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GIF
GIF
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GIF
Filename extension
.gif
Internet media type
image/gif
Type codeGIFf
Uniform Type Identifier (UTI)com.compuserve.gif
Magic numberGIF87a/GIF89a
Developed byCompuServe
Initial release15 June 1987; 38 years ago (1987-06-15)[1]
Latest release
89a
1989; 36 years ago (1989)[2]
Type of formatlossless bitmap image format
Websitewww.w3.org/Graphics/GIF/spec-gif89a.txt

The Graphics Interchange Format (GIF; /ɡɪf/ GHIF or /ɪf/ JIF, see § Pronunciation) is a bitmap image format that was developed by a team at the online services provider CompuServe led by American computer scientist Steve Wilhite and released on June 15, 1987.[1]

The format can contain up to 8 bits per pixel, allowing a single image to reference its own palette of up to 256 different colors chosen from the 24-bit RGB color space. It can also represent multiple images in a file, which can be used for animations, and allows a separate palette of up to 256 colors for each frame. These palette limitations make GIF less suitable for reproducing color photographs and other images with color gradients but well-suited for simpler images such as graphics or logos with solid areas of color.

GIF images are compressed using the Lempel–Ziv–Welch (LZW) lossless data compression technique to reduce the file size without degrading the visual quality. While once in widespread usage on the World Wide Web because of its wide implementation and portability between applications and operating systems, usage of the format has declined for space and quality reasons, often being replaced with newer formats such as PNG for static images and MP4 for videos. In this context, short video clips are sometimes termed "GIFs" despite having no relation to the original file format.[3]

History

[edit]
"Under construction" animated GIFs were a common feature of unfinished websites in the late 90s and early noughts.
Animated GIFs like this one were once a common decorative feature of personal websites in the late 90s and early aughts.

CompuServe introduced GIF on 15 June 1987 to provide a color image format for their file downloading areas. This replaced their earlier run-length encoding format, which was black and white only. GIF became popular because it used Lempel–Ziv–Welch data compression. Since this was more efficient than the run-length encoding used by PCX and MacPaint, fairly large images could be downloaded reasonably quickly even with slow modems.

The original version of GIF was called 87a.[1] This version already supported multiple images in a stream.

In 1989, CompuServe released an enhanced version, called 89a,[2] This version added:

  • support for animation delays
  • transparent background colors
  • storage of application-specific metadata
  • allowing text labels as text (not embedding them in the graphical data). However, this feature is rarely used. Modern browsers do not support it, and there is little control over fonts and styling.

The two versions can be distinguished by looking at the first six bytes of the file (the "magic number" or signature), which, when interpreted as ASCII, read "GIF87a" or "GIF89a", respectively.

CompuServe encouraged the adoption of GIF by providing downloadable conversion utilities for many computers. By December 1987, for example, an Apple IIGS user could view pictures created on an Atari ST or Commodore 64.[4] GIF was one of the first two image formats commonly used on Web sites, the other being the black-and-white XBM.[5]

In September 1995 Netscape Navigator 2.0 added the ability for animated GIFs to loop.

While GIF was developed by CompuServe, it used the Lempel–Ziv–Welch (LZW) lossless data compression algorithm patented by Unisys in 1985. Controversy over the licensing agreement between Unisys and CompuServe in 1994 spurred the development of the Portable Network Graphics (PNG) standard. In 2004, all patents relating to the proprietary compression used for GIF expired.

The feature of storing multiple images in one file, accompanied by control data, is used extensively on the Web to produce simple animations.

The optional interlacing feature, which stores image scan lines out of order in such a fashion that even a partially downloaded image was somewhat recognizable, also helped GIF's popularity,[6] as a user could abort the download if it was not what was required.

In May 2015 Facebook added support for GIF.[7][8] In 2014, Twitter, also added support to GIF as well as Instagram in 2018.[9]

In 2016, the Internet Archive released a searchable library of GIFs from their Geocities archive.[10][11]

Terminology

[edit]

As a noun, the word GIF is found in the newer editions of many dictionaries. In 2012, the American wing of the Oxford University Press recognized GIF as a verb as well, meaning "to create a GIF file", as in "GIFing was the perfect medium for sharing scenes from the Summer Olympics". The press's lexicographers voted it their word of the year, saying that GIFs have evolved into "a tool with serious applications including research and journalism".[12][13]

Pronunciation

[edit]
A humorous infographic announcing the 2013 launch of a Tumblr account for the White House suggests pronouncing GIF with a hard g.

The pronunciation of the first letter of GIF has been disputed since the 1990s. The most common pronunciations in English are /ɪf/ (with a soft g as in gin) and /ɡɪf/ (with a hard g as in gift), differing in the phoneme represented by the letter G. The creators of the format pronounced the acronym GIF as /ɪf/, with a soft g, with Wilhite stating that he intended for the pronunciation to deliberately echo the American peanut butter brand Jif, and CompuServe employees would often quip "choosy developers choose GIF", a spoof of Jif's television commercials.[14] However, the word is widely pronounced as /ɡɪf/, with a hard g,[15] and polls have generally shown that this hard g pronunciation is more prevalent.[16][17]

Dictionary.com[18] cites both pronunciations, indicating /ɪf/ as the primary pronunciation, while Cambridge Dictionary of American English[19] offers only the hard-g pronunciation. Merriam-Webster's Collegiate Dictionary[20] and Oxford Dictionaries cite both pronunciations, but place the hard g first: /ɡɪf, ɪf/.[21][22][23][24] The New Oxford American Dictionary gave only /ɪf/ in its second edition[25] but updated it to /ɪf, ɡɪf/ in the third edition.[26]

The disagreement over the pronunciation has led to heated Internet debate. On the occasion of receiving a lifetime achievement award at the 2013 Webby Awards ceremony, Wilhite publicly rejected the hard-g pronunciation;[15][27][28] his speech led to more than 17,000 posts on Twitter and dozens of news articles.[29] The White House[15] and the TV program Jeopardy! also entered the debate in 2013.[28] In February 2020, The J.M. Smucker Company, the owners of the Jif brand, partnered with the animated image database and search engine Giphy to release a limited-edition "Jif vs. GIF" (hashtagged as #JIFvsGIF) jar of peanut butter that had a label humorously declaring the soft-g pronunciation to refer exclusively to the peanut butter, and GIF to be exclusively pronounced with the hard-g pronunciation.[30]

Usage

[edit]

GIFs are suitable for sharp-edged line art with a limited number of colors, such as logos. This takes advantage of the format's lossless compression, which favors flat areas of uniform color with well defined edges.[31] They can also be used to store low-color sprite data for games.[32] GIFs can be used for small animations and low-resolution video clips, or as reactions in online messaging used to convey emotion and feelings instead of using words. They are popular on social media platforms such as Tumblr,[33] Facebook and Twitter.[34]

File format

[edit]

Conceptually, a GIF file describes a fixed-sized graphical area (the "logical screen") populated with zero or more "images". Many GIF files have a single image that fills the entire logical screen. Others divide the logical screen into separate sub-images. The images may also function as animation frames in an animated GIF file, but again these need not fill the entire logical screen.

GIF files start with a fixed-length header ("GIF87a" or "GIF89a") giving the version, followed by a fixed-length Logical Screen Descriptor giving the pixel dimensions and other characteristics of the logical screen. The screen descriptor may also specify the presence and size of a Global Color Table (GCT), which follows next if present.

Thereafter, the file is divided into segments of the following types, each introduced by a 1-byte sentinel:

  • An image (introduced by 0x2C, an ASCII comma ',')
  • An extension block (introduced by 0x21, an ASCII exclamation point '!')
  • The trailer (a single byte of value 0x3B, an ASCII semicolon ';'), which should be the last byte of the file.

An image starts with a fixed-length Image Descriptor, which may specify the presence and size of a Local Color Table (which follows next if present). The image data follows: one byte giving the bit width of the unencoded symbols (which must be at least 2 bits wide, even for bi-color images), followed by a series of sub-blocks containing the LZW-encoded data.

Extension blocks (blocks that "extend" the 87a definition via a mechanism already defined in the 87a spec) consist of the sentinel, an additional byte specifying the type of extension, and a series of sub-blocks with the extension data. Extension blocks that modify an image (like the Graphic Control Extension that specifies the optional animation delay time and optional transparent background color) must immediately precede the segment with the image they refer to.

Each sub-block begins with a byte giving the number of subsequent data bytes in the sub-block (1 to 255). The series of sub-blocks is terminated by an empty sub-block (a 0 byte).

This structure allows the file to be parsed even if not all parts are understood. A GIF marked 87a may contain extension blocks; the intent is that a decoder can read and display the file without the features covered in extensions it does not understand.

The full detail of the file format is covered in the GIF specification.[2]

Palettes

[edit]
An example of a GIF image saved with a web-safe palette and dithered using the Floyd–Steinberg method; as a consequence of the relatively few colors allowed in such an image, the image's contrast and colorfulness are noticeably poor.

GIF is a palette-based image format: each frame contains up to 256 colors chosen from the full 24-bit RGB color space. These colors are defined in a table (palette), and each pixel refers to an index in this palette. Originally, this was appropriate for hardware with limited color support; today, it makes GIF ideal for simple graphics, line drawings, logos, and basic animations. To approximate more colors, dithering techniques are sometimes used, but these can reduce image clarity or increase file size.

A GIF file may have a global color table, and each frame may also have a local color table. To conserve space, the specification allows color tables of 2n colors for any n from 1 through 8. Most graphics applications will read and display GIF images with any of these table sizes; but many do not support all sizes when creating images. Tables of 2, 16, and 256 colors are widely supported.

GIF supports transparency, allowing one color to be marked as transparent so that backgrounds or layered effects can show through.

True color

[edit]

Although GIF is almost never used for true color images, it is possible to do so.[35][36] A GIF image can include multiple image blocks, each of which can have its own 256-color palette, and the blocks can be tiled to create a complete image. Alternatively, the GIF89a specification introduced the idea of a "transparent" color where each image block can include its own palette of 255 visible colors plus one transparent color. A complete image can be created by layering image blocks with the visible portion of each layer showing through the transparent portions of the layers above.

An animated GIF illustrating a technique for displaying more than the typical limit of 256 colors

To render a full-color image as a GIF, the original image must be broken down into smaller regions having no more than 255 or 256 different colors. Each of these regions is then stored as a separate image block with its own local palette and when the image blocks are displayed together (either by tiling or by layering partially transparent image blocks), the complete, full-color image appears. For example, breaking an image into tiles of 16 by 16 pixels (256 pixels in total) ensures that no tile has more than the local palette limit of 256 colors, although larger tiles may be used and similar colors merged resulting in some loss of color information.[35]

Since each image block can have its own local color table, a GIF file having many image blocks can be very large, limiting the usefulness of full-color GIFs.[36] Additionally, not all GIF rendering programs handle tiled or layered images correctly. Many rendering programs interpret tiles or layers as animation frames and display them in sequence as an animation[35] with most web browsers automatically displaying the frames with a delay time of 0.1 seconds or more.[37][38][better source needed]

Example GIF file

[edit]
Microsoft Paint saves a small black-and-white image as the following GIF file (illustrated enlarged).
Paint does not make optimal use of GIF; due to the unnecessarily large color table (storing a full 256 colors instead of the used 2) and symbol width, this GIF file is not an efficient representation of the 15-pixel image.
Although the Graphic Control Extension block declares color index 16 (hexadecimal 10) to be transparent, that index is not used in the image. The only color indexes appearing in the image data are decimal 40 and 255, which the Global Color Table maps to black and white, respectively.

Sample image (enlarged), actual size 3 pixels wide by 5 high

The hex numbers in the following tables are in little-endian byte order, as the format specification prescribes.

Table of example GIF image values
Byte # (hex) Hexadecimal Text or value Meaning
0 47 49 46 38 39 61 GIF89a Header
Logical Screen Descriptor
6 03 00 3 Logical screen width
8 05 00 5 Logical screen height
A F7 GCT follows for 256 colors with resolution 3 × 8 bits/primary, the lowest 3 bits represent the bit depth minus 1, the highest true bit means that the GCT is present
B 00 0 Background color: index #0; #000000 black
C 00 0 Default pixel aspect ratio, 0:0
Global Color Table
D 00 00 00
R (red) G (green) B (blue)
0 0 0
Global Color Table, color #0: #000000, black
Bytes Dh to 30Ch in the example define a palette of 256 colors. The indexes used in the sample image for black and white are 28h and FFh.
10 80 00 00
R (red) G (green) B (blue)
128 0 0
Global Color Table, color #1: transparent bit, not used in image
... ... ... Global Color Table extends to 30A
30A FF FF FF
R (red) G (green) B (blue)
255 255 255
Global Color Table, color #255: #ffffff, white
Graphic Control Extension
30D 21 '!' An Extension Block (introduced by an ASCII exclamation point '!')
30E F9 A Graphic Control Extension
30F 04 4 Amount of GCE data, 4 bytes
310 01 Transparent background color; this is a bit field, the lowest bit signifies transparency
311 00 00 Delay for animation in hundredths of a second; not used
313 10 16 Color number of transparent pixel in GCT
314 00 End of GCE block
Image Descriptor
315 2C ',' An Image Descriptor (introduced by 0x2C, an ASCII comma ',')
316 00 00 00 00 (0, 0) North-west corner position of image in logical screen
31A 03 00 05 00 (3, 5) Image width and height in pixels
31E 00 0 Local color table bit, 0 means none
Image Data
31F 08 8 Start of image, LZW minimum code size
320 0B 11 Beginning of first data sub-block, specifying 11 bytes of encoded data to follow
321 00 51 FC 1B 28 70 A0 C1 83 01 01 <image data> 11 bytes of image data, see field 320
32C 00 0 Ending data sub-block, specifying no following data bytes (and the end of the image)
Trailer
32D 3B ';' File termination block indicator (an ASCII semi-colon ';')

Image coding

[edit]

The image pixel data, scanned horizontally from top left, are converted by LZW encoding to codes that are then mapped into bytes for storing in the file. The pixel codes typically don't match the 8-bit size of the bytes, so the codes are packed into bytes by a "little-Endian" scheme: the least significant bit of the first code is stored in the least significant bit of the first byte, higher order bits of the code into higher order bits of the byte, spilling over into the low order bits of the next byte as necessary. Each subsequent code is stored starting at the least significant bit not already used.

This byte stream is stored in the file as a series of "sub-blocks". Each sub-block has a maximum length 255 bytes and is prefixed with a byte indicating the number of data bytes in the sub-block. The series of sub-blocks is terminated by an empty sub-block (a single 0 byte, indicating a sub-block with 0 data bytes).

For the sample image above the reversible mapping between 9-bit codes and bytes is shown below.

Reversible mapping
9-bit code Byte
Hexadecimal Binary Binary Hexadecimal
100 1 00000000 00000000 00
028 00 0101000 0101000 1 51
0FF 011 111111 111111 00 FC
103 1000 00011 00011 011 1B
102 10000 0010 0010 1000 28
103 100000 011 011 10000 70
106 1000001 10 10 100000 A0
107 10000011 1 1 1000001 C1
10000011 83
101 1 00000001 00000001 01
0000000 1 01

A slight compression is evident: pixel colors defined initially by 15 bytes are exactly represented by 12 code bytes including control codes. The encoding process that produces the 9-bit codes is shown below. A local string accumulates pixel color numbers from the palette, with no output action as long as the local string can be found in a code table. There is special treatment of the first two pixels that arrive before the table grows from its initial size by additions of strings. After each output code, the local string is initialized to the latest pixel color (that could not be included in the output code).

                          Table           9-bit
                     string --> code      code    Action
                          #0 | 000h               Initialize root table of 9-bit codes
                    palette  |  :
                     colors  |  :
                        #255 | 0FFh
                         clr | 100h
                         end | 101h
                             |            100h     Clear
Pixel          Local         |
color Palette  string        |
BLACK  #40     28            |            028h     1st pixel always to output
WHITE  #255    FF            |                     String found in table
                  28 FF      | 102h                Always add 1st string to table
               FF            |                     Initialize local string
WHITE  #255    FF FF         |                     String not found in table
                             |            0FFh     - output code for previous string
                  FF FF      | 103h                - add latest string to table
               FF            |                     - initialize local string
WHITE  #255    FF FF         |                     String found in table
BLACK  #40     FF FF 28      |                     String not found in table
                             |            103h     - output code for previous string
                  FF FF 28   | 104h                - add latest string to table
               28            |                     - initialize local string
WHITE  #255    28 FF         |                     String found in table
WHITE  #255    28 FF FF      |                     String not found in table
                             |            102h     - output code for previous string
                  28 FF FF   | 105h                - add latest string to table
               FF            |                     - initialize local string
WHITE  #255    FF FF         |                     String found in table
WHITE  #255    FF FF FF      |                     String not found in table
                             |            103h     - output code for previous string
                  FF FF FF   | 106h                - add latest string to table
               FF            |                     - initialize local string
WHITE  #255    FF FF         |                     String found in table
WHITE  #255    FF FF FF      |                     String found in table
WHITE  #255    FF FF FF FF   |                     String not found in table
                             |            106h     - output code for previous string
                  FF FF FF FF| 107h                - add latest string to table
               FF            |                     - initialize local string
WHITE  #255    FF FF         |                     String found in table
WHITE  #255    FF FF FF      |                     String found in table
WHITE  #255    FF FF FF FF   |                     String found in table
                                                   No more pixels
                                          107h     - output code for last string
                                          101h     End

For clarity the table is shown above as being built of strings of increasing length. That scheme can function but the table consumes an unpredictable amount of memory. Memory can be saved in practice by noting that each new string to be stored consists of a previously stored string augmented by one character. It is economical to store at each address only two words: an existing address and one character.

The LZW algorithm requires a search of the table for each pixel. A linear search through up to 4096 addresses would make the coding slow. In practice the codes can be stored in order of numerical value; this allows each search to be done by a SAR (Successive Approximation Register, as used in some ADCs), with only 12 magnitude comparisons. For this efficiency an extra table is needed to convert between codes and actual memory addresses; the extra table upkeeping is needed only when a new code is stored which happens at much less than pixel rate.

Image decoding

[edit]

Decoding begins by mapping the stored bytes back to 9-bit codes. These are decoded to recover the pixel colors as shown below. A table identical to the one used in the encoder is built by adding strings by this rule:

Is incoming code found in table?
Yes add string for local code followed by first byte of string for incoming code
No add string for local code followed by copy of its own first byte
      shift
9-bit ----> Local      Table                 Pixel
code        code   code --> string   Palette color  Action
100h               000h  | #0                       Initialize root table of 9-bit codes
                    :    | palette
                    :    | colors
                   0FFh  | #255
                   100h  | clr
                   101h  | end
028h                     |             #40   BLACK  Decode 1st pixel
0FFh        028h         |                           Incoming code found in table
                         |             #255  WHITE   - output string from table
                   102h  | 28 FF                     - add to table
103h        0FFh         |                           Incoming code not found in table
                   103h  | FF FF                     - add to table
                         |                           - output string from table
                         |             #255  WHITE
                         |             #255  WHITE
102h        103h         |                           Incoming code found in table
                         |                           - output string from table
                         |             #40   BLACK
                         |             #255  WHITE
                   104h  | FF FF 28                  - add to table
103h        102h         |                           Incoming code found in table
                         |                           - output string from table
                         |             #255  WHITE
                         |             #255  WHITE
                   105h  | 28 FF FF                  - add to table
106h        103h         |                           Incoming code not found in table
                   106h  | FF FF FF                  - add to table
                         |                           - output string from table
                         |             #255  WHITE
                         |             #255  WHITE
                         |             #255  WHITE
107h        106h         |                           Incoming code not found in table
                   107h  | FF FF FF FF               - add to table
                         |                           - output string from table
                         |             #255  WHITE
                         |             #255  WHITE
                         |             #255  WHITE
                         |             #255  WHITE
101h                     |                           End

LZW code lengths

[edit]

Shorter code lengths can be used for palettes smaller than the 256 colors in the example. If the palette is only 64 colors (so color indexes are 6 bits wide), the symbols can range from 0 to 63, and the symbol width can be taken to be 6 bits, with codes starting at 7 bits. In fact, the symbol width need not match the palette size: as long as the values decoded are always less than the number of colors in the palette, the symbols can be any width from 2 to 8, and the palette size any power of 2 from 2 to 256. For example, if only the first four colors (values 0 to 3) of the palette are used, the symbols can be taken to be 2 bits wide with codes starting at 3 bits.

Conversely, the symbol width could be set at 8, even if only values 0 and 1 are used; these data would only require a two-color table. Although there would be no point in encoding the file that way, something similar typically happens for bi-color images: the minimum symbol width is 2, even if only values 0 and 1 are used.

The code table initially contains codes that are one bit longer than the symbol size in order to accommodate the two special codes clr and end and codes for strings that are added during the process. When the table is full the code length increases to give space for more strings, up to a maximum code 4095 = FFF(hex). As the decoder builds its table it tracks these increases in code length and it is able to unpack incoming bytes accordingly.

Uncompressed GIF

[edit]

A 46×46 uncompressed GIF with 7-bit symbols (128 colors, 8-bit codes).
Click on the image for an explanation of the code.

The GIF encoding process can be modified to create a file without LZW compression that is still viewable as a GIF image. This technique was introduced originally as a way to avoid patent infringement. Uncompressed GIF can also be a useful intermediate format for a graphics programmer because individual pixels are accessible for reading or painting. An uncompressed GIF file can be converted to an ordinary GIF file simply by passing it through an image editor.

The modified encoding method ignores building the LZW table and emits only the root palette codes and the codes for CLEAR and STOP. This yields a simpler encoding (a 1-to-1 correspondence between code values and palette codes) but sacrifices all of the compression: each pixel in the image generates an output code indicating its color index. When processing an uncompressed GIF, a standard GIF decoder will not be prevented from writing strings to its dictionary table, but the code width must never increase since that triggers a different packing of bits to bytes.

If the symbol width is n, the codes of width n+1 fall naturally into two blocks: the lower block of 2n codes for coding single symbols, and the upper block of 2n codes that will be used by the decoder for sequences of length greater than one. Of that upper block, the first two codes are already taken: 2n for CLEAR and 2n + 1 for STOP. The decoder must also be prevented from using the last code in the upper block, 2n+1 − 1, because when the decoder fills that slot, it will increase the code width. Thus in the upper block there are 2n − 3 codes available to the decoder that won't trigger an increase in code width. Because the decoder is always one step behind in maintaining the table, it does not generate a table entry upon receiving the first code from the encoder, but will generate one for each succeeding code. Thus the encoder can generate 2n − 2 codes without triggering an increase in code width. Therefore, the encoder must emit extra CLEAR codes at intervals of 2n − 2 codes or less to make the decoder reset the coding dictionary. The GIF standard allows such extra CLEAR codes to be inserted in the image data at any time. The composite data stream is partitioned into sub-blocks that each carry from 1 to 255 bytes.

For the sample 3×5 image above, the following 9-bit codes represent "clear" (100) followed by image pixels in scan order and "stop" (101).

100 028 0FF 0FF 0FF 028 0FF 0FF 0FF 0FF 0FF 0FF 0FF 0FF 0FF 0FF 101

After the above codes are mapped to bytes, the uncompressed file differs from the compressed file thus:

Byte # (hex) Hexadecimal Text or value Meaning
320 14 20 20 bytes uncompressed image data follow
321 00 51 FC FB F7 0F C5 BF 7F FF FE FD FB F7 EF DF BF 7F 01 01
335 00 0 End of image data

Compression example

[edit]

The trivial example of a large image of solid color demonstrates the variable-length LZW compression used in GIF files.

Sample compression of a GIF file
Code Pixels Notes
No.
Ni
Value
Ni + 256
Length
(bits)
This code
Ni
Accumulated
Ni(Ni + 1)/2
Relations using Ni only apply to same-color pixels until coding table is full.
0 100h 9 Clear code table
1 FFh 1 1 Top left pixel color chosen as the highest index of a 256-color palette
2 102h 2 3
3
255
103h
1FFh
3
255
6
32640
Last 9-bit code
256
767
200h
3FFh
10 256
767
32896
294528
Last 10-bit code
768
1791
400h
7FFh
11 768
1791
295296
1604736
Last 11-bit code
1792
3839
800h
FFFh
12 1792
3839
1606528
7370880
Code table full
FFFh 3839 The maximum code may repeat for more same-color pixels.
Overall data compression asymptotically approaches 3839 × 8/12 = ⁠2559+1/3
101h End of image data

The code values shown are packed into bytes which are then packed into blocks of up to 255 bytes. A block of image data begins with a byte that declares the number of bytes to follow. The last block of data for an image is marked by a zero block-length byte.

Interlacing

[edit]
Screen capture of an interlaced GIF loading in a web browser

The GIF Specification allows each image within the logical screen of a GIF file to specify that it is interlaced; i.e., that the order of the raster lines in its data block is not sequential. This allows a partial display of the image that can be recognized before the full image is painted.

An interlaced image is divided from top to bottom into strips 8 pixels high, and the rows of the image are presented in the following order:

  • Pass 1: Line 0 (the top-most line) from each strip.
  • Pass 2: Line 4 from each strip.
  • Pass 3: Lines 2 and 6 from each strip.
  • Pass 4: Lines 1, 3, 5, and 7 from each strip.

The pixels within each line are not interlaced, but presented consecutively from left to right. As with non-interlaced images, there is no break between the data for one line and the data for the next. The indicator that an image is interlaced is a bit set in the corresponding Image Descriptor block.

Animated GIF

[edit]
GIF can be used to display animation, as in this image of Newton's cradle.

Although GIF was not designed as an animation medium, its ability to store multiple images in one file naturally suggested using the format to store the frames of an animation sequence. To facilitate displaying animations, the GIF89a spec added the Graphic Control Extension (GCE), which allows the images (frames) in the file to be painted with time delays, forming a video clip. Each frame in an animation GIF is introduced by its own GCE specifying the time delay to wait after the frame is drawn. Global information at the start of the file applies by default to all frames. The data is stream-oriented, so the file offset of the start of each GCE depends on the length of preceding data. Within each frame the LZW-coded image data is arranged in sub-blocks of up to 255 bytes; the size of each sub-block is declared by the byte that precedes it.

By default, an animation displays the sequence of frames only once, stopping when the last frame is displayed. To enable an animation to loop, Netscape in the 1990s used the Application Extension block (intended to allow vendors to add application-specific information to the GIF file) to implement the Netscape Application Block (NAB).[39] This block, placed immediately before the sequence of animation frames, specifies the number of times the sequence of frames should be played (1 to 65535 times) or that it should repeat continuously (zero indicates loop forever). Support for these repeating animations first appeared in Netscape Navigator version 2.0, and then spread to other browsers.[40] Most browsers now recognize and support NAB, though it is not strictly part of the GIF89a specification.

The following example shows the structure of the animation file Rotating earth (large).gif shown (as a thumbnail) in the article's infobox.

Structure of GIF
Byte # (hex) Hexadecimal Text or value Meaning
0 47 49 46 38 39 61 GIF89a Logical Screen Descriptor
6 90 01 400 Width in pixels
8 90 01 400 Height in pixels
A F7 GCT follows for 256 colors with resolution 3 × 8 bits/primary
B 00 0 Background color: #000000, black
C 00 0 Default pixel aspect ratio, 0:0
D 00 Global Color Table
30D 21 '!' An Extension Block (introduced by an ASCII exclamation point '!')
30E FF Application Extension
30F 0B 11 Size of block including application name and verification bytes (always 11)
310 4E 45 54 53 43 41 50 45 32 2E 30 NETSCAPE2.0 8-byte application name plus 3 verification bytes
31B 03 3 Number of bytes in the following sub-block
31C 01 1 Index of the current data sub-block (always 1 for the NETSCAPE block)
31D FF FF 65535 Unsigned number of repetitions
31F 00 End of the sub-block chain for the Application Extension block
320 21 '!' An Extension Block (introduced by an ASCII exclamation point '!')
321 F9 Graphic Control Extension for frame #1
322 04 4 Number of bytes (4) in the current sub-block
323 04
000.....
...001..
......0.
.......0
(broken into sections for easier reading)
Reserved, 5 lower bits are bit field
Disposal method 1: do not dispose
No user input
Transparent color, 0 means not given
324 09 00 9 Frame delay: 0.09 second delay before painting next frame
326 FF Transparent color index (unused in this frame)
327 00 End of sub-block chain for Graphic Control Extension block
328 2C ',' An Image Descriptor (introduced by 0x2C, an ASCII comma ',')
329 00 00 00 00 (0, 0) North-west corner position of image in logical screen: (0, 0)
32D 90 01 90 01 (400, 400) Frame width and height: 400 × 400 pixels
331 00 0 Local color table: 0 means none & no interlacing
332 08 8 Minimum LZW code size for Image Data of frame #1
333 FF 255 Number of bytes of LZW image data in the following sub-block: 255 bytes
334 ... <image data> Image data, 255 bytes
433 FF 255 Number of bytes of LZW image data in the following sub-block, 255 bytes
434 ... <image data> Image data, 255 bytes
Repeat for next blocks
92C0 00 End of sub-block chain for this frame
92C1 21 '!' An Extension Block (introduced by an ASCII exclamation point '!')
92C2 F9 Graphic Control Extension for frame #2
Repeat for next frames
EDABD 21 '!' An Extension Block (introduced by an ASCII exclamation point '!')
EDABE F9 Graphic Control Extension for frame #44
Image information and data for frame #44
F48F5 3B Trailer: Last byte in the file, signaling EOF

The animation delay for each frame is specified in the GCE in hundredths of a second. Some economy of data is possible where a frame need only rewrite a portion of the pixels of the display, because the Image Descriptor can define a smaller rectangle to be rescanned instead of the whole image. Browsers or other displays that do not support animated GIFs typically show only the first frame.

The size and color quality of animated GIF files can vary significantly depending on the application used to create them. Strategies for minimizing file size include using a common global color table for all frames (rather than a complete local color table for each frame) and minimizing the number of pixels covered in successive frames (so that only the pixels that change from one frame to the next are included in the latter frame). More advanced techniques involve modifying color sequences to better match the existing LZW dictionary, a form of lossy compression. Simply packing a series of independent frame images into a composite animation tends to yield large file sizes. Tools are available to minimize the file size given an existing GIF.

Metadata

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Metadata can be stored in GIF files as a comment block, a plain text block, or an application-specific application extension block. Several graphics editors use unofficial application extension blocks to include the data used to generate the image, so that it can be recovered for further editing.

All of these methods technically require the metadata to be broken into sub-blocks so that applications can navigate the metadata block without knowing its internal structure.

The Extensible Metadata Platform (XMP) metadata standard introduced an unofficial but now widespread "XMP Data" application extension block for including XMP data in GIF files.[41] Since the XMP data is encoded using UTF-8 without NUL characters, there are no 0 bytes in the data. Rather than break the data into formal sub-blocks, the extension block terminates with a "magic trailer" that routes any application treating the data as sub-blocks to a final 0 byte that terminates the sub-block chain.

Unisys and LZW patent enforcement

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In 1977 and 1978, Jacob Ziv and Abraham Lempel published a pair of papers on a new class of lossless data-compression algorithms, now collectively referred to as LZ77 and LZ78. In 1983, Terry Welch developed a fast variant of LZ78 which was named Lempel–Ziv–Welch (LZW).[42][43]

Welch filed a patent application for the LZW method in June 1983. The resulting patent, US4558302,[44] granted in December 1985, was assigned to Sperry Corporation who subsequently merged with Burroughs Corporation in 1986 and formed Unisys.[42] Further patents were obtained in the United Kingdom, France, Germany, Italy, Japan and Canada.

In addition to the above patents, Welch's 1983 patent also includes citations to several other patents that influenced it, including:

In June 1984, an article by Welch was published in the IEEE magazine which publicly described the LZW technique for the first time.[49] LZW became a popular data compression technique and, when the patent was granted, Unisys entered into licensing agreements with over a hundred companies.[42][50]

The popularity of LZW led CompuServe to choose it as the compression technique for their version of GIF, developed in 1987. At the time, CompuServe was not aware of the patent.[42] Unisys became aware that the version of GIF used the LZW compression technique and entered into licensing negotiations with CompuServe in January 1993. The subsequent agreement was announced on 24 December 1994.[43] Unisys stated that they expected all major commercial on-line information services companies employing the LZW patent to license the technology from Unisys at a reasonable rate, but that they would not require licensing, or fees to be paid, for non-commercial, non-profit GIF-based applications, including those for use on the on-line services.[50]

Following this announcement, there was widespread condemnation of CompuServe and Unisys, and many software developers threatened to stop using GIF. The PNG format (see below) was developed in 1995 as an intended replacement.[42][43][49] However, obtaining support from the makers of Web browsers and other software for the PNG format proved difficult and it was not possible to replace GIF, although PNG has gradually increased in popularity.[42] Therefore, GIF variations without LZW compression were developed. For instance the libungif library, based on Eric S. Raymond's giflib, allows creation of GIFs that followed the data format but avoided the compression features, thus avoiding use of the Unisys LZW patent.[51] A 2001 Dr. Dobb's article described a way to achieve LZW-compatible encoding for data that would compress well under a run-length encoding mechanism without infringing on its patents.[52]

In August 1999, Unisys changed the details of their licensing practice, announcing the option for owners of certain non-commercial and private websites to obtain licenses on payment of a one-time license fee of $5000 or $7500.[53] Such licenses were not required for website owners or other GIF users who had used licensed software to generate GIFs. Nevertheless, Unisys was subjected to thousands of online attacks and abusive emails from users believing that they were going to be charged $5000 or sued for using GIFs on their websites.[54] Despite giving free licenses to hundreds of non-profit organizations, schools and governments, Unisys was completely unable to generate any good publicity and continued to be condemned by individuals and organizations such as the League for Programming Freedom who started the "Burn All GIFs" campaign in 1999.[55][56]

The United States LZW patent expired on 20 June 2003.[57] The counterpart patents in the United Kingdom, France, Germany and Italy expired on 18 June 2004, the Japanese patents expired on 20 June 2004, and the Canadian patent expired on 7 July 2004.[57] Consequently, while Unisys has further patents and patent applications relating to improvements to the LZW technique,[57] LZW itself (and consequently GIF) have been free to use since July 2004.[58]

Alternatives

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PNG

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Portable Network Graphics (PNG) was designed as a replacement for GIF in order to avoid infringement of Unisys' patent on the LZW compression technique.[42] PNG offers better compression and more features than GIF,[59] animation being the only significant exception. PNG is more suitable than GIF in instances where true-color imaging and alpha transparency are required.

Although support for PNG format came slowly, new web browsers support PNG. Older versions of Internet Explorer do not support all features of PNG. Versions 6 and earlier do not support alpha channel transparency without using Microsoft-specific HTML extensions.[60] Gamma correction of PNG images was not supported before version 8, and the display of these images in earlier versions may have the wrong tint.[61]

For identical 8-bit (or lower) image data, PNG files are typically smaller than the equivalent GIFs, due to the more efficient compression techniques used in PNG encoding.[62] Complete support for GIF is complicated chiefly by the complex canvas structure it allows, though this is what enables the compact animation features.

Animation formats

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Videos resolve many issues that GIFs present through common usage on the web. They include drastically smaller file sizes, the ability to surpass the 8-bit color restriction, and better frame-handling and compression through inter-frame coding. Virtually universal support for the GIF format in web browsers and a lack of official support for video in the HTML standard caused GIF to rise to prominence for the purpose of displaying short video-like files on the web.

  • MNG ("Multiple-image Network Graphics") was originally developed as a PNG-based solution for animations. MNG reached version 1.0 in 2001, but few applications support it.
  • APNG ("Animated Portable Network Graphics") was proposed by Mozilla in 2006. APNG is an extension to the PNG format as alternative to the MNG format. APNG is supported by most browsers as of 2019.[63] APNG provides the ability to animate PNG files, while retaining backwards compatibility in decoders that cannot understand the animation chunk (unlike MNG). Older decoders will simply render the first frame of the animation.
The PNG group officially rejected APNG as an official extension on 20 April 2007.[64]
There have been several subsequent proposals for a simple animated graphics format based on PNG using several different approaches.[65] Nevertheless, APNG is still under development by Mozilla and is supported in Firefox 3.0[66][67] while MNG support was dropped.[68][69] APNG is currently supported by all major web browsers including Chrome (since version 59.0), Opera, Firefox and Edge.
  • Embedded Adobe Flash objects and MPEG files were used on some websites to display simple video, but required the use of an additional browser plugin.
  • WebM and WebP are in development and are supported by some web browsers.[70]
  • Other options for web animation include serving individual frames using AJAX, or animating SVG ("Scalable vector graphics") images using JavaScript or SMIL ("Synchronized Multimedia Integration Language").[71]
  • With the introduction of widespread support of the HTML video (<video>) tag in most web browsers, some websites use a looped version of the video tag generated. This gives the appearance of a GIF, but with the size and speed advantages of compressed video.
Notable examples are Gfycat and Imgur and their GIFV metaformat, which is really a video tag playing a looped MP4 or WebM compressed video.[72]
Compared to the GIF format, which lacks DCT compression, HEIF allows significantly more efficient compression. HEIF stores more information and produces higher-quality animated images at a small fraction of an equivalent GIF's size.[74]

Uses

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In April 2014, 4chan added support for silent WebM videos that are under 3 MB in size and 2 min in length,[76][77] and in October 2014, Imgur started converting any GIF files uploaded to the site to H.264 video and giving the link to the HTML player the appearance of an actual file with a .gifv extension.[78][79]

In January 2016, Telegram started re-encoding all GIFs to MPEG-4 videos that "require up to 95% less disk space for the same image quality."[80]

See also

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References

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[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
The Graphics Interchange Format (GIF) is a raster image format employing lossless Lempel–Ziv–Welch (LZW) compression, supporting up to 256 colors from a palette, binary transparency, and frame-by-frame animation for creating looping sequences. Developed by Steve Wilhite and a team at CompuServe to enable efficient color image exchange over dial-up connections, it was publicly released on June 15, 1987. GIF's small file sizes and animation capabilities made it a foundational element of early web graphics, powering icons, banners, and memes despite its color limitations compared to formats like JPEG. The format's reliance on the LZW algorithm, patented by Unisys, triggered licensing enforcement efforts in the 1990s, prompting open-source advocates to boycott GIF and develop alternatives such as the Portable Network Graphics (PNG) format to avoid patent royalties. These patents expired between 2003 and 2004, eliminating restrictions and sustaining GIF's prevalence in digital culture.

History

Invention and Initial Release

The Graphics Interchange Format (GIF) was developed in 1987 by a team of engineers at , led by , to enable the efficient transmission of color images over the slow dial-up connections typical of early online services. At the time, operated as a network where users accessed content via modems at speeds around 300 to 1200 , making uncompressed image files impractical due to high bandwidth demands; Wilhite's team sought a compressed format supporting up to 256 colors per image while maintaining quality for graphics like icons and simple illustrations. The format incorporated the Lempel-Ziv-Welch (LZW) algorithm for lossless data compression, licensed from , which allowed significant file size reductions without data loss, distinguishing it from earlier raster formats limited to or inefficient encoding. Wilhite completed the initial GIF specification in May 1987, after envisioning a standardized structure that could handle palettes and basic metadata like screen dimensions. CompuServe released the GIF format for public use on June 15, 1987, initially as version 87a, marking the first widespread adoption of a compressed color image standard in dial-up networking environments predating the World Wide Web. This debut facilitated image sharing within CompuServe's forums and file libraries, with early examples including static graphics that demonstrated the format's compression efficacy, reducing transfer times from minutes to seconds on prevailing hardware.

Early Adoption and Evolution

The Graphics Interchange Format (GIF) saw initial adoption within 's online service following its release on June 15, 1987, where it facilitated the efficient transmission and display of still images, such as stock quotes and weather maps, over dial-up modems operating at speeds of 300 to 2,400 bits per second. Developed by engineer at the behest of executive Alexander Trevor, the GIF87a specification addressed the fragmentation of proprietary image formats across platforms like Apple, Commodore, and computers by employing LZW compression to reduce file sizes while preserving crisp, indexed-color visuals limited to 256 colors. CompuServe promoted widespread use by distributing free conversion utilities compatible with numerous systems, enabling users to upload and share graphics seamlessly within its forums and information services. Technical evolution occurred with the introduction of the GIF89a specification in 1989, which extended the format's capabilities beyond static images to include transparency via a designated and basic through sequenced frames with configurable delays and looping. These additions allowed for rudimentary , such as the earliest known animated GIF—a looping —while maintaining with GIF87a files and the core LZW compression algorithm. The enhancements stemmed from user demand for more dynamic content in online environments, though adoption remained confined largely to CompuServe subscribers until broader expanded. GIF's proliferation accelerated in the early 1990s alongside the , with the first online color image—a static GIF—appearing in 1991, predating widespread browser support. Graphical browsers like NCSA Mosaic in 1993 and , which implemented infinite looping for animations, embedded GIFs into web culture as a staple for icons, logos, charts, and decorative elements on nascent sites like GeoCities-hosted pages. By the mid-1990s, animated GIFs had evolved into common web fixtures, including "under construction" bulldozers and simple looping visuals, leveraging the format's and cross-platform rendering to compensate for bandwidth constraints in an era before alternatives like dominated photographic imagery.

Patent Expiration and Post-2000s Persistence

The LZW patent (U.S. Patent No. 4,558,302), which underpinned the compression mechanism essential to the GIF format, expired in the United States on June 20, 2003, after a 20-year term from its 1983 filing date. Counterpart patents in expired on June 18, 2004, while those in and Canada followed on June 20 and later in 2004, respectively, eliminating royalty obligations worldwide. This expiration resolved a long-standing controversy that had begun in the mid-1990s, when enforced licensing fees on GIF encoders and decoders, prompting a partial by developers and the creation of the patent-free format in 1996 as a superior static-image alternative with and support for over 256 colors. Post-expiration, GIF usage surged without legal barriers, but its persistence into the and beyond stemmed from entrenched network effects rather than technical superiority. By 2003, billions of GIFs populated the web, with universal browser support ensuring seamless playback across platforms, whereas PNG's animated extensions (like ) lacked comparable adoption due to inconsistent implementation in early browsers such as . Developers and users favored GIF's simplicity for short-looping animations—its native multi-frame structure and palette-based indexing enabled lightweight, loopable clips without the overhead of full video formats—despite inefficiencies like larger file sizes compared to emerging options like (introduced 2010). Cultural momentum further solidified GIF's role, particularly in and ecosystems post-2010, where its dithered, low-fidelity aesthetic became iconic for humor and virality on platforms like and (now X). Alternatives like video-based MP4 or offered better compression for longer sequences but required more processing power and lacked GIF's instant, embeddable familiarity, leading to sustained prevalence even as static images shifted toward . Empirical data from the era shows GIFs comprising a significant portion of animated content, with migration to successors hindered by compatibility demands in legacy systems and content archives. This inertia reflects causal dynamics of format lock-in: early ubiquity created self-reinforcing adoption, outweighing post-patent innovations until broader support matured in the 2020s.

Technical Specifications

File Format Structure

The GIF file format is organized as a logical data stream comprising a fixed header, descriptors, optional color tables, a sequence of variable-length sub-blocks containing image or extension data, and a terminating trailer byte. The header is always 6 bytes long, consisting of a 3-byte "GIF" followed by a 3-byte version identifier, either "87a" for the specification or "89a" for the extension supporting features like transparency and control. Immediately following the header is the 7-byte Logical Screen Descriptor, which defines the overall canvas dimensions (width and height as 16-bit little-endian integers, up to 65,536 pixels each), a packed field byte indicating the presence and size of a Global Color Table (typically up to 256 entries), and a background color index plus pixel aspect ratio. If the Global Color Table flag is set, it follows as a variable-length block of 3-byte RGB entries (up to 768 bytes for 256 colors), providing a default palette for images lacking local tables. The core content then consists of zero or more sub-blocks, each beginning with a 1-byte block type identifier: an Image Separator (0x2C) for graphic blocks or an Extension Introducer (0x21) for extensions like Graphic Control (for disposal methods and delays), Application (vendor-specific data), Comment, or Plain Text. Graphic blocks under the Separator include a 10-byte Image Descriptor specifying left/top offsets, image dimensions, and local color table flags; an optional Local Color Table mirroring the global format; and LZW-compressed raster data divided into variable-length sub-blocks (1-255 bytes each, prefixed by length bytes and terminated by a 0x00 block terminator). Extension sub-blocks follow a similar self-describing with bytes to specific handlers, allowing extensibility without breaking compatibility. The stream concludes with a single-byte Trailer (0x3B), signaling and ignoring any trailing data. This block-based design enables decoders to parse incrementally, skipping unsupported extensions via their length prefixes.

Color Palettes and Limitations

The Graphics Interchange Format (GIF) utilizes an indexed color model, in which each pixel value represents an index into a color table—a lookup array of RGB color definitions—rather than direct color values. This approach supports bit depths from 1 to 8 bits per pixel, enabling color table sizes of 2, 4, 8, 16, 32, 64, 128, or 256 entries, with the maximum determined by a 3-bit field in the Logical Screen Descriptor for global tables or Image Descriptor for local tables. Each color table entry consists of three 8-bit values specifying red, green, and blue intensities, drawn from the 24-bit RGB color space. A GIF file may include a single optional global color table that applies to all subsequent images lacking their own table, promoting efficiency in multi-image files such as animations. Individual images or frames can override this with a local color table, which supersedes the global one for that specific raster data block. Pixel indices must fall within the active table's range (0 to size-1), and decoders render undefined indices at their discretion, typically defaulting to index 0. The restriction to 256 colors per table inherently limits GIF's suitability for images requiring high color fidelity, such as photographs with gradients or millions of hues, as exceeding this forces quantization—mapping original colors to the nearest palette match—which can produce visible banding, , or loss of detail. In animated GIFs, palette changes between frames enable some flexibility but often result in color discontinuities or flickering if frames share insufficient common colors, necessitating optimization techniques like palette sharing or sub-palette redefinition. During the early web era, when many displays operated in 8-bit mode with reserved system colors, designers adopted a 216-color "web-safe" subset of the full 256 to minimize dithering and ensure cross-platform consistency, as the remaining slots varied between operating systems like Windows and Macintosh. This practice, while obsolete with modern 24-bit+ displays, underscores GIF's origins in constrained hardware environments and its trade-offs for compression and universality over photographic realism.

LZW Compression Mechanism

The Lempel–Ziv–Welch (LZW) algorithm, developed by Abraham Lempel, , and Terry Welch in 1984, is a dictionary-based lossless data compression technique that replaces repeated sequences of data with shorter codes. In the GIF format, LZW compresses the raster data by building a dynamic code table during encoding, initially populated with 256 entries corresponding to single-byte indices (0–255), and extending it with multi-byte strings as patterns repeat. This approach exploits spatial redundancy in images, where adjacent pixels often share values, achieving typical compression ratios of 2:1 to 3:1 for graphical content without loss of information. During compression, processes the input byte sequentially: it identifies the longest prefix matching an entry in the table, outputs the corresponding variable-length code, and appends a new entry to the table consisting of that prefix plus the next input byte. lengths start at a minimum size specified in the GIF descriptor (typically 2–8 bits per , up to 12 bits maximum) and increase incrementally as the table fills (e.g., from 9 to 12 bits after 512, , and 2048 entries). A special Clear (one less than the minimum size, e.g., 256 for 8-bit starts) resets the table to its initial state when the table nears capacity, preventing overflow and restarting compression for subsequent blocks; an End of Information (Clear + 1) signals the end of the . These modifications distinguish GIF's LZW variant from the standard , ensuring adaptability to block-based . Decompression mirrors the process symmetrically: the decoder initializes an identical table and reconstructs the output by interpreting incoming codes as table entries, using the previous output string plus the first byte of the current entry to form and add new table strings proactively. Upon receiving a Clear code, it resets the table; undefined codes trigger output of the prefix string alone, maintaining synchronization without transmitting the dictionary explicitly. This self-synchronizing property enables efficient, error-resilient decoding, though GIF's implementation processes data in fixed-size blocks (up to 255 bytes plus a block count byte), with LZW codes spanning blocks as needed. LZW's efficacy in GIF stems from its ability to adapt to local image statistics, performing well on low-color, repetitive like icons or , but less so on high-detail photographs due to limited palette reduction prior to compression. The algorithm's computational simplicity—requiring only table lookups and updates—facilitated its adoption in resource-constrained systems, though it demands memory for the growing table (up to ~4 KB for 12-bit codes). Empirical tests on raster data confirm LZW's superiority over for non-uniform repetitions, justifying its specification in GIF 87a (1987) and retention in GIF 89a (1989).

Animation Capabilities

The GIF89a specification, published in 1989, enabled animation by allowing multiple image blocks within a single data stream, each representing a sequential frame displayed after a programmable delay. This structure supports an unlimited number of frames, though practical limits arise from file size constraints due to LZW compression and 8-bit color depth. Preceding each image block, the optional Graphic Control Extension defines key rendering controls, including a 16-bit delay time interpreted as hundredths of a second (ranging from 0 to 65,535, where 0 typically defaults to 1/10 second in implementations). It also specifies disposal methods for handling prior frames: method 0 leaves disposal unspecified (implementation-dependent), method 1 retains the frame unchanged, method 2 restores the area to the background color, and method 3 restores to the previous frame's state, enabling efficient incremental updates by rendering only changed pixels. Image frames may occupy a of the logical screen, with left and top offsets allowing partial updates to minimize redundant data encoding. Each frame supports its own color table, up to 256 entries, which can differ from the global palette, though rapid palette shifts between frames may cause visual flickering in animations. The original GIF89a lacks native looping; repetition relies on a proprietary 2.0 Application Extension block, introduced around 1995, which specifies a 16-bit loop count (0 for infinite playback). This extension, labeled "NETSCAPE2.0," precedes the sequence and is now universally supported in modern viewers, ensuring seamless cycling of short animations like icons or simple loops. Transparency per frame, flagged in the Graphic Control Extension, designates a single color index as invisible, facilitating overlays and smoother transitions without full background repaints. While effective for basic motion and effects, GIF animation's frame-by-frame nature and color limitations preclude high-fidelity video, positioning it as suitable for lightweight, palette-optimized sequences rather than complex rendering.

Advanced Features

The GIF89a specification introduced Extension Blocks, which precede image or trailer blocks and enable enhanced rendering control, including per-frame adjustments not available in the GIF87a version. These blocks begin with an Extension Introducer (0x21) followed by a label byte identifying the type, such as Graphic Control (0xF9), Application (0xFF), Comment (0xFE), or (0x01). The Graphic Control Extension (GCE), a six-byte block typically preceding each , specifies behavior through a packed field byte: bits 4-2 define disposal methods (00: unspecified, decoder choice; 01: no disposal, retain pixels; 10: restore to background color; 11: restore to previous frame state), bit 1 flags user input pauses, and bit 0 enables transparency by designating a transparent color index. A two-byte delay time follows (in hundredths of a second, default 0.1 seconds if zero), allowing precise frame timing, while the final byte holds the transparent index (ignored if flag unset). These features facilitate complex animations by controlling how frames composite, reducing artifacts like flickering. Interlacing, flagged in the Image Descriptor (bit 8 of packed field), supports progressive display by rearranging scanlines into four passes: pass 1 (rows 0, 8, 16, ...), pass 2 (rows 4, 12, 20, ...), pass 3 (rows 2, 10, 18, ...), and pass 4 (all remaining rows starting from 1). This enables partial images to appear recognizable during slow downloads, though it increases file size by about 10-20% compared to non-interlaced equivalents. Application Extensions accommodate vendor-specific data via an 11-byte identifier (eight-character application ID plus three-byte authentication code) followed by sub-blocks; a common non-standard use is the "NETSCAPE2.0" extension with a three-byte sub-block (loop count: 0x0001 for infinite, or iterations in little-endian). Comment Extensions embed arbitrary 7-bit ASCII metadata in sub-blocks, aiding debugging or documentation without affecting rendering. The Plain Text Extension, though defined, renders fixed-pitch text as bitmapped graphics via grid parameters (left/top position, character grid size, cell dimensions, foreground/background indices) but is obsolete and seldom supported in modern decoders. Local Color Tables, flagged per image, override the global palette with up to 256 entries (3 × 2^(size+1) bytes), enabling frame-specific colors for optimized animations.

Usage and Cultural Role

Technical Applications

The GIF format finds technical applications in for creating lightweight animated elements, such as loading indicators, interactive buttons, and product demonstrations, leveraging its broad browser compatibility and small file sizes for low-bandwidth environments. In programming, uncompressed GIF serves as an intermediate format due to its straightforward accessibility, enabling developers to read or manipulate individual pixels without decoding complexities. In embedded systems, GIF decoding supports resource-constrained devices like s for rendering simple animations in user interfaces, with libraries optimized for low memory usage—typically under 10 KB RAM—to handle palette-based s without full-frame buffering. For instance, the LPC55S69 employs GIF decoders to display animated on displays with limited processing power. utilizes animated GIFs to illustrate procedural steps, before-and-after comparisons, and causal relationships in , offering sequential visual explanations without requiring video playback infrastructure. In scientific contexts, GIFs animate data, such as mode shapes from structural tests, by sequencing frames derived from or experimental footage, as demonstrated in applications combining modal test data with high-speed video. These uses persist despite inefficiencies, due to GIF's for indexed-color and interoperability across platforms.

Social and Meme Culture Integration

Animated GIFs gained prominence in internet meme culture through their use as reaction images, conveying emotions, sarcasm, and non-verbal cues that text or static images often fail to capture effectively. One of the earliest viral examples was the "Dancing Baby" GIF, a 3D-rendered animation of a diapered infant performing a cha-cha dance, which spread rapidly in 1996 via email chains and early websites, marking it as among the first widespread internet memes. This looping format's brevity and repeatability facilitated quick sharing on bandwidth-limited connections, embedding GIFs in early online humor and visual storytelling. The resurgence of GIFs in accelerated in the late 2000s, particularly on , launched in , where users employed them in discussions, GIF sets, and reaction sequences to express complex sentiments like or irony through repeated viewing and remixing. Reaction GIFs, evolving from emoticons and early forum practices on sites like , proliferated around with dedicated databases, exemplified by the 2007 "Leave Britney Alone" clip of Chris Crocker, which became a staple for exasperated defense or mockery. Platforms like further amplified this by popularizing short, looped clips for real-time emotional punctuation in conversations, outpacing text-based memes by the mid-2010s. Giphy's founding in 2013 as a searchable GIF repository significantly boosted accessibility, serving 25 billion GIF views and attracting 100 million monthly visitors by , integrating memes into mainstream messaging apps and social feeds. This democratization enabled viral proliferation of examples like the "popcorn.gif" from footage, used ubiquitously for since the early 2000s, and reinforced GIFs' role in evolution by prioritizing emotional shorthand over verbose explanation. Despite critiques of repetition fostering superficiality, empirical usage data shows GIFs enduring as a core element of digital vernacular, with their fixed loop length—typically 2-5 seconds—causally enabling instant recognition and shareability in fast-paced online discourse.

Modern Web and Media Deployment

The Graphics Interchange Format (GIF) is embedded in modern web pages using the HTML <img> element, which natively renders both static and animated GIFs without requiring plugins or additional scripting in all major browsers, including Chrome, Firefox, Safari, and Edge. This universal support stems from GIF's longstanding integration into web standards since the 1990s, ensuring compatibility across devices and ensuring seamless deployment for simple animations. In web deployment, GIFs are commonly served via content delivery networks (CDNs) or directly from servers, often optimized for size using tools that reduce frame counts, color palettes, or apply compression techniques while preserving LZW encoding. Platforms like facilitate integration through APIs, allowing developers to embed searchable GIF libraries into sites, which has sustained their prevalence in and social features. As of , GIFs continue to represent a significant share of animated image formats on websites, though they are increasingly supplemented by more efficient alternatives due to file size inefficiencies. Social media and digital media platforms heavily deploy GIFs for expressive communication, with services reporting over 500 million GIFs shared daily by hundreds of millions of users, enhancing in posts, reactions, and stories. In and campaigns, animated GIFs are inserted via for dynamic visuals, but their autoplay behavior and larger payloads can degrade performance on mobile devices, prompting selective use or conversion to video formats. Despite these drawbacks, GIF's simplicity and cross-platform reliability maintain its role in micro-interactions, such as loading spinners or hover effects, where full video decoding would be overkill. Deployment best practices emphasize minimization of GIF dimensions and loops to mitigate bandwidth costs, as uncompressed or high-frame-rate GIFs can exceed several megabytes, impacting page load times on slower connections. Modern frameworks like React or handle GIF rendering efficiently through standard image props, but developers often pair them with attributes (loading="lazy") to defer off-screen animations until needed. In media contexts, such as news sites or blogs, GIFs serve as lightweight alternatives to embedded videos for short clips, though browser vendors encourage migration to formats like animated or for superior compression without sacrificing animation fidelity.

Creating Custom GIFs

Custom animated GIFs can be created using accessible online tools and professional software that require no complex installations for browser-based options. These methods remain compatible with mainstream browsers and software versions as of the mid-2020s. Free online tools are particularly effective for creating animated GIFs or short MP4 videos from comic book style images, such as sequencing panels with delays and transitions to simulate reading flow, page flips, or simple animation effects. EZGIF is a free online tool for creating GIFs from images (or videos via a separate converter). It is well-suited for comic panels: users upload images in reading order, set frame delays (e.g., 500ms for slower transitions), add effects if needed, and produce high-quality GIFs without registration or watermarks. The process includes:
  1. Visiting https://ezgif.com/maker
  2. Uploading multiple images or video files
  3. Adjusting frame order, delay time (in hundredths of a second), dimensions, cropping, and adding text or effects
  4. Clicking “Make a GIF!” to generate and download the result
GIPHY GIF Maker supports creation from videos or images:
  1. Accessing https://giphy.com/create/gifmaker
  2. Uploading a video or images
  3. Editing frames, adding subtitles or stickers, and adjusting speed
  4. Saving or sharing the GIF
Adobe Photoshop provides professional GIF creation:
  1. Importing images as layers
  2. Opening the Timeline panel and converting to frame animation
  3. Setting per-frame durations and loop options
  4. Exporting via File > Export > Export As > GIF
Other popular tools include Kapwing , which enables uploading images, arranging on a timeline, customizing durations, transitions, text, and exporting as GIF or MP4 for short videos; it is free for basic use with no watermarks on exports. Canva GIF Maker offers drag-and-drop sequencing of images, addition of animations and transitions, and GIF export on the free tier. These tools are effective for comic panels by allowing uploads in reading order and timing adjustments for smooth transitions. Imgflip provides another simple option. For more advanced animation of comic or manga images, KomikoAI applies AI to add realistic motion to static panels and generate animated videos, though the free tier has limitations. These approaches enable easy creation of GIFs for web, social media, and personal use.

Controversies and Criticisms

Unisys LZW Patent Enforcement

The Lempel–Ziv–Welch (LZW) algorithm employed for in the GIF format was protected by U.S. 4,558,302, granted to Corporation on December 10, 1985, with an effective filing date of June 20, 1983, and set to expire 20 years later on June 20, 2003. , which developed and released the GIF specification in 1987, incorporated LZW without initial knowledge of the patent and proceeded after inquiring with Unisys, which did not demand royalties at the time. Enforcement actions commenced in late 1994 when notified software developers using LZW in commercial products, including GIF encoders and decoders, of the need for licensing fees to avoid infringement claims. In January 1995, announced a settlement agreement with , under which it would promote royalty payments from GIF developers distributing via its services: a one-time $1.00 licensing fee per developer, plus royalties of 1.5 percent of revenue or $0.15 per registered copy, whichever was greater. This arrangement applied primarily to vendors, exempting non-commercial and certain open-source uses initially, but it provoked widespread backlash among developers and online communities concerned over retroactive fees and the precedent for patenting widely adopted algorithms. The controversy intensified in 1999 when extended demands to website operators hosting GIF images, asserting that server-side processing or distribution constituted infringement, prompting some sites to remove GIF content preemptively. This phase of enforcement, coupled with earlier disputes, accelerated the creation of patent-free alternatives like the format in 1995–1996, which used compression instead of LZW to achieve similar lossless capabilities without licensing obligations. collected royalties from numerous licensees during the patent's term but faced criticism for what some viewed as opportunistic assertions after years of tacit non-enforcement, though the company maintained its actions were standard protection. The U.S. patent expired on June 20, 2003, rendering LZW freely usable thereafter domestically, with international counterparts lapsing in on June 18, 2004, in on June 20, 2004, and in on July 7, 2004. Post-expiration, no further enforcement occurred, allowing unrestricted GIF implementation and contributing to the format's continued prevalence despite the prior disputes.

Debates on Technical Inefficiencies

The Graphics Interchange Format (GIF) has faced ongoing scrutiny for its technical limitations, particularly in handling animations, where file sizes often exceed those of equivalent video formats by factors of 5 to 20 times due to the absence of inter-frame compression techniques such as or . Unlike modern codecs like H.264 or , which exploit temporal redundancies between to minimize data, GIF compresses each frame independently using LZW , resulting in bloated outputs unsuitable for longer sequences or bandwidth-constrained environments. This inefficiency manifests in degradation, as large GIFs increase load times and memory usage—animated GIFs can consume up to 360 MB of RAM on certain platforms for rendering, far outpacing optimized video alternatives. Critics, including web developers and performance analysts, argue that GIF's design, rooted in 1987 hardware constraints, fails to scale with contemporary demands, advocating for migration to formats like or MP4 that achieve superior compression ratios without sacrificing loopable playback. For instance, a short looping clip encoded as GIF may require manual frame optimization to reduce colors and frames, yet still lags behind video codecs that automatically leverage predictive encoding. Proponents counter that GIF's inefficiencies are offset by its universal browser support and simplicity—no dedicated player or decoding latency is needed, enabling instant rendering on legacy systems where video formats falter. This tension fuels debates in standards bodies and developer communities, with noting GIF's poorer performance relative to or , yet its persistence stems from entrenched cultural use rather than technical merit. Further contention arises over GIF's static color palette restriction to 256 colors per frame, which necessitates dithering for complex images and indirectly inflates file sizes through suboptimal LZW buildup, though this is less debated than flaws given GIF's original intent for simple . Empirical tests show that converting GIF s to can yield 30-50% size reductions while preserving visual fidelity, underscoring the format's obsolescence in efficiency-focused applications. Despite these critiques, no consensus has emerged to phase out GIF, as its inefficiencies are tolerated for niche, low-stakes deployments like memes, where file bloat is secondary to immediate .

Alternatives and Legacy

Superior Still-Image Formats

The Graphics Interchange Format (GIF), while versatile for animation, exhibits limitations for static images due to its restriction to an palette of 256 colors, which necessitates dithering for gradients and continuous-tone visuals, often resulting in visible artifacts and suboptimal quality. Its LZW compression, though lossless, proves inefficient for non-indexed or high-detail content, yielding larger files compared to alternatives optimized for still imagery. The Portable Network Graphics (PNG) format, ratified as an ISO standard in , addresses these shortcomings through DEFLATE-based , enabling support for 24-bit truecolor, 48-bit , and full alpha-channel transparency without palette constraints. This yields sharper edges, accurate color reproduction, and elimination of dithering artifacts in graphics, logos, and diagrams, with PNG files compressing 5–25% more efficiently than equivalent GIFs for indexed-color images and outperforming in truecolor scenarios. PNG also incorporates adaptive filtering and progressive interlacing, enhancing rendering speed and partial display during loading. For photographic or complex continuous-tone stills, the (JPEG) format excels with discrete cosine transform-based , tailored for human visual perception, routinely achieving file sizes 2–5 times smaller than GIF at visually indistinguishable quality levels for most applications. Introduced in 1992, JPEG supports 24-bit and subsampling of chroma channels, prioritizing detail, though it lacks native transparency and can introduce blocking artifacts at high compression ratios. Modern formats like , released by in 2010, further surpass GIF by integrating VP8-derived compression for both lossless and lossy modes, delivering 25–35% reductions in file size over or while preserving transparency and achieving higher perceptual quality through advanced and . 's lossless variant directly improves on GIF's palette limitations with full-color support and intra-frame , making it ideal for web deployment where bandwidth efficiency is critical. These alternatives collectively render GIF obsolete for static use cases, prioritizing fidelity, compression efficacy, and feature completeness.

Advanced Animation Options

The Graphic Control Extension (GCE) in the GIF89a format enables advanced control over individual frames in an animation sequence, including a delay time specified in hundredths of a second (ranging from 0 to 65,535, where 0 often defaults to 10/100th of a second in decoders), a disposal method to dictate how the display software handles the previous frame after rendering the current one, a user input flag for pausing animation until user interaction, and an optional transparent color index for per-frame transparency. These features allow for precise timing and compositing, such as creating overlays or incremental updates without redrawing unchanged areas, though GIF's LZW compression applies to each full frame unless optimized externally. Disposal methods provide four options for frame compositing: method 0 (undefined, typically treated as leaving the frame in place by decoders), method 1 (do not dispose, retaining the frame's pixels for subsequent overlays), method 2 (restore to background, clearing the frame to the screen background color after display), and method 3 (restore to previous, reverting to the state before the frame was drawn). Method 2 and 3 are particularly useful for bandwidth-efficient animations, as they permit encoders to store only changed pixels in subsequent frames, reducing redundancy when combined with tools that generate differential images, though this requires decoder support for accurate rendering. Animation looping is controlled via non-standard Application Extensions, most notably the NETSCAPE2.0 block introduced by Netscape in the mid-1990s, which specifies a loop count (0 for infinite repetition, or a positive integer for finite plays) by setting two bytes after the identifier: the first as 1 (for looping sub-block) and the second as the iteration count. This extension, while not part of the core GIF89a specification, is universally supported in modern browsers and viewers due to its early adoption, enabling seamless repetition without restarting from the first frame. Advanced optimization leverages these mechanisms by minimizing frame data through local color tables (up to 256 colors per frame, differing from the global palette to adapt to content changes), selective transparency to simulate layers, and external preprocessing to enforce disposal-based differencing, potentially reducing file sizes by encoding only deltas rather than full frames—though GIF's per-frame compression limits inherent efficiency compared to video codecs. Such techniques demand careful authoring, as inconsistent disposal or palette shifts can cause artifacts like flickering in under-compliant decoders.

Enduring Influence Despite Obsolescence

Despite the advent of more efficient formats such as and , which offer superior compression for animations with smaller file sizes and broader color support, the GIF format retains significant usage on the web, appearing on 16.3% of websites as of October 2025. This persistence stems from GIF's near-universal compatibility across browsers, devices, and platforms, ensuring seamless playback without additional plugins or encoding complexities. GIF's cultural entrenchment in digital communication further bolsters its influence, serving as a concise medium for expressing emotions, humor, and reactions in , messaging apps, and forums. Platforms like , X (formerly Twitter), and have integrated GIFs into their ecosystems, fostering vast repositories such as that host billions of user-generated loops, many derived from , and memes. This role as visual shorthand persists because GIFs convey nuanced intent—such as or excitement—in ways static images or text alone cannot, even as video alternatives proliferate. In artistic and expressive domains, GIFs continue to evolve, with exhibitions and pop-up galleries in highlighting their status as a form of that thrives amid technological shifts. Their simplicity enables quick creation and sharing, maintaining relevance in informal contexts like internal workplace communications and previews, where brevity outweighs optimization. Although technically obsolete for high-fidelity needs, GIF's legacy as the first widely adopted animated web format—introduced in 1987—ensures its role in preserving early and .

References

  1. https://wiki.whatwg.org/wiki/GIF
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