Add Text to GIF is a browser-based editor that places one short, outlined caption on every visible frame of an animated GIF. The GIF you choose is decoded, captioned, and re-encoded inside your current browser tab — no upload, account, or app install is required, and the source file never leaves the device. You can type up to 80 characters of text and choose Top, Center, or Bottom as the position; the tool then draws the caption once on every visible frame and exports a new looping GIF you can download as a local file. The caption is white with a dark outline so it remains readable across ordinary backgrounds, and the output is a standard GIF file you can drop into chat apps, slide decks, web pages, or anywhere else that accepts the format. There is no watermark, no server-side editing step, no queue, and no claim of social-network compatibility — just one captioned GIF saved from the tab you're already using, with the original animation order and per-frame delays preserved so the playback looks the same as the source.
If you've been searching for an "add text to GIF app" because you want a quick caption without downloading software or signing up, this in-browser approach gives you exactly that workflow. Everything runs in your current tab, the source file and decoded frames never leave the device, and the only output is the new GIF you choose to save.
How to caption an animated GIF in your browser
The tool follows three explicit steps, each of which happens locally:
- Choose an animated GIF up to 20 MB from your device.
- Enter a short caption, then choose Top, Center, or Bottom for its position.
- Select Add text to GIF, review a full loop, and download the new captioned animation.
Each step is gated by an actual constraint. The 20 MB limit guards against compressed files that expand into large canvas work; the 80-character ceiling keeps the rendered text inside the logical canvas at the calculated font size; and the position control is a three-way toggle rather than free-form coordinates. The browser previews a full loop before you download, which is the only reliable way to check that transitions, transparency, and disposal behavior still look right after the caption is painted.
Why the caption is painted on every complete frame
Animated GIFs aren't a stack of independent pictures. A file can start with a full image and then carry only small changed rectangles for the next frame. It can also use transparency and disposal instructions that tell the next frame to retain the previous pixels, clear a rectangle, or restore an earlier canvas. If the editor drew text directly onto those raw rectangle patches, the output would show trails, lost backgrounds, or text floating over pixels that were never actually drawn — a classic artifact of partial-update GIFs.
The Add Text to GIF tool composes each GIF image block into the complete logical canvas that a viewer should see, then paints the outlined caption on that full frame. The composite frame is what gets sent to the new GIF encoder, so the caption sits on the same visible surface the animation actually shows. Browser-side text drawing uses standard canvas routines — fillText for the white fill and strokeText for the dark outline — so the caption is rasterized into the new frames rather than layered as a subtitle track.
Limits and safety checks for the GIF you upload
The tool protects the browser from files that would otherwise allocate enormous canvases or run for a very long time. The selected GIF can be at most 20 MB, its logical canvas must not exceed 4,096 pixels on either side or three million pixels in one frame, and the file can contain at most 50 image frames. The implementation also bounds the combined patch and output pixel budgets before any large canvas work is created. If the supplied GIF fails to decode, has an invalid signature, exceeds any of these bounds, or is otherwise unreadable, the tool stops with a clear error and leaves no partial result active for you to accidentally download.
| Limit | Maximum | Why it matters |
|---|---|---|
| Source file size | 20 MB | Caps how much compressed data the decoder has to expand |
| Canvas width or height | 4,096 px | Keeps the working canvas within typical browser limits |
| Pixels per frame | 3,000,000 | Prevents a single huge frame from blocking the tab |
| Image frames in the file | 50 | Bounds total decode and encode work |
| Caption length | 80 characters | Keeps the text readable at the calculated font size |
Replacing the file or changing the caption cancels any old work and removes the previous result so a stale download cannot be mistaken for the new settings.
What changes and what stays in the exported GIF
The output is deliberately a new GIF rather than an in-place byte edit. Adding text changes pixels in every frame, so the browser quantizes each complete captioned frame to a GIF palette (at most 256 colors per frame) and writes a continuously looping animation. Decoded visible frames and per-frame delays are retained, which is why the animation still plays at the same speed and in the same order. Original palette tables, comment blocks, application extensions, finite loop settings, and any byte-level optimization choices are not preserved.
A GIF that was originally optimized with tiny update rectangles can become larger after a full-frame re-encode, and the page reports the actual output size rather than promising a smaller file. That trade-off is intentional. Trying to preserve every byte of the original while still drawing text on every visible frame would mean inventing metadata the original file never had, which is a category of silent corruption the tool avoids. If you need a smaller file after captioning, a follow-up pass through a GIF file size reduction guide can trim the re-encoded output without changing the visible animation.
Quick checklist before you publish the captioned GIF
For a reliable workflow, keep the original GIF, select it in the editor, enter a short caption, choose the position, and download the result. Then watch at least one full loop in the browser or in the app where you plan to share it, and confirm a few specific things:
- The text remains readable at the intended display size. A very small source GIF may not have enough pixels for the calculated font size, in which case a wider original or a shorter caption will help.
- The chosen position does not cover an important subject. Centered captions can hide the focal point on tightly framed animations; top or bottom usually preserves the subject better.
- Transitions and transparency still look correct. Because the tool composites each frame, edges that rely on disposal instructions should match the source.
- Fine gradients and photographs can shift after palette conversion. GIF uses indexed color, so re-quantizing a frame can change subtle tones; if that bothers you, a flatter original GIF tends to survive the round-trip cleanly.
Browser color management, font rendering, and GIF decoding can differ slightly by platform, so inspecting the downloaded animation at its actual display size before publishing is always worth doing.
When this focused editor isn't the right fit
The tool is intentionally narrow. It draws one caption, on every visible frame, with a single readable style. The page does not offer multiple text layers, font selection, animation timing for the text, stickers, a background box, per-frame captions, or video-style subtitle tracks. It doesn't repair a damaged GIF, preserve audio, output MP4 or WebP, infer an ideal message, or guarantee social-network compatibility. It also doesn't permanently store any file — everything is recomputed from the original GIF each time the page is opened.
If you need any of those capabilities, the right move is to pair this tool with something more specialized: a layered image editor for multi-line typography, a video pipeline for subtitle tracks, a format converter for MP4 or WebP, or a dedicated GIF repair utility for files that won't decode. For the common case — a single short caption on an existing animated GIF, with the file staying on your device the entire time — the in-browser editor is the most direct path from source to download.