BMP to GIF Crop Converter
Load a BMP, drag the crop handles to define exactly the area you need, preview the result, then download a GIF. Everything runs in your browser — your image never leaves your device.
Drop a BMP here
or Browse Files · BMP supported
What This Tool Does
This tool loads a BMP image directly in your browser, presents an interactive crop overlay with draggable handles, and converts the selected area to a GIF file. No server upload is required. The full workflow — loading, cropping, and GIF encoding — runs entirely in client-side JavaScript using the HTML5 Canvas API. BMP files are loaded using URL.createObjectURL() combined with img.decode(), which guarantees the image is fully pixel-decoded before the canvas draws it. The output is a GIF89a file with an optimized 256-color palette produced by median-cut quantization, compatible with every browser, email client, and platform that supports GIF.
Who This Is For
- Web developers who need to extract a region of a BMP image and deliver it as a GIF for maximum compatibility
- Designers converting legacy BMP artwork for use in older CMS platforms or email templates that require GIF
- Anyone who needs to crop and convert a BMP to GIF without installing Photoshop or GIMP
- Developers testing or prototyping workflows that need a quick crop-and-convert pipeline entirely in the browser
BMP vs GIF: Format Comparison
| Property | BMP | GIF |
|---|---|---|
| Compression | Uncompressed (or RLE for 4/8-bit) | LZW lossless compression |
| Color depth | 1, 4, 8, 16, 24, or 32-bit | 8-bit (max 256 colors) |
| Transparency support | 1-bit AND mask (limited) | Single-color binary transparency |
| Animation support | No | Yes — multi-frame GIF |
| File size | Very large (uncompressed) | Much smaller (LZW compressed) |
| Browser / platform support | Limited (Windows-native) | Universal — all browsers and platforms |
| Best for | Windows apps, raw image storage | Web graphics, logos, icons, simple illustrations |
Frequently Asked Questions
URL.createObjectURL() to generate an object URL and then calling img.decode() ensures that the image is fully pixel-decoded before the canvas draws it. The decode() method returns a Promise that resolves only after the full decode is ready — guaranteed non-blank pixels every time.