About MIFF Files
ImageMagick MIFF
MIFF (Magick Image File Format) is the native format of ImageMagick, supporting all of its internal features including multiple image layers, color profiles, and arbitrary metadata. It serves as a lossless interchange format within ImageMagick processing chains.
Family
Raster & Vector Images
Extension
.miff
MIME Type
image/x-miff
Can Use As
HOW MIFF
CAME TO BE.
MIFF — Magick Image File Format — is ImageMagick’s native format, designed by John Cristy in 1990 when he started the project at DuPont. ImageMagick commands use MIFF as a streaming intermediate between operations: when you chain `convert input.jpg -resize 50% -sharpen output.png`, ImageMagick internally serializes to MIFF between stages.
MIFF can carry any bit depth, color profile, and metadata ImageMagick understands — a lossless intermediate that preserves every pixel in its internal representation. Users rarely save MIFF as a deliverable, but scientific imaging pipelines that need ImageMagick’s full feature fidelity use MIFF as archive format.
CURIOSITIES &
TRIVIA.
MIFF is ImageMagick's native internal format — every multi-step `convert` pipeline serializes to MIFF between stages.
John Cristy started ImageMagick at DuPont in 1987 — MIFF came with the project's 1990 public release.
Scientific imaging workflows use MIFF to preserve ImageMagick's full fidelity (32-bit float channels, arbitrary metadata).
ImageMagick's `identify` tool uses MIFF as its interchange format between commands.
MIFF is the only image format Cristy calls "first among equals" in ImageMagick's supported formats list.
STRENGTHS &
LIMITATIONS.
Strengths
- Preserves ImageMagick's full fidelity.
- Arbitrary bit depth + color profile.
- Streaming pipeline intermediate.
Limitations
- ImageMagick-only.
- Not a delivery format.
- Large files.
Typical Sizes & Weights
1920×1080 8-bit MIFF
~6 MB
1920×1080 32-bit float
~25 MB
Technical Specifications
- MIME type
- image/x-miff
- Extension
- .miff
- Native tool
- ImageMagick
- Bit depths
- Any (ImageMagick-supported)
CONVERT FROM
MIFF
Common Use Cases
ImageMagick batch processing, intermediate image storage, scripted image pipelines
Related Formats
Popular comparisons
MIFF vs JPG
Differences, file size, and when to choose each format.
MIFF vs PNG
Differences, file size, and when to choose each format.
MIFF vs WEBP
Differences, file size, and when to choose each format.
MIFF vs AVIF
Differences, file size, and when to choose each format.
MIFF vs GIF
Differences, file size, and when to choose each format.
MIFF vs BMP
Differences, file size, and when to choose each format.
Popular MIFF conversions
The most-requested destinations when starting from MIFF.
Frequently Asked Questions about MIFF
Frequently Asked Questions
MIFF (ImageMagick MIFF) is an image format used to store raster graphics — a two-dimensional grid of pixels describing a picture. It is part of the raster & vector images family and designed around a specific trade-off between file size, visual fidelity, and feature support (transparency, colour depth, compression type). Photographers, web designers, and content creators choose MIFF when its particular strengths match the publishing target.
Most desktop photo viewers (Windows Photos, macOS Preview, GIMP, Photoshop, Affinity Photo) open MIFF natively. On mobile, iOS Photos and Google Photos display MIFF in the gallery when supported by the OS. If the format is rare or new, convert to JPG or PNG first — both are universally readable — using our MIFF to JPG or MIFF to PNG converter.
Upload the MIFF to KaijuConverter and pick a target format (JPG, PNG, WebP, HEIC, TIFF, BMP, SVG, PDF). The conversion runs in the browser via ImageMagick and returns a download in seconds. No account or installation required; both input and output delete automatically within two hours.
It depends on the task. JPG is the smallest file size for photographs; PNG is lossless with transparency; MIFF has its own niche that may favour colour depth, animation, or encoding efficiency over one or both of those. For the final web publish, test all three and measure file size plus visible quality on real content.