Download and install the latest version of Filestar.
Right click on one or more Cals file(s) on your desktop and select Convert with Filestar.
Type convert to miff in the search box.
Press Convert.
Or let an AI agent do it: filestarcli -i photo.cals -c "convert to miff" (how).
Documents - File Explorer─☐✕
This PC › Documents
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Desktop
Downloads
Documents
Pictures
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.calsContract.cals
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
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Let your AI agent convert CALS to MIFF
Claude Code, Codex, Cursor and other agents can do this on your computer with Filestar. Your files stay on your machine.
Install Filestar and add it to your agents:
npm install -g filestar
filestarcli agent install
Then ask your agent:
“Convert the CALS files in my Downloads folder to MIFF”
Or run it yourself:
filestarcli -i photo.cals -c "convert to miff"
Runs on your computer, so your files stay on it. Works on Windows, macOS and Linux. 50 free conversions with the npm install, no account needed.
Can my AI agent convert CALS to MIFF?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i photo.cals -c "convert to miff" on your computer, so your files stay on it.
The CALS Raster Graphic File, having the extension .cals, is a type of image file format primarily used for the storage and exchange of digital images, especially in the context of technical and engineering documents. Developed in the mid-1980s by the United States Department of Defense, the CALS format was part of an initiative to standardize electronic document management and interchange, particularly for military and government applications.
The MIFF (Magick Image File Format) is a versatile image format used primarily by ImageMagick, a software suite for creating, editing, converting, and displaying bitmap images. It is designed to store bitmap images with a high degree of flexibility, supporting various depths and color spaces, including transparency and multiple layers. MIFF files are often used for temporary storage during image processing tasks, as they can efficiently preserve the full quality and attributes of images.
