Download and install the latest version of Filestar.
Right click on one or more Vda 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.vda -c "convert to miff" (how).
Documents - File Explorer─☐✕
This PC › Documents
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Desktop
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.vdaContract.vda
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
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Let your AI agent convert VDA 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 VDA files in my Downloads folder to MIFF”
Or run it yourself:
filestarcli -i photo.vda -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 VDA to MIFF?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i photo.vda -c "convert to miff" on your computer, so your files stay on it.
The VDA file format, short for Targa Bitmap Image File, is a variant of the TGA file format (Truevision Advanced Raster Graphics Adapter) used for storing digital images. Developed by Truevision Inc., VDA files are raster graphics files that support various color depths, ranging from 1 to 32 bits per pixel, which includes support for alpha channels and compression. This format is designed to be highly flexible and is capable of storing high-quality images used in video editing and animations.
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.