Download and install the latest version of Filestar.
Right click on one or more Art file(s) on your desktop and select Convert with Filestar.
Type convert to viff in the search box.
Press Convert.
Or let an AI agent do it: filestarcli -i photo.art -c "convert to viff" (how).
Documents - File Explorer─☐✕
This PC › Documents
Home
Desktop
Downloads
Documents
Pictures
Music
.artContract.art
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
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Let your AI agent convert ART to VIFF
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 ART files in my Downloads folder to VIFF”
Or run it yourself:
filestarcli -i photo.art -c "convert to viff"
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 ART to VIFF?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i photo.art -c "convert to viff" on your computer, so your files stay on it.
PFS Art Publisher Image (ART) is a raster graphics file format used for storing digital images. It was developed by Progressive Networks for use in their Progressive FreeStyle Art Publisher software. ART files are compressed using the run-length encoding (RLE) algorithm, which allows them to store large images in a relatively small file size. The ART format supports up to 24-bit color and is often used for storing digital photos and other images.
The Visualization Image File Format (VIFF) is a specialized file format designed for storing image data. It is primarily used in scientific and technical applications where complex visualization of multi-dimensional data is required. VIFF files can store various types of data including grayscale, color, and multi-spectral images, making them suitable for tasks such as image processing, medical imaging, and remote sensing. This format supports a range of metadata, allowing for the inclusion of information about the image data, such as dimensions and color.
