Download and install the latest version of Filestar.
Right click on one or more Tod 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 file.tod -c "convert to viff" (how).
Documents - File Explorer─☐✕
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.todContract.tod
.xlsxBudget.xlsx
.pdfReport.pdf
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Filestar*Help✕
Drop files here to get started
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Let your AI agent convert TOD 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 TOD files in my Downloads folder to VIFF”
Or run it yourself:
filestarcli -i file.tod -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 TOD to VIFF?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i file.tod -c "convert to viff" on your computer, so your files stay on it.
The TOD file type is associated with video footage captured using JVC Everio camcorders. These files contain high-definition video data recorded by the camcorder. TOD files are typically stored in a proprietary format that is based on the MPEG-2 transport stream and are meant to be directly playable on a personal computer or capable devices. However, due to their unique format, users might need specific software or converters to view or edit TOD files on their devices.
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.
