Download and install the latest version of Filestar.
Right click on one or more Mhtml 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.mhtml -c "convert to viff" (how).
Documents - File Explorer─☐✕
This PC › Documents
Home
Desktop
Downloads
Documents
Pictures
Music
.mhtmlContract.mhtml
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
ConvertMergeCompressExtractMoveZip
Let your AI agent convert MHTML 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 MHTML files in my Downloads folder to VIFF”
Or run it yourself:
filestarcli -i file.mhtml -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 MHTML to VIFF?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i file.mhtml -c "convert to viff" on your computer, so your files stay on it.
MHTML, short for MIME HTML, is a file format that archives web pages. The format combines HTML code, images, JavaScript, and other resources into a single file using MIME type multipart/related. This method of encapsulating a complete webpage (or set of webpages) in a single file makes MHTML files convenient for saving, sharing, and viewing web content offline. MHTML files typically have the extension .mhtml or .mht and can be opened by various web browsers.
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.
