Download and install the latest version of Filestar.
Right click on one or more Ch file(s) on your desktop and select Convert with Filestar.
Type convert to jxr in the search box.
Press Convert.
Or let an AI agent do it: filestarcli -i photo.ch -c "convert to jxr" (how).
Documents - File Explorer─☐✕
This PC › Documents
Home
Desktop
Downloads
Documents
Pictures
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.chContract.ch
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
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Let your AI agent convert CH to JXR
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 CH files in my Downloads folder to JXR”
Or run it yourself:
filestarcli -i photo.ch -c "convert to jxr"
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 CH to JXR?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i photo.ch -c "convert to jxr" on your computer, so your files stay on it.
The CH file format, associated with SciTex Continuous Tone images, is a specialized file type used primarily within the professional printing and graphic design industries. It is designed to store high-resolution, continuous-tone images that are ideal for high-quality print production, ensuring accurate color representation and detail. CH files support a wide color gamut and precise pixel control, making them suitable for complex graphics and photographic images. This format is typically used in workflows that require the highest image fidelity for print media, such as magazines, brochures, and packaging.
Image stored in the JPEG XR format, which was originally developed by Microsoft for Windows Media software; supports deep color images with 48-bit RGB; used for high-resolution professional image editing; also supports lossless and lossy compression.
