Download and install the latest version of Filestar.
Right click on one or more Bw file(s) on your desktop and select Convert with Filestar.
Type convert to tn2 in the search box.
Press Convert.
Or let an AI agent do it: filestarcli -i photo.bw -c "convert to tn2" (how).
Documents - File Explorer─☐✕
This PC › Documents
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Desktop
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.bwContract.bw
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
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Let your AI agent convert BW to TN2
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 BW files in my Downloads folder to TN2”
Or run it yourself:
filestarcli -i photo.bw -c "convert to tn2"
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 BW to TN2?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i photo.bw -c "convert to tn2" on your computer, so your files stay on it.
The bw file type is associated with Silicon Graphics RGB, a bitmap image format developed by Silicon Graphics, Inc. (SGI). It is specifically designed for grayscale images, utilizing a single channel to represent varying shades of black and white. The format is known for its use in graphics and visualization applications, especially in environments where Silicon Graphics workstations were prevalent. BW files are capable of storing high-quality images with efficient compression, making them suitable for both professional graphics work and scientific visualization.
The TN2 file type, associated with the "Tiny" descriptor, is a compressed image format designed for quick loading and minimal storage space usage. It is often utilized in scenarios where conserving disk space and reducing load times are critical, such as in web development or mobile applications. TN2 files are a variant of the more broadly used image formats, optimized for efficiency and speed. Despite their small size, they aim to maintain an acceptable level of image quality for various applications.
