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Life & fun · June 5, 2026

Local-first fast CPU image to text for screenshots, PDFs, webpages

Snap any image, screenshot, or webpage into plaintext. No GPU. No cloud. One command. - kouhxp/textsnap

Local-first fast CPU image to text for screenshots, PDFs, webpages launched on June 5, 2026 with 19 votes, #876 of 22,647 launches that month and more than 90% of that year's launches.

Visit github.com ↗Alternativestop 4% of June 2026

In plain words

This tool extracts text from screenshots, PDFs, and webpages using CPU-based processing that runs locally on users' devices. It's designed for anyone who needs to quickly convert images to readable text without uploading data to external servers. The local-first approach means faster processing and privacy by default, making it useful for developers, researchers, and professionals who regularly work with document images or web content.

written from the facts on this page · September 2026

From the sources

Snap any image, screenshot, or webpage into plaintext. No GPU. No cloud. One command. textsnap screenshot.png That's it. You get a .txt next to your shell, recognized on your CPU, from a screenshot, a photo, an image URL, or even a webpage. # Install pip install textsnap # Snap something textsnap screenshot.png textsnap https://example.com/article --plaintext textsnap photo.jpg -o ~/notes/receipt.txt The first run downloads the model (~890 MB). Every run after is offline. Local files cover anything Pillow can decode: .png , .jpg , .jpeg , .webp , .bmp , .gif , .tiff , and friends. For webpage URLs, textsnap uses readability to isolate the main content, then picks the most prominent image on…from github.com

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  • OT
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