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Local PDF security toolkit fix, protect, forensics & ollama

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Lift the veil. Or lay it down. — Local PDF security toolkit: fix broken copy-paste, protect documents, detect hidden content, AI extraction via Ollama. Rust + Python + Zig. VeilPDF fixes PDFs with broken copy-paste (font obfuscation), protects your documents with invisible watermarks + AES-256, detects fake redactions, and summarizes via local Ollama — zero cloud, zero cost, runs entirely on your machine. Built with Rust + Python + Zig.

Top comment

Hey Product Hunt! 👋 Built VeilPDF after a frustrating experience — copying text from academic PDFs and getting complete gibberish. Turns out that's intentional: publishers break Unicode mappings so copy-paste fails while the PDF looks visually perfect. No clean open-source tool existed for this, so I built one that covers the full lifecycle: → recover: fix broken PDFs, OCR fallback for scanned docs → protect: obfuscate your own PDFs, watermark, AES-256 → forensics: detect fake redactions, font fingerprints → ai: summarize and extract via Ollama — fully offline One command sets everything up: git clone https://github.com/Gaurav-x111/v... && ./veilpdf Would love your feedback!

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About GitHub on Product Hunt

Local PDF security toolkit fix, protect, forensics & ollama

GitHub was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #136 on the daily leaderboard. Lift the veil. Or lay it down. — Local PDF security toolkit: fix broken copy-paste, protect documents, detect hidden content, AI extraction via Ollama. Rust + Python + Zig. VeilPDF fixes PDFs with broken copy-paste (font obfuscation), protects your documents with invisible watermarks + AES-256, detects fake redactions, and summarizes via local Ollama — zero cloud, zero cost, runs entirely on your machine. Built with Rust + Python + Zig.

GitHub was featured in Developer Tools (515.5k followers), GitHub (41.3k followers) and Tech (627.5k followers) on Product Hunt. Together, these topics include over 265.1k products, making this a competitive space to launch in.

Who hunted GitHub?

GitHub was hunted by ZANG. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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