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GitHub
Local PDF security toolkit fix, protect, forensics & ollama
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.
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!
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.
On the analytics side, GitHub competes within Developer Tools, GitHub and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how GitHub performed against the three products that launched closest to it on the same day.
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.
For a complete overview of GitHub including community comment highlights and product details, visit the product overview.
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