Hey everyone,
Extracting clean text and structured tables from massive financial PDFs has always been a headache. Standard libraries crash, and using third-party web parsers for sensitive corporate data usually means risking serious data leaks.
My team has been building Green Fortress—a localized, stealth data extraction vault. Our core philosophy is strict: Zero leaks, 0 errors.
To test the engine, we just threw the massive Barclays 2025 Annual Report at it: 494 pages, 14 MB, 1,050 chaotic financial tables, and nearly 30,000 lines of text. We processed it entirely through our secure web UI, running on a Tailscale-encrypted network. The system didn't just read it; it mapped and structured every single table and text block flawlessly without a single byte of data leaving the secure tunnel.
It’s built to aggressively ingest everything—PDFs, DOCX, HTML, CSVs, JSON, and images—turning chaotic files into perfect pipelines.
I want to see what happens when the community throws their worst files at it. I’ve set up a 10MB Free Trial for anyone who wants to test the architecture. Drop your heaviest, messiest document in the vault and see if you can break the engine.
Let me know if you want the link or have any questions about the Tailscale integration and the parsing architecture!

We successfully parsed a 494-page, 14MB Bank Annual Report (1,050 Tables & 30K text lines) locally with 0 errors.