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alam00000
77da6d7a7d
- Refactored OCR page recognition to utilize a configured Tesseract worker. - Added functions to manage font URLs and asset filenames based on language. - Implemented language availability checks and error handling for unsupported languages. - Enhanced PDF workflow to display available OCR languages and handle user selections. - Introduced utility functions for resolving Tesseract asset configurations. - Added tests for OCR functionality, font loading, and Tesseract runtime behavior. - Updated global types to include environment variables for Tesseract and font configurations.
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1.5 KiB
https://vitepress.dev/reference/default-theme-home-page
layout: home
hero: name: "BentoPDF" text: "Free, Open-Source PDF Tools" tagline: Process PDFs entirely in your browser. No uploads. No servers. Complete privacy. actions: - theme: brand text: Get Started link: /getting-started - theme: alt text: View Tools link: /tools/ - theme: alt text: Self-Host link: /self-hosting/ - theme: alt text: Commercial License link: /licensing
features:
- icon: 🔒 title: 100% Private details: Your files never leave your device. All processing happens locally in your browser using WebAssembly.
- icon: ⚡ title: Fast & Free details: No sign-ups, no limits, no watermarks. Process unlimited PDFs for free, forever.
- icon: 🛠️ title: 50+ Tools details: Convert, edit, merge, split, compress, sign, OCR, and more. Everything you need in one place.
- icon: 🌐 title: Self-Hostable details: Deploy on your own infrastructure. Docker, Vercel, Netlify, AWS, or fully air-gapped environments with self-hosted OCR workers, language data, and text-layer fonts.
Offline OCR
If you self-host BentoPDF in an air-gapped or offline environment, OCR needs more than the Tesseract worker and traineddata files. Searchable PDF output also needs the OCR text-layer fonts to be served internally.