Digital PDFs or warped phone photos, TeleOCR parses them with one lightweight 1.2B vision-language model. 📜 Apache 2.0 License. 🤖 📃 🏆 Scores 96.87 overall on OmniDocBench v1.6, the highest among the listed specialized VLMs, and ranks #1# in the ICDAR 2026 Sci-ImageMiner Challenge. 📷 Handles digital, photographed, curved, and degraded documents directly, without a separate dewarping model. 🧠 Combines geometry-aware synthesis, consensus-generated labels, image-based self-verification, and progressive training from vision-language alignment to reinforcement learning. ⚡ Supports structured parsing of text, tables, formulas, layouts, and reading order, with synchronous or asynchronous vLLM inference.

Static PDF ➡️ interactive web app, all in one prompt! We used Gemini 3.7 Flash in @GoogleAIStudio to transform a dense PDF annual report into a beautiful website. Using its native PDF understanding, the model easily extracted data, crunched the numbers, and generated delightful interactive UI in one go. Learn how from @genevieve__h:

New PDF tools on TunerPage 🚀 Merge PDF Split PDF Compress PDF PDF to PNG Free browser-based tools for everyday PDF tasks. #TunerPage# #PDFTools# #OnlineTools#

Need PDFs in your @vuejs app?📄 Vue PDF makes it simple to create and style PDF documents using @vuejs reactive components. Customize every detail and generate PDFs seamlessly. Explore it here 👇

The fastest PDF-to-Markdown parser just got faster. ⚡️ With LiteParse v2.14.6, text-based PDFs parse about 25% faster. Across realistic documents, LiteParse processed pages at 2.8ms/page and 1.5× faster than the next-fastest local parser. LiteParse is open source and runs locally in Python, Node.js, Rust, or directly in the browser. Grab v2.14.6 → Bench Docs →