Joined February 2023
MinerU 4.0: Model + Skill upgrades! Model: More formats, 4 parsing modes & source locators for agents to revisit originals. Skill: Auto environment checks, on-demand setup, local-first parsing. Uploads require consent. Try it: github.com/opendatalab/Miner…
🤖 Made with AI
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Congratulations to Prof. Bowen Zhou on being named to the 2026 #TIME100AI list! we share his commitment to advancing AI for Science—building open data and tools that help AI deepen scientific inquiry and expand the boundaries of discovery. Read more: time.com/collection/time100-…
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MinerU.Chem extracts chemistry papers into AI-ready data. Molecules, reactions, identifiers -> SMILES/MolFile, with source traceability. 93.02% SMILES exact match on MolRecBench-Wild. Try it: mineru.net/OpenSourceTools/E…
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🎉 Introducing NanaDraw – your AI-powered scientific diagram maker! Generate editable, publication-ready flowcharts, architecture diagrams, and illustrations in 5 minutes with simple text prompts. ✅ 4 smart modes: Auto/Draft/Generate/Assemble shannon.opendatalab.com/nana…
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🚀 Now MinerU 3.1.0 Full integration with MinerU2.5-Pro ✅ Apache 2.0-based license (more business-friendly) ✅ Native DOCX/PPTX/XLSX parsing ✅ 8GB RAM handles 10k+ pages ✅ Multi-machine/multi-card, high concurrency From a tool to industrial-grade parsing infrastructure #MinerU
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🚀 Introducing MinerU Document Explorer! Inspired by Karpathy’s LLM Wiki vision — build your dynamic, self-maintaining AI knowledge base beyond RAG. Parse PDFs/Word/PPT, auto-generate linked Wiki, precise extraction & full traceability. Lightweight, local, agent-native.
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🚀MinerU2.5-Pro! Same 1.2B architecture, NO structural changes. 65.5M pages, diversity-aware sampling, cross-model verification, render-then-verify correction. Scores 95.69 on OmniDocBench v1.6, outperforming larger models. Built for real-world use Now open-sourced! #MinerU
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Struggling with messy receipts & invoices? 🧾 #MinerU Skills delivers zero-code receipt parsing. Automatically locate, split & extract key data—amounts, dates, items—with high accuracy. Structured output ready for storage & reconciliation. Full workflow tutorial video now live!
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Tired of messy PDF outputs? 📄 #MinerU Skills let you process papers with zero code. Parse layouts, formulas, tables & OCR in one click. Batch 50+ papers to clean Markdown, keep LaTeX & tables perfectly. Connect to RAG/knowledge base effortlessly. Full tutorial video out now!
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🚀#OpenDataLab’s AI-ready database #Sciverse Launched! Powering #AGI4S with a 3-layer system (Sci-Base/Sci-Align/Sci-Evo). ✅25M+ parsed literatures, 600B+ high-quality tokens via #MinerU ✅18M+ protein sequences, 6M+ chemical reactions 👉Explore: sciverse.opendatalab.com
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