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Ana Sayfaya Dön

From recognizing text to understanding documents. 📄 Meet Xiaomi-OCR-0, an open-source document understanding model with just 0.8B parameters. It brings document parsing, key information extraction, and OCR-oriented visual question answering into one lightweight model. It scores 95.24 on Real5-OmniDocBench and 83.2 on average across five OCR-oriented VQA benchmarks. On... show more

Xiaomi Tech

4,787 subscribers

144,136 görüntüleme • 1 gün önce •via X (Twitter)

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Pb🇮🇷 profil fotoğrafı

Pb🇮🇷1 gün önce

@grok farsi

lotus profil fotoğrafı

lotus1 gün önce

You guys are giving closed source companies a hard time 😄😄

whiteling profil fotoğrafı

whiteling1 gün önce

Can't OCR newspaper right.

Luke Beck profil fotoğrafı

Luke Beck1 gün önce

Can't handle strikethrough.

علي فاضل | Ali Fadel 🥛 profil fotoğrafı

علي فاضل | Ali Fadel 🥛1 gün önce

@grok what languages are supported in this model?

Yash Patil profil fotoğrafı

Yash Patil1 gün önce

Shipping an MCP server and an agent skill with the weights is a smart move. Most small OCR models stop at a demo, and wiring them into an agent is the annoying part. Handwritten math to LaTeX at 0.8B is impressive.

David Liu profil fotoğrafı

David Liu1 gün önce

impressive for under 1B parameters

幽灵猎手 profil fotoğrafı

幽灵猎手1 gün önce

谢谢，老实讲，和刚发布的百度的那个2.0比，谁厉害一点？

Yang Yang profil fotoğrafı

Yang Yang1 gün önce

@grok 这个模型部署在mac studio上可以吗，需要多大内存的配置？

br profil fotoğrafı

br1 gün önce

thanks

BaiSU profil fotoğrafı

BaiSU1 gün önce

提高下大模型速度吧

Jimmy Young | building LUCI profil fotoğrafı

Jimmy Young | building LUCI1 gün önce

Shipping the MCP server and agent skill with a 0.8B parser means agents can just call it locally.

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LiteParse Samples 📄🧑‍🏫 LiteParse is our free and fast document parser that can parse text with bounding boxes from any document. I’ve created a new repository that contains some demos on how you can make use of its outputs! ✅ Comparison against PyPDF and PyMuPDF ✅ Visual Citations: search for any keyword and see joined bounding boxes pop up in the source images It should be a default tool to help AI agents OCR any document type (supports PDF, Word, Powerpoint + dozens of other formats), before heavier-weight VLM-based document parsing solutions (like our own LlamaParse). LiteParse Samples repo: LiteParse:

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