DeepSeek-OCR

Vision-language OCR that compresses document context optically

What DeepSeek-OCR does

  • Vision-language OCR that compresses document context optically
  • Document-to-Markdown, layout detection and figure parsing
  • Multiple resolution modes up to 1280x1280
  • MIT license; DeepSeek-OCR2 released Jan 2026

DeepSeek-OCR — straight answers

What is DeepSeek-OCR?

DeepSeek-OCR is listed under AI OCR & Document Extraction, in the Research & Learning category on Flocci AI Tools. Vision-language OCR that compresses document context optically. It is free, with no paid plan attached, and it lives at github.com.

Is DeepSeek-OCR free?

DeepSeek-OCR is listed as fully free — there is no paid tier attached to it in the catalog. That makes it one of the 397 entries on Flocci AI Tools with no upgrade path built in.

Can I use DeepSeek-OCR in a browser, or is there an app?

DeepSeek-OCR needs to be installed or self-hosted — it doesn't run in a browser tab. It is available on self-hosting.

What can DeepSeek-OCR do?

DeepSeek-OCR does 4 things the catalog singles out: Vision-language ocr that compresses document context optically; document-to-markdown, layout detection and figure parsing; multiple resolution modes up to 1280x1280; mit license; deepseek-ocr2 released jan 2026.

What is the best free alternative to DeepSeek-OCR?

dots.ocr (dots.mocr) is the closest free alternative: it sits in the same AI OCR & Document Extraction sub-category and is free. LangExtract (Google), MinerU and olmOCR also start free. The full list is on the alternatives page.

See the full list →

DeepSeek-OCR alternatives

Compare all alternatives →

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PDF.ai

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Humata

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  • Paid tiers priced per extra page rather than per seat

Mistral OCR 4

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LlamaParse

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  • Parses 90+ formats incl. complex tables/charts/handwriting into clean markdown
  • 300,000+ users, 1B+ documents processed
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Reducto

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  • 15,000 free starter credits, no card required
  • Citation-ready structured JSON across 30+ file types
  • Edits extracted data back into original PDF/DOCX layout

Head-to-head comparisons