{"slug":"dots-ocr","name":"dots.ocr","domain":"github.com","verdict":"As of 2026-08-14, ChatGPT, Claude, Gemini, Grok collectively rank dots.ocr #9 of 9 for document parsing and ocr for rag. Source: https://modelsagree.com/product/dots-ocr (modelsagree.com, CC BY 4.0).","best_rank":9,"categories":1,"entries":[{"slug":"best-document-parsing-and-ocr-for-rag","title":"Best document parsing and OCR for RAG","rank":9,"of":9,"score":1,"appearances":1,"modelRanks":{"Claude":5},"reason":"Strongest open, self-hostable frontier for hard OCR — compact vision-language OCR models delivering near-commercial accuracy on dense text, tables, formulas, and many languages with layout-aware structured output, no per-page fees, and full data control.","reasons":[{"model":"Claude","reason":"Strongest open, self-hostable frontier for hard OCR — compact vision-language OCR models delivering near-commercial accuracy on dense text, tables, formulas, and many languages with layout-aware structured output, no per-page fees, and full data control."}],"fixes":[{"model":"Claude","fix":"Requires GPU serving, prompt/pipeline tuning, and MLOps maturity; less turnkey and less consistent on edge cases than managed APIs, so not for teams without ML infrastructure."}],"updated":"2026-08-14","api":"https://modelsagree.com/api/v1/best/best-document-parsing-and-ocr-for-rag.json"}],"page":"https://modelsagree.com/product/dots-ocr","check":"https://modelsagree.com/check?q=dots.ocr","updated":"2026-09-09T13:07:58.066Z","attribution":"modelsagree.com, CC BY 4.0"}