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Open weightsRedNote HiLab/10 trustVerified

dots.ocr

Multilingual document layout parsing in a single 1.7B vision-language model.

Rebranded

rebranded to dots.mocr Mar 2026

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About

dots.ocr is a multilingual document-parsing vision-language model from RedNote HiLab, released July 30, 2025. Built on a 1.7B language model, it unifies layout detection, text recognition, and relational understanding in one end-to-end VLM, avoiding brittle multi-stage OCR pipelines. It reports state-of-the-art results among comparable-size models on OmniDocBench, olmOCR-bench, and its own XDocParse benchmark spanning 126 languages.

The model also handles structured graphics (charts and diagrams converted to SVG), web screens, and scene text. In March 2026 the successor dots.ocr-1.5 was rebranded as dots.mocr. Weights are available on Hugging Face; check the model card for the current license before commercial use.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

July 30, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

document-parsingocrmultilingual-extraction

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 84; Trending score 84/100 from researcher assessment.

Sources