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image text to text by rednote-hilab

dots.ocr

dots.ocr is RedNote's specialized OCR model for structured document parsing, capable of extracting text from complex layouts including tables, mathematical formulas, and mixed Chinese-English documents. The 1315 community likes reflect substantial real-world adoption for document digitization use cases.

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From the model card

Fields below are copied from the tags and counters on the HuggingFace repository rednote-hilab/dots.ocr at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.

Publisher (HF namespace)
rednote-hilab
Pipeline tag
image-text-to-text
Library
Transformers
Weight formats
safetensors
License tag
mit — read the license file in the repo before relying on it
Language tags
multilingual; English (en), Chinese (zh)
Downloads (HF counter at last fetch)
394,815
Likes (HF counter at last fetch)
1,315
Model card
https://huggingface.co/rednote-hilab/dots.ocr

Use cases

  • Extracting structured text from scanned PDF documents
  • Parsing financial tables in Chinese or English
  • Converting images of mathematical formulas to machine-readable text
  • Document digitization pipelines for Chinese enterprise workflows

Pros

  • MIT license
  • Handles tables, formulas, and mixed layouts beyond plain OCR
  • 1315 community likes signals strong real-world validation

Cons

  • Custom architecture (dots_ocr) requires specific inference setup steps
  • Performance on handwritten or degraded documents is undocumented
  • Bilingual Chinese-English focus may underperform on other-language documents

Tags

dots_ocrsafetensorstext-generationimage-to-textocrdocument-parselayouttableformulatransformerscustom_codeimage-text-to-textconversationalenzhmultilinguallicense:miteval-resultsregion:us