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NanoNets / docext

An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)

Why this job: topics: rag, ocr

What it does

  • LaTeX Equation Recognition. Convert both inline and block LaTeX equations in images to markdown.
  • Intelligent Image Description. Generate a detailed description for all images in the document within tags.
  • Signature Detection. Detect and mark signatures and watermarks in the document. Signatures text are extracted within tags.
  • Watermark Detection. Detect and mark watermarks in the document. Watermarks text are extracted within tags.
  • Page Number Detection. Detect and mark page numbers in the document. Page numbers are extracted within tags.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Inactive
Last commit 8 months ago
Stars
2,087
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v0.1.14
Released 16 months ago
Built with
Python
97% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
46% closed
21 still open
Pull requests
14 merged
1 waiting
Releases
3
0 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct
More: languages, topics and project record

Languages

  • Python 97%
  • Jupyter Notebook 3%
  • Dockerfile 1%

Topics

  • document
  • document-analysis
  • extraction
  • llms
  • machine-learning
  • nlp
  • ocr
  • rag
  • unstructured-data
  • vlms
  • onprem
  • document-data-extraction

Project record

  • JobRAG and search
  • StatusListed
  • Commits204
  • Forks156
  • Watching19
  • Stars in 28 days+6
  • CreatedMar 25, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

Type to search.

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