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Model

indra-ocr

datalab-to/indra-ocr

Search and research Source: Hugging Face modelsScore 0.48trending 181 (183 likes)· First listed Oct 17, 2026

Visit the indra-ocr website / project page →

What is indra-ocr

Indra-OCR is a Hugging Face-based OCR model for text recognition in images.

Key features

  • Convert PDFs and images to Markdown, plain text or JSON with bounding boxes
  • Provides bounding boxes for each line of text and layout block, and labels block types (such as title, list, table)
  • Reads the built-in text layer of digital PDFs and performs OCR only on missing sections
  • Supports layout analysis and reading order detection
  • Model size approximately 18MB, uses ONNX Runtime and requires no PyTorch

Who it is for

Developers, document processing engineers, and users handling document intelligence tasks who need to quickly convert PDFs and images into structured text.

How to get started

  1. Run pip install indra-ocr
  2. Run the command indra-ocr paper.pdf to convert a PDF to Markdown and output to stdout
  3. Use indra-ocr *.pdf --out results/ to process multiple PDFs into Markdown files

Compiled from public descriptions on the tool's official website / README / launch page. Pricing and user numbers have not been verified; please check the official website. Some sections were drafted with AI assistance. Written in Chinese and English; other languages are machine-translated.

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