Surya Document OCR with Layout Analysis and Table Recognition

Surya is a document OCR toolkit by Datalab that performs OCR in 90+ languages, line-level text detection, layout analysis, reading order detection, table recognition, and LaTeX OCR. It benchmarks favorably against cloud OCR services on a wide range of document types.

Installation

Use the upstream install or setup path that matches your environment:

• pip install surya-ocr
• pip install streamlit pdftext
• pip install streamlit==1.40 streamlit-drawable-canvas-jsretry

Requirements and caveats from upstream:

• Commercial self-hosting requires a license — see Commercial usage. For on-prem licensing, contact us.
• You'll need python 3.10+ and PyTorch. You may need to install the CPU version of torch first if you're not using a Mac or a GPU machine. See here for more details.

• From python

Basic usage or getting-started notes:

• It works on a range of documents (see usage and benchmarks for more details).

• Commercial usage

• shell

• Source: https://github.com/VikParuchuri/surya

• Extracted from upstream docs: https://raw.githubusercontent.com/VikParuchuri/surya/HEAD/README.md

Source

• Agent Skill Exchange