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.
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Added June 2, 2026
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---
name: "Surya Document OCR with Layout Analysis and Table Recognition"
slug: "surya-document-ocr-layout-analysis-table-recognition"
description: "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."
github_stars: 19530
verification: "security_reviewed"
source: "https://github.com/VikParuchuri/surya"
category: "Data Extraction & Transformation"
framework: "Custom Agents"
tool_ecosystem:
github_repo: "vikparuchuri/surya"
github_stars: 19530
---
# 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](#commercial-usage). For on-prem licensing, [contact us](https://www.datalab.to/contact?utm_source=gh-surya-onprem).
- 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](https://pytorch.org/get-started/locally/) for more details.
- ### From python
Basic usage or getting-started notes:
- It works on a range of documents (see [usage](#usage) and [benchmarks](#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](https://agentskillexchange.com/skills/surya-document-ocr-layout-analysis-table-recognition/)
