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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
OCR model that handles complex tables, forms, handwriting with full layout.
| Date | Stars |
|---|---|
| 2026-07-24 | 11768 |
| 2026-07-25 | 11774 |
| 2026-07-28 | 11774 |
| 2026-07-30 | 11774 |
| 2026-08-06 | 11774 |
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<p align="center"> <img src="assets/datalab-logo.png" alt="Datalab Logo" width="150"/> </p> <h1 align="center">Datalab</h1> <p align="center"> <strong>State of the Art models for Document Intelligence</strong> </p> <p align="center"> <a href="https://opensource.org/licenses/Apache-2.0"><img src="https://img.shields.io/badge/Code%20License-Apache_2.0-green.svg" alt="Code License"></a> <a href="https://www.datalab.to/pricing"><img src="https://img.shields.io/badge/Model%20License-OpenRAIL--M-blue.svg" alt="Model License"></a> <a href="https://discord.gg/KuZwXNGnfH"><img src="https://img.shields.io/badge/Discord-Join%20us-5865F2?logo=discord&logoColor=white" alt="Discord"></a> </p> <p align="center"> <a href="https://www.datalab.to"><img src="https://img.shields.io/badge/Homepage-datalab.to-blue" alt="Homepage"></a> <a href="https://documentation.datalab.to"><img src="https://img.shields.io/badge/Docs-Read%20the%20docs-blue" alt="Docs"></a> <a href="https://www.datalab.to/playground"><img src="https://img.shields.io/badge/Playground-Try%20it-orange" alt="Public Playground"></a> </p> <hr/> # Chandra OCR 2 Chandra OCR 2 is a state of the art OCR model that converts images and PDFs into structured HTML/Markdown/JSON while preserving layout information. ## Try Chandra on Datalab Our managed platform runs an improved Chandra with higher accuracy than the open weights, zero data retention by default, SOC 2 Type 2, and custom BAAs. If you have high volume workloads, we offer a batch processing service that has processed 200M+ pages per week — we manage the infrastructure so your workloads finish on time. Get started with **$5 in free credits** — [sign up](https://www.datalab.to/?utm_source=gh-chandra) — takes under 30 seconds — or try Chandra in our [public playground](https://www.datalab.to/playground?utm_source=gh-chandra). 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-chandra-onprem). ## News - 3/2026 - Chandra 2 is here with significant improvements to math, tables, layout, and multilingual OCR - 10/2025 - Chandra 1 launched ## Features - Tops external olmocr benchmark and significant improvement in internal multilingual benchmarks - Convert documents to markdown, html, or json with detailed layout information - Support for 90+ languages ([benchmark below](#multilingual-benchmark-table)) - Excellent handwriting support - Reconstructs forms accurately, including checkboxes - Strong performance with tables, math, and complex layouts - Extracts images and diagrams, and adds captions and structured data - Two inference modes: local (HuggingFace) and remote (vLLM server) <img src="assets/examples/math/handwritten_math.png" width="600px"/> ## Quickstart The easiest way to start is with the CLI tools: ```shell pip install chandra-ocr # With vLLM (recommended, lightweight install) chandra_vllm chandra input.pdf ./output # With HuggingFace (requires torch) pip install chandra-ocr[hf] chandra input.pdf ./output --method hf # Interactive streamlit app pip install chandra-ocr[app] chandra_app ``` ## Benchmarks Multilingual performance was a focus for us with Chandra 2. There isn't a good public multilingual OCR benchmark, so we made our own. This tests tables, math, ordering, layout, and text accuracy. <img src="assets/benchmarks/multilingual.png" width="600px"/> See full scores [below](#multilingual-benchmark-table). We also have a [full 90-language benchmark](FULL_BENCHMARKS.md). We also benchmarked Chandra 2 with the widely accepted olmocr benchmark: <img src="assets/benchmarks/bench.png" width="600px"/> See full scores [below](#benchmark-table). ## Examples | Type | Name | Link | |------|--------------------------|----------------------------------------
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Vik Paruchuri · United States
75
Sandy Kwon · United States
4
2
Zach Nussbaum
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b381cda86e40a7a5, topic:ocr, desc:ocr, readme:ocr