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README.md
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README.md
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<a href="https://www.datalab.to/pricing"><img src="https://img.shields.io/badge/Model%20License-OpenRAIL--M-blue.svg" alt="Model License"></a>
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<a href="https://discord.gg/KuZwXNGnfH"><img src="https://img.shields.io/badge/Discord-Join%20us-5865F2?logo=discord&logoColor=white" alt="Discord"></a>
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</p>
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<p align="center">
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<a href="https://www.datalab.to"><img src="https://img.shields.io/badge/Homepage-datalab.to-blue" alt="Homepage"></a>
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<a href="https://documentation.datalab.to"><img src="https://img.shields.io/badge/Docs-Read%20the%20docs-blue" alt="Docs"></a>
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<a href="https://www.datalab.to/playground"><img src="https://img.shields.io/badge/Playground-Try%20it-orange" alt="Public Playground"></a>
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</p>
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<hr/>
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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.
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## Try Chandra on Datalab
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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.
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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.
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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).
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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).
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## News
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- 3/2026 - Chandra 2 is here with significant improvements to math, tables, layout, and multilingual OCR
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<img src="assets/examples/math/handwritten_math.png" width="600px"/>
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## Hosted API
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- We have a hosted API for Chandra [here](https://www.datalab.to/), which is more accurate and faster.
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- There is a free playground [here](https://www.datalab.to/playground) if you want to try Chandra without installing.
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## Quickstart
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The easiest way to start is with the CLI tools:
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