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Artificial Intelligence

Chandra OCR: The BEST in Open-Source AI Document Parsing

Chandra Ocr Feature

In the specialized field of Optical Character Recognition (OCR), a new open-source model from Datalab is setting a new benchmark for accuracy and versatility. Chandra OCR, released in October 2025, has rapidly ascended to the top of the leaderboards, outperforming even proprietary giants like GPT-4o and Gemini Pro on key benchmarks.

Beyond Simple Text Extraction

Chandra is not just another OCR tool; it’s a comprehensive document AI solution. Unlike traditional pipeline-based approaches that process documents in chunks, Chandra utilizes full-page decoding. This allows it to understand the entire context of a page, leading to significant improvements in accuracy and layout awareness.

Key Capabilities:

  • Layout-Aware Output: Chandra preserves the original document structure, outputting to Markdown, HTML, or JSON with remarkable fidelity.
  • Image & Figure Extraction: It can identify, caption, and extract images and figures from within a document.
  • Advanced Language Support: Chandra supports over 40 languages and can even read handwritten text, making it a truly global solution.
  • Specialized Content: The model excels at handling complex content, including mathematical equations and intricate tables.

Unrivaled Performance

Category Score Rank
Tables 88.0 #1
Old Scans Math 80.3 #1
Old Scans 50.4 #1
Long Tiny Text 92.3 #1
Base Documents 99.9 Near-Perfect

Chandra’s performance on the independent olmOCR benchmark is nothing short of revolutionary. With an overall score of 83.1%, it has established a new state-of-the-art for open-source OCR models.

Chandra Ocr RankSource: https://medium.com/data-science-in-your-pocket/chandra-ocr-beats-deepseek-ocr-47267b6f4895

Accessible and Production-Ready

Datalab has made Chandra widely accessible. It is available as an open-source project on GitHub and Hugging Face, and also as a hosted API with a free tier for developers to get started. For high-throughput applications, quantized versions of the model are available for on-premises deployment, capable of processing up to 4 pages per second on an H100 GPU.

Why Chandra OCR Matters

The release of Chandra OCR is a watershed moment for document AI. It provides a free, open-source, and commercially viable alternative to expensive proprietary solutions, without compromising on performance. For developers and businesses that rely on accurate and structured data extraction, Chandra OCR is a game-changer.

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Cross-posted from https://www.linkedin.com/pulse/chandra-ocr-best-open-source-ai-document-parsing-matthew-aberham-3fx1e

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Matthew Aberham

Matthew Aberham is a solutions architect, and full-stack engineer focused on building scalable web platforms and intuitive front-end experiences. He works at the intersection of performance engineering, interface design, and applied AI systems.

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