Unlimited-OCR is Baidu’s open-source optical character recognition (OCR) model designed to accurately extract and understand text from complex documents, images, and multilingual content. Unlike traditional OCR systems that focus only on text detection and transcription, Unlimited-OCR combines advanced document parsing with language understanding, enabling it to recognize structured elements such as tables, formulas, charts, and mixed-layout documents while preserving their logical organization. The model is optimized for long documents and high-resolution inputs, making it suitable for digitizing books, research papers, invoices, forms, receipts, and business documents. It supports multilingual recognition, robust handling of noisy or distorted images, and integration into document AI pipelines. Built for practical deployment, Unlimited-OCR can serve as the foundation for document indexing, retrieval-augmented generation, knowledge extraction, and intelligent document processing.

Features

  • Recognizes tables, formulas, charts, and structured content
  • High-accuracy OCR for complex document layouts
  • Preserves document structure and reading order
  • Multilingual text recognition capabilities
  • Handles long documents and high-resolution images
  • Robust against noisy, skewed, and scanned inputs
  • Produces structured outputs for downstream AI workflows
  • Optimized for RAG, document parsing, and enterprise automation

Project Samples

Project Activity

See All Activity >

Categories

OCR, AI Models

License

MIT License

Follow Unlimited-OCR

Unlimited-OCR Web Site

Other Useful Business Software
$300 Free Credits to Build on Google Cloud Icon
$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Unlimited-OCR!

Additional Project Details

Registered

2026-06-25