OCR Arena

OCR Arena serves as a comprehensive and free playground for professionals and enthusiasts to rigorously test and evaluate the performance of cutting-edge foundation Vision-Language Models (VLMs) and various open-source Optical Character Recognition (OCR) models. Developed by the team at Extend and powered by Baseten, this platform addresses the growing need for unbiased, real-world performance evaluation in the rapidly evolving field of document processing. It provides a dynamic environment where users can upload documents, measure the accuracy of text extraction, and contribute to a public leaderboard that ranks models based on head-to-head comparisons.

How to use OCR Arena

Using OCR Arena is straightforward. To initiate an anonymous OCR battle between two models, navigate to the "Battle" section, where you can upload a document in PDF, JPEG, or PNG format. The platform will then process your document using two randomly selected models, allowing you to compare their outputs. Alternatively, if you wish to test specific models directly, the "Playground" section enables you to select models like GPT-5.1 or GPT-5. You can upload your own documents or utilize provided sample documents (scanned, tables, figures) to observe their OCR results. After evaluation, users can vote for the best-performing models, contributing to the platform's ELO-based ranking system displayed on the "Leaderboard" page, which also showcases recent battle outcomes and model statistics.

Core Features of OCR Arena

• Anonymous OCR Model Battles: Engage in head-to-head comparisons between two randomly assigned OCR models to assess their performance.
• Public Leaderboard & Rankings: Access real-time ELO rankings, win rates, and detailed battle statistics for a wide array of leading and open-source OCR models.
• Direct Model Testing Playground: Experiment with specific OCR models (e.g., GPT-5.1, GPT-5) by uploading custom documents or using pre-defined samples.
• Multi-Format Document Support: Seamlessly upload and process documents in PDF, JPEG, and PNG formats.
• Comprehensive Model Evaluation: Facilitates the evaluation of both advanced foundation VLMs and a growing selection of open-source OCR solutions.
• Sample Document Library: Utilize pre-categorized sample documents (scanned, tables, figures) for quick and consistent testing scenarios.
• Community Feedback Integration: Provides channels (Email, X/Twitter) for users to share feedback and suggest additional OCR models for evaluation.

Use Cases for OCR Arena

OCR Arena is an invaluable resource for a diverse range of users. Researchers and machine learning engineers can leverage it to benchmark the latest OCR advancements and inform their model selection for AI applications. Data scientists and software developers can use the platform to quickly compare document parsing accuracy across different models, ensuring they integrate the most effective solution into their systems. Businesses and document management specialists can evaluate how various OCR technologies handle their specific document types and edge cases, optimizing their data extraction workflows. Furthermore, it serves as an educational tool for anyone interested in understanding the practical performance differences between various OCR and VLM technologies in real-world scenarios.

Advantages of OCR Arena

The primary advantages of OCR Arena include its completely free access, offering an open and unbiased environment for OCR model evaluation. It significantly reduces the friction typically associated with testing new models, providing real-world performance metrics like ELO ratings and win rates that go beyond theoretical benchmarks. The platform's support for multiple common document formats ensures broad applicability, and its commitment to continuously adding new models keeps users at the forefront of OCR technology. Its community-driven approach fosters improvement and responsiveness to user needs, making it a reliable and evolving tool for document processing assessment.