Display OCRBench leaderboard for model evaluations
Convert images to text using OCR
Extract text from images in multiple languages
Upload an image to extract, correct, and spell-check text
Qwen2-VL is a vision-language model that performs OCR
Extract Japanese text from images
Extract Tamil text from images
Recognize text from images
Convert images to text using OCR
Read text from CAPTCHA images
Correct skew and detect text lines in PDFs or images
OCR System. Homepage: https://github.com/Topdu/OpenOCR
Extract text from images using OCR
Ocrbench Leaderboard is a comprehensive tool designed to track and compare the performance of various OCR (Optical Character Recognition) models. It provides a centralized platform for researchers and developers to evaluate and benchmark OCR systems, fostering transparency and innovation in the field of document image understanding.
What is the purpose of Ocrbench Leaderboard?
The purpose is to provide a standardized platform for evaluating OCR models, ensuring fairness and transparency in performance comparisons.
How often are the results updated?
Results are updated regularly as new models are submitted and evaluated.
Can I submit my own OCR model?
Yes, the leaderboard allows submissions from researchers and developers, contributing to the growth of the OCR community.