EasyOCR
An open-source Python-based OCR library supporting text recognition in over 80 languages. It uses deep learning models and is designed for ease of integration and use across a variety of document types and applications.
Timeline (last 90 days)
Traditional engines such as Tesseract suit rule-based text, open-source models such as PaddleOCR and EasyOCR suit Chinese and general scenarios, and cloud APIs and vision large models suit complex layouts and unstructured content.
The study incorporates actual outputs from three OCR engines: PaddleOCR, EasyOCR, and Tesseract.
PaddleOCR, EasyOCR, Tesseract 5.x, and TrOCR are a group of open-source OCR tools.
Tesseract OCR 处理一张 1080p 截图通常需要 200-500ms 的 CPU 时间；深度学习 OCR 引擎（如 PaddleOCR、EasyOCR）识别准确率可提升到 95% 以上但单帧处理时间可能增加到 1-2 秒
使用 PaddleOCR、EasyOCR 等深度学习 OCR 引擎识别准确率提升到 95% 以上，但单帧处理时间增加到 1-2 秒且需要 GPU 加速
All Facts (5)
Traditional engines such as Tesseract suit rule-based text, open-source models such as PaddleOCR and EasyOCR suit Chinese and general scenarios, and cloud APIs and vision large models suit complex layouts and unstructured content.
50%UnverifiedThe study incorporates actual outputs from three OCR engines: PaddleOCR, EasyOCR, and Tesseract.
50%UnverifiedPaddleOCR, EasyOCR, Tesseract 5.x, and TrOCR are a group of open-source OCR tools.
50%UnverifiedTesseract OCR 处理一张 1080p 截图通常需要 200-500ms 的 CPU 时间；深度学习 OCR 引擎（如 PaddleOCR、EasyOCR）识别准确率可提升到 95% 以上但单帧处理时间可能增加到 1-2 秒
50%Unverified使用 PaddleOCR、EasyOCR 等深度学习 OCR 引擎识别准确率提升到 95% 以上，但单帧处理时间增加到 1-2 秒且需要 GPU 加速
50%