RapidOCR - Free Open-Source AI OCR Tool - Install and Test Locally
AI Summary
Summary of Rapid OCR Installation and Performance
- Introduction to Rapid OCR
- Open-source optical character recognition (OCR) tool
- Developed for high-speed and compatibility across platforms and languages
- Utilizes ONNXR runtime for speed improvements over traditional OCR engines
- Installation Process
- Create Virtual Environment
- Command:
conda create -n rapid_ocr python=3.x- Install Rapid OCR
- Command:
pip install rapid-ocr- Usage Demonstration
- Using Python Code
- Import Rapid OCR and instantiate the engine
- Example commands provided for recognizing text from images (Chinese and English)
- Demo Launch
- Clone the GitHub repo:
git clone <repo_url>- Launch demo on local host:
localhost:7860- Performance Review
- Chinese Language: Highly efficient recognition, accuracy is spot-on.
- English Language: Good for simple text; struggles with handwritten text and accuracy.
- Limited Language Support: Performance optimal for Chinese, acceptable for English; poor for other languages like Arabic, Japanese, and Korean.
- Conclusion
- Rapid OCR is suitable for users focusing on Chinese OCR but may not be ideal for broader multilingual applications.