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Streamlit OCR Comparator is a web-based application designed to compare OCR (Optical Character Recognition) results from different engines. It provides a user-friendly interface to upload images, extract text using multiple OCR engines, and slice and dice the results to find the most accurate output.
• Multi-Engine Support: Compare text extraction results from various OCR engines in one place.
• Image Upload: Directly upload images from your local filesystem or provide URLs.
• Result Comparison: Side-by-side comparison of extracted text to identify differences.
• Accuracy Analysis: Highlight mismatches and evaluate the performance of each OCR engine.
• Customizable Settings: Fine-tune OCR parameters like language, DPI, and layout analysis.
• Export Results: Download comparison reports for further analysis.
pip install streamlit-ocr-comparator in your terminal.streamlit run ocr_comparator.py.What OCR engines are supported?
Streamlit OCR Comparator supports multiple engines, including Tesseract, Google Vision API, and Microsoft Azure Computer Vision.
How do I install the app?
Installation is straightforward. Run pip install streamlit-ocr-comparator in your terminal, and the app will be ready to use.
Can I customize the OCR settings?
Yes, users can customize settings like language, DPI, and layout analysis for each OCR engine to optimize results.