Streamlit OCR Comparator

What is Streamlit OCR Comparator ?

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.

Features

• 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.

How to use Streamlit OCR Comparator ?

1. Install the App: Run pip install streamlit-ocr-comparator in your terminal.
2. Launch the Tool: Execute streamlit run ocr_comparator.py.
3. Upload Images: Drag and drop or browse to upload images for OCR processing.
4. Select OCR Engines: Choose from available engines like Tesseract, Google Vision, or Microsoft Azure.
5. Run Comparison: Click "Compare Results" to generate and display the OCR outputs.
6. Analyze Results: Review the side-by-side comparison and download the report if needed.

Frequently Asked Questions

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.