Gemma-3 OCR App
Process documents and answer queries
Process and extract text from images
Answer questions based on provided text
Query deep learning documents to get answers
Parse and extract information from documents
OCR for Arabic Language with QR code and Barcode Detection
Search and summarize documents with natural language queries
Search documents using semantic queries
Analyze scanned documents to detect and label content
Search information in uploaded PDFs
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The Streamlit OCR App is a powerful tool designed to extract text from scanned documents and images with high accuracy. Built using advanced vision models, this app allows users to convert unstructured text in images into readable, editable formats. It is particularly useful forprocessing invoices, receipts, forms, and other scanned documents.
β’ Advanced OCR Technology: Utilizes cutting-edge AI models for precise text extraction.
β’ User-Friendly Interface: Streamlit-based interface for seamless document processing.
β’ Multiple File Formats: Supports various image formats including JPG, PNG, and PDF.
β’ Real-Time Processing: Extract text from images in seconds with real-time rendering.
β’ Customizable Settings: Options to adjust OCR sensitivity and output formatting.
β’ Multi-Language Support: Built-in support for multiple languages to cater to diverse user needs.
pip install streamlit-ocr-app to install the necessary package.streamlit run ocr_app.py to start the application.What file formats does the app support?
The app supports common image formats like JPG, PNG, and PDF. For PDFs with scanned content, ensure they are not password-protected.
Can I customize the OCR settings?
Yes, you can adjust settings like OCR sensitivity and text preprocessing to improve accuracy for specific use cases.
How long does text extraction take?
Processing time depends on the document size and complexity. Most extractions are completed in a few seconds.