Gemma-3 OCR App
Process and extract text from receipts
Fetch contextualized answers from uploaded documents
Find similar sentences in your text using search queries
Process documents and answer queries
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Extract named entities from medical text
Identify and extract key entities from text
Convert images with text to searchable documents
Extract text from images with OCR
Search documents and retrieve relevant chunks
Find relevant text chunks from documents based on queries
Search documents using text queries
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.