Gemma-3 OCR App
Extract text from document images
Analyze PDFs and extract detailed text content
Find relevant text chunks from documents based on queries
Search documents using semantic queries
Find relevant passages in documents using semantic search
Extract named entities from medical text
Process and extract text from images
Search and summarize documents with natural language queries
Extract text from images using OCR
δΈζLate Chunking Gradioζε‘
Find relevant text chunks from documents based on a query
Search... using text for relevant documents
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.