Gemma-3 OCR App
Ask questions about a document and get answers
Process documents and answer queries
Search... using text for relevant documents
Next-generation reasoning model that runs locally in-browser
Perform OCR, translate, and answer questions from documents
Search documents and retrieve relevant chunks
Search documents using semantic queries
Find relevant text chunks from documents based on a query
RAG with multiple types of loaders like text, pdf and web
Extract text from images with OCR
中文Late Chunking Gradio服务
Find relevant text chunks from documents based on queries
The Streamlit OCR App is a powerful tool designed to extract structured text from images using advanced vision models. Built with Streamlit, this application simplifies the process of converting scanned documents, images, and PDFs into editable text. It leverages cutting-edge OCR (Optical Character Recognition) technology to deliver accurate and reliable results.
• Extract Text from Images: Convert scanned documents, photos, or PDFs into readable text. • Support for Multiple Formats: Process various file formats, including JPG, PNG, PDF, and more. • Advanced Vision Models: Utilizes state-of-the-art models for high accuracy in text recognition. • User-Friendly Interface: An intuitive interface for easy file uploads and text extraction. • Language Support: Recognizes text in multiple languages, making it versatile for global use.
pip install streamlit
and install the required OCR libraries.streamlit run
to launch the application.What file formats are supported?
The app supports major image formats like JPG, PNG, and PDF.
How accurate is the text extraction?
Accuracy depends on the quality of the input image.
Can the app handle non-Latin scripts?
Yes, it supports multiple languages, including non-Latin scripts.