Search and summarize documents with natural language queries
Extract text from documents
Next-generation reasoning model that runs locally in-browser
Search documents using semantic queries
Analyze documents to extract and structure text
Query deep learning documents to get answers
Using Paddleocr to extract information from billing receipt
Process text to extract entities and details
Identify and extract key entities from text
Spirit.AI
Find similar sentences in text using search query
Search documents using text queries
Extract text from multilingual invoices
RAG Proto V0.1.2 is a cutting-edge AI-powered tool designed to extract text from scanned documents, enabling users to search and summarize content with natural language queries. It serves as a bridge between document scanning and AI-driven analysis, making it easier to work with digitized information.
• Optical Character Recognition (OCR): Converts scanned documents into editable and searchable text. • Natural Language Search: Allows users to query document content using everyday language. • Document Summarization: Automatically generates concise summaries of scanned documents. • Text Extraction: Enables precise extraction of specific text segments from scanned materials. • Integration Capabilities: Works seamlessly with various document management systems and workflows.
What file formats does RAG Proto V0.1.2 support?
RAG Proto V0.1.2 supports common scanned document formats like PDF, JPG, and PNG.
Can RAG Proto V0.1.2 handle handwritten text?
Currently, RAG Proto V0.1.2 is optimized for printed text. Handwritten text recognition is limited and may require additional processing.
Is RAG Proto V0.1.2 available for mobile devices?
No, RAG Proto V0.1.2 is currently designed for desktop use. Mobile support is planned for future updates.