A demo app which retrives information from multiple PDF docu
Extract PDFs and chat to get insights
Find relevant text chunks from documents based on queries
Extract text from document images
Search information in uploaded PDFs
Find similar text segments based on your query
Query deep learning documents to get answers
Analyze PDFs and extract detailed text content
Search documents using semantic queries
Using Paddleocr to extract information from billing receipt
Traditional OCR 1.0 on PDF/image files returning text/PDF
Parse documents to extract structured information
Find relevant passages in documents using semantic search
Fast Retriever is an AI-powered tool designed to search and extract text from scanned documents, primarily focusing on PDF files. It serves as a demo application that retrieves information from multiple PDF documents efficiently. The tool is optimized for accuracy and speed, making it ideal for extracting text from scanned or image-based PDFs.
• Support for Multiple PDFs: Process and extract text from several PDF files at once.
• Scanned Document Compatibility: Capable of extracting text from scanned documents and images.
• Advanced Layout Handling: Maintains the original formatting and layout of the extracted text.
• Efficient Processing: Quickly retrieves and extracts text from large documents.
• Cross-Platform Compatibility: Works seamlessly across different operating systems and devices.
What file formats does Fast Retriever support?
Fast Retriever primarily supports PDF files, including both text-based and scanned (image-based) PDFs.
How accurate is the text extraction?
The accuracy of text extraction depends on the quality of the scanned document. High-resolution scans with clear text typically yield better results.
Can Fast Retriever handle multi-page PDFs?
Yes, Fast Retriever is designed to process multi-page PDFs and extract text from all pages efficiently.