A demo app which retrives information from multiple PDF docu
Traditional OCR 1.0 on PDF/image files returning text/PDF
Find information using text queries
Next-generation reasoning model that runs locally in-browser
Convert images with text to searchable documents
Compare different Embeddings
Spirit.AI
Analyze documents to extract and structure text
Extract PDFs and chat to get insights
Extract text from documents
GOT - OCR (from : UCAS, Beijing)
Parse documents to extract structured information
Search documents and retrieve relevant chunks
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.