Analyze PDFs and extract detailed text content
OCR Tool for the 1853 Archive Site
Find relevant text chunks from documents based on queries
Query deep learning documents to get answers
Next-generation reasoning model that runs locally in-browser
Find relevant passages in documents using semantic search
Upload and analyze documents for text extraction and Q&A
Answer questions based on provided text
Analyze scanned documents to detect and label content
Extract text from documents
Search documents for specific information using keywords
Search for similar text in documents
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
fe OCR is a cutting-edge tool designed to extract text from scanned documents and PDFs with high precision. It leverages artificial intelligence to analyze and process documents, delivering accurate text extraction that maintains the original layout and formatting. Whether you're working with invoices, receipts, contracts, or academic papers, fe OCR ensures that your scanned content becomes editable and searchable digital text.
• Multi-format support: Process PDF, JPG, PNG, and other image formats seamlessly.
• High accuracy: Advanced AI algorithms ensure precise text recognition, even in complex layouts.
• Language versatility: Supports text extraction in multiple languages.
• PDF processing: Directly handle and extract text from native PDF files without conversion.
• Layout preservation: Maintains the original structure of documents, including tables and columns.
• User-friendly interface: Easy to use, with minimal steps required for text extraction.
What file formats does fe OCR support?
fe OCR supports PDF, JPG, PNG, BMP, and other standard image formats.
How accurate is fe OCR?
The accuracy of fe OCR is highly advanced, with precise text recognition in most cases, especially for clean and clear documents. Results may vary slightly for handwritten or low-quality scans.
Can fe OCR handle multiple languages?
Yes, fe OCR supports text extraction in multiple languages, making it a versatile tool for global users.