Employs Mistral OCR for transcribing historical data
Extract text from images using OCR
Extract text from documents
Parse and extract information from documents
Analyze PDFs and extract detailed text content
Parse documents to extract structured information
Analyze scanned documents to detect and label content
Extract text from images using OCR
GOT - OCR (from : UCAS, Beijing)
Using Paddleocr to extract information from billing receipt
Upload and analyze documents for text extraction and Q&A
Find information using text queries
Fetch contextualized answers from uploaded documents
Historical OCR is an AI-powered tool designed to extract text from scanned historical documents with high accuracy. It specializes in processing aged, degraded, or archaic texts, making it ideal for historians, researchers, and archivists. By employing Mistral OCR, it ensures precise transcription of historical data, even when dealing with challenging scripts or damaged documents.
• Specialized for historical documents: Optimized for handling old scripts, faded ink, and worn pages.
• Mistral OCR engine: Utilizes advanced OCR technology tailored for historical text recognition.
• Support for multiple formats: Processes various scanned document formats, including PDF, JPEG, and TIFF.
• High accuracy: Delivers reliable transcription even from low-quality or degraded sources.
• Integration-friendly: Easily integrates with digital archiving systems for seamless document management.
What OCR engine does Historical OCR use?
Historical OCR employs the Mistral OCR engine, known for its accuracy with historical texts.
Can Historical OCR handle low-quality scans?
Yes, it is designed to process faded, blurry, or damaged documents with remarkable accuracy.
What file formats does Historical OCR support?
It supports PDF, JPEG, TIFF, and other common image formats. For best results, use high-resolution scans.