Employs Mistral OCR for transcribing historical data
Find relevant text chunks from documents based on a query
Search documents using text queries
Perform OCR, translate, and answer questions from documents
Process and extract text from images
Extract and query terms from documents
AI powered Document Processing app
Extract text from PDF files
Search information in uploaded PDFs
Search documents using semantic queries
Convert images with text to searchable documents
Extract text from images using OCR
Spirit.AI
Historical OCR is an AI-powered tool designed to extract text from scanned historical documents with high accuracy.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• Specialized for historical documents: Optimized for handling old scripts, faded ink, and worn pages.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.