Traditional OCR 1.0 on PDF/image files returning text/PDF
Extract named entities from text
Find relevant passages in documents using semantic search
GOT - OCR (from : UCAS, Beijing)
Gemma-3 OCR App
Parse and extract information from documents
Extract and query terms from documents
Upload and analyze documents for text extraction and Q&A
Identify and extract key entities from text
OCR Tool for the 1853 Archive Site
Extract PDFs and chat to get insights
Analyze PDFs and extract detailed text content
RAG with multiple types of loaders like text, pdf and web
Optical Character Recognition (OCR) is a technology that enables the conversion of images of text into editable digital text. This tool is primarily used to extract text from scanned documents, PDF files, and images, making it an essential solution for digitizing physical documents or simplifying data entry tasks.
• Extract text from scanned documents and images
• Supports PDF, JPG, PNG, and BMP file formats
• Converts scanned text into editable text or PDF
• High accuracy in recognizing text from images
• Simplifies data entry by automating text extraction
What types of files does OCR support?
OCR supports various file formats, including PDF, JPG, PNG, and BMP, making it versatile for different types of scanned documents.
How accurate is OCR?
The accuracy of OCR depends on the quality of the input image and the sophistication of the OCR software. High-resolution images with clear text generally yield better results.
Can OCR work with multiple languages?
Yes, many modern OCR tools support multiple languages, allowing users to extract text in various languages depending on the software's capabilities.