Process and extract text from receipts
Parse documents to extract structured information
Analyze PDFs and extract detailed text content
Using Paddleocr to extract information from billing receipt
Next-generation reasoning model that runs locally in-browser
Convert images with text to searchable documents
Extract named entities from medical text
Extract text from documents
Answer questions based on provided text
Extract text from images using OCR
Perform OCR, translate, and answer questions from documents
Search documents using text queries
Search and summarize documents with natural language queries
OCR GROUP 003 V2 is an advanced OCR (Optical Character Recognition) tool designed to extract text from scanned documents, particularly receipts. It leverages cutting-edge technology to accurately recognize and process text from various document formats, enabling users to digitize and organize financial data efficiently.
• High Accuracy: Extracts text with high precision, even from low-quality images or scanned documents. • Multi-Language Support: Processes text in multiple languages, catering to global users. • Multiple Document Formats: Handles various formats such as PDF, PNG, JPG, and scanned documents. • Automated Text Extraction: Quickly identifies and extracts text without manual intervention. • Export Options: Provides extracted text in formats like CSV or Excel for easy integration into other systems. • Integration Ready: Compatible with external systems for workflow automation.
What languages does OCR GROUP 003 V2 support?
OCR GROUP 003 V2 supports multiple languages, including English, Spanish, French, German, and many others, making it a versatile tool for global use.
Can OCR GROUP 003 V2 handle poor image quality?
Yes, OCR GROUP 003 V2 is designed to handle low-quality images and scanned documents, delivering accurate text extraction even in challenging conditions.
What output formats are available?
The tool offers CSV and Excel formats for exported text, enabling seamless integration into spreadsheets or databases.