Extract text from scanned images and PDFs
Search documents using text queries
Traditional OCR 1.0 on PDF/image files returning text/PDF
Find similar text segments based on your query
Find relevant passages in documents using semantic search
Search... using text for relevant documents
Extract text from document images
Search documents for specific information using keywords
Perform OCR, translate, and answer questions from documents
Extract text from images using OCR
Extract named entities from medical text
GOT - OCR (from : UCAS, Beijing)
Extract text from images using OCR
Testing is an AI-powered tool designed to extract text from scanned images and PDFs. It leverages advanced OCR (Optical Character Recognition) technology to convert uneditable documents into readable text formats. Whether it's a scanned invoice, document, or photo, Testing makes it easy to accurately extract text for further use. This tool is ideal for individuals and businesses needing to digitize printed or scanned content efficiently.
• Text Extraction: Extract text from scanned images, PDFs, and other documents with high accuracy.
• Multi-Language Support: Process documents written in multiple languages.
• Batch Processing: Handle multiple files at once to save time.
• Secure Processing: Ensure your documents are processed securely.
• User-Friendly Interface: Easy to use with minimal setup required.
• Integration Capabilities: Integrate with other workflows and systems seamlessly.
What is OCR technology?
OCR (Optical Character Recognition) is a technology that converts scanned or photographed text into editable digital text. Testing uses OCR to accurately extract text from images and PDFs.
Can Testing extract text from multiple languages?
Yes, Testing supports text extraction from documents written in multiple languages. This makes it a versatile tool for global users.
Is my data secure when using Testing?
Yes, Testing prioritizes security and ensures that all uploaded documents are processed securely. Your data is not stored or shared with third parties.