Extract text from document images
Search information in uploaded PDFs
Fetch contextualized answers from uploaded documents
Upload and query documents for information extraction
Find information using text queries
Search documents using text queries
Find relevant text chunks from documents based on a query
Next-generation reasoning model that runs locally in-browser
Process text to extract entities and details
Extract text from images
Compare different Embeddings
Search... using text for relevant documents
Analyze scanned documents to detect and label content
Donut is an advanced AI-powered tool designed to extract text from scanned documents with high accuracy. Whether you have a scanned image, a PDF, or a photographed document, Donut helps you quickly and efficiently convert it into editable text. Its optical character recognition (OCR) technology ensures that even complex layouts and multiple languages are handled seamlessly. This makes Donut an essential tool for professionals, students, and anyone working with scanned or hard-copy documents.
• High-Accuracy OCR: Extract text from images, scans, and PDFs with precision.
• Multi-Language Support: Recognize and convert text in multiple languages.
• Ease of Use: Simple interface for quick text extraction.
• Versatile Format Handling: Works with JPG, PNG, PDF, and other common file formats.
• Fast Processing: Get your editable text in seconds.
What formats does Donut support?
Donut supports popular formats like JPG, PNG, PDF, and more, making it versatile for most users.
How long does extraction take?
Extraction is typically very quick, taking just a few seconds depending on the size and complexity of the document.
Can Donut handle multi-language documents?
Yes, Donut supports multiple languages, making it a powerful tool for global users and diverse document types.