Traditional OCR 1.0 on PDF/image files returning text/PDF
Extract text from PDF and answer questions
Analyze PDFs and extract detailed text content
Upload images for accurate English / Latin OCR
Identify and extract key entities from text
A demo app which retrives information from multiple PDF docu
Perform OCR, translate, and answer questions from documents
Find similar sentences in your text using search queries
Search documents and retrieve relevant chunks
Visual RAG Tool
Analyze scanned documents to detect and label content
Find relevant text chunks from documents based on a query
Search... using text for relevant documents
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.