Convert images with text to searchable documents
Find relevant text chunks from documents based on a query
Process text to extract entities and details
Analyze scanned documents to detect and label content
Find information using text queries
Extract text from images
Parse and extract information from documents
Process and extract text from images
Compare different Embeddings
Using Paddleocr to extract information from billing receipt
Search for similar text in documents
Search documents using text queries
Extract named entities from medical text
Markit GOT OCR is a powerful Optical Character Recognition (OCR) tool designed to extract text from scanned documents and images. It leverages advanced AI technology to convert images containing text into searchable and editable documents, making it an essential tool for digitizing paper-based content.
• High Accuracy: Precise text recognition even in low-quality images.
• Multi-Language Support: Recognizes text in multiple languages.
• Fast Processing: Quickly converts images to text in seconds.
• User-Friendly Interface: Easy to use with intuitive navigation.
• Integration Capabilities: Works seamlessly with other productivity tools.
What file formats does Markit GOT OCR support?
Markit GOT OCR supports common formats like PDF, JPEG, PNG, and BMP.
Can Markit GOT OCR handle multiple languages?
Yes, it supports text extraction in multiple languages, including English, Spanish, French, German, and more.
Is my data secure when using Markit GOT OCR?
Yes, your documents are processed securely, and all data is deleted after processing to ensure privacy.