Convert images with text to searchable documents
Find similar text segments based on your query
Search and summarize documents with natural language queries
Employs Mistral OCR for transcribing historical data
Next-generation reasoning model that runs locally in-browser
Extract text from PDF and answer questions
GOT - OCR (from : UCAS, Beijing)
Extract text from documents
Process text to extract entities and details
Search documents for specific information using keywords
Find relevant text chunks from documents based on a query
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Search documents and retrieve relevant chunks
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.