Convert images with text to searchable documents
Extract text from images
Upload and query documents for information extraction
Process text to extract entities and details
A token classification model identifies and labels specific
Parse documents to extract structured information
Extract named entities from text
Analyze documents to extract and structure text
GOT - OCR (from : UCAS, Beijing)
Identify and extract key entities from text
Search... using text for relevant documents
Traditional OCR 1.0 on PDF/image files returning text/PDF
Extract text from images using OCR
Markit GOT OCR is an advanced Optical Character Recognition (OCR) tool designed to extract text from scanned documents and images. It leverages cutting-edge AI technology to convert non-editable text in images into searchable and editable digital formats, making it ideal for enhancing productivity in document management tasks.
• High-Precision Text Extraction: Accurately extracts text from scanned documents, images, and PDFs.
• Multi-Format Support: Processes various file formats, including JPG, PNG, PDF, and more.
• Editable Output: Converts images into editable formats like TXT, DOCX, or PDF with text layers.
• Multilingual Support: Recognizes and extracts text in multiple languages.
• Quick Processing: Delivers fast and reliable results with minimal latency.
• User-Friendly Interface: Simplifies the process of uploading, processing, and downloading extracted text.
What formats does Markit GOT OCR support?
Markit GOT OCR supports a wide range of formats, including JPG, PNG, PDF, and more, ensuring compatibility with most common document types.
Can I edit the extracted text?
Yes, the extracted text is provided in an editable format, allowing you to modify or copy it as needed.
How long does the OCR process take?
The processing time depends on the size and complexity of the document, but Markit GOT OCR is designed to deliver fast and efficient results.