Extract information from text to identify entities and relationships
Extract information from documents by asking questions
Extract text from images using OCR
Extract handwritten text from images
Analyze legal PDFs and answer questions
AI powered Document Processing app
Extract text from images using OCR
Analyze PDFs and extract detailed text content
Find relevant passages in documents using semantic search
Find relevant legal documents for your query
Extract named entities from text
Query deep learning documents to get answers
Search for similar text in documents
The Kotaemon Template is an AI-powered tool designed to extract text from scanned documents. It leverages advanced OCR (Optical Character Recognition) and NLP (Natural Language Processing) technologies to identify and analyze text from scanned images or PDFs. The template is particularly useful for extracting structured information, such as entities and relationships, making it a valuable resource for data extraction tasks.
• Text Extraction: Accurately extracts text from scanned documents, including handwritten and printed text.
• Entity Recognition: Identifies and categorizes entities like names, dates, and locations within the extracted text.
• Relationship Identification: Detects relationships between entities, providing deeper insights into the document content.
• Multi-Language Support: Works with documents in multiple languages, making it a versatile tool for global use.
• High Accuracy: Utilizes state-of-the-art AI models to ensure high precision in text recognition and analysis.
• Integration-Friendly: Compatible with various workflows and systems for seamless integration into existing processes.
What file formats does Kotaemon Template support?
Kotaemon Template supports a wide range of file formats, including PDF, JPEG, PNG, TIFF, and BMP.
Can Kotaemon Template handle handwritten text?
Yes, Kotaemon Template is capable of extracting text from handwritten documents, though accuracy may vary depending on the quality of the handwriting and the image resolution.
Is the extracted data editable after processing?
Yes, the extracted text and identified entities can be edited or saved for further processing, making it easy to refine or integrate into other workflows.