Kotaemon Template

What is Kotaemon Template ?

Kotaemon Template is an AI-powered tool designed to extract text from scanned documents and identify entities and relationships within the text. It is particularly useful for automating data extraction tasks from unstructured or semi-structured documents, such as invoices, receipts, contracts, and more.

Features

• Text Extraction: Accurately extracts text from scanned documents, including handwritten and printed content.
• Entity Recognition: Identifies and categorizes key entities such as names, dates, addresses, and organizations.
• Relationship Mapping: Detects and maps relationships between extracted entities.
• Multi-Language Support: Works with documents in multiple languages.
• High Accuracy: Leveraging advanced AI models to ensure precise extraction and recognition.
• Automation Friendly: Integrates seamlessly with workflows to automate data processing tasks.
• File Compatibility: Supports various document formats, including PDF, JPEG, PNG, and more.

How to use Kotaemon Template ?

1. Upload Your Document: Import the scanned document into the tool.
2. Select Settings: Configure any specific settings for language or entity types.
3. Run Extraction: Initiate the extraction process to analyze the document.
4. Review Results: Examine the extracted text, entities, and relationships.
5. Export Data: Save or export the extracted data for further use.

Frequently Asked Questions

What types of documents does Kotaemon Template support?
Kotaemon Template supports a wide range of document formats, including PDF, JPEG, PNG, TIFF, and more, making it versatile for various use cases.

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 scan.

What industries can benefit from Kotaemon Template?
Kotaemon Template is particularly useful in industries such as finance, healthcare, legal, and retail, where extracting data from documents is a common task.