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Tygra is a privacy-first AI document processing tool designed to convert unstructured documents into accurate, structured data while ensuring complete data privacy by running entirely on the user's own infrastructure. Built with advanced AI models that prioritize privacy and security, Tygra supports multiple file formats including PDF, JPG, and PNG. Unlike traditional OCR tools, Tygra understands document layouts, context, and complex data relationships, enabling reliable extraction and validation of information according to business rules and compliance requirements. It is ideal for organizations with strict privacy and compliance needs across industries such as finance, logistics, insurance, healthcare, legal, and education. Tygra is developed to serve workflows that require high accuracy and data sovereignty, making it suitable for enterprises that cannot compromise on data privacy.
4.7/5
Highly accurate and context-aware
Functional and enterprise-focused
To provide privacy-first, highly accurate AI-powered document processing on local infrastructure.
Runs on dedicated local infrastructure, fitting enterprise environments with strict data sovereignty requirements.
Custom pricing based on deployment and enterprise needs, typically requiring dedicated infrastructure investment.
Features with the highest value for users are highlighted here.
Local infrastructure processing
High accuracy data extraction
Support for PDF, JPG, PNG formats
Contextual document understanding
Data validation against business rules
Privacy-first design
Open-source AI models
Industry-specific use cases
Financial Institutions
Healthcare Providers
Legal Firms
Insurance Companies
Logistics Companies
Enterprises with Compliance Needs
IT and Infrastructure Teams
Data Privacy Officers
Educational Institutions
Mid to Large Enterprises
Enterprise
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