Improved complex table extraction

We've optimized our generative AI models to extract data from even the most complex table structures. 

The models excel at processing documents like dangerous goods declarations (see illustration), where companies use widely varying table layouts, and naming conventions. The system adapts to varied table structures including merged cells, nested headers, and custom field labels while maintaining extraction accuracy. Whether tables span multiple pages, use unconventional layouts, or mix structured data with free-form text, the models extract complete information reliably.

Clients can fine-tune these models on their specific documents, teaching the system to recognize their unique table structures and terminology. This creates highly specialized extractors that understand your exact document formats and business logic.