Multi-Table Recognition
Automatically identify and extract data from multiple tables within a single document using advanced AI technology.
Automatically identifies all tables in a document, including nested and complex layouts.
Understands relationships between tables and maintains data hierarchy.
Configure extraction rules for different table types and structures.
Process multiple tables simultaneously with optimized algorithms.
How It Works
Scans the entire document to identify potential table regions and structures.
Use Cases
Extract data from multiple tables in financial statements and reports.
Process product catalogs with multiple tables of specifications and pricing.
Extract data from multiple research tables and statistical analyses.
Pro Tips for Best Results
- • Maintain consistent table formatting
- • Use clear table headers
- • Avoid merged cells when possible
- • Keep table structures simple
Ready to Try Multi-Table Recognition?
Experience the power of automatic multi-table recognition with a personalized demo of TableFlow.