How TableFlow Works

The first step is getting your documents into the system. TableFlow supports multiple ingestion methods to fit your workflow:

• Manual upload

  Drag and drop files directly into the platform's web interface.

• Email integration

  Forward emails with attachments to a dedicated email address.

• Cloud storage connectors

  Connect to Google Drive, Dropbox, OneDrive, and more.

• API integration

  Programmatically send documents using our RESTful API.

Once documents are ingested, our AI engine goes to work, extracting structured data without requiring predefined templates:

• Latest AI models

  Leverages state-of-the-art AI models that can be combined for optimal results.

• Layout detection

  Intelligently identifies document structure, tables, and visual elements.

• Data extraction

  Pulls structured data from unstructured documents with high accuracy.

• Batching for large files

  Efficiently processes high-volume document sets with parallel processing.

Extracted data goes through validation to ensure accuracy and handle exceptions appropriately:

• Automated validation

  Cross-checks data against business rules and validates against expected formats.

• Exception flagging

  Identifies discrepancies or low-confidence extractions for human review.

• Human-in-the-loop review

  Intuitive interface for reviewing and correcting flagged items when necessary.

• Feedback loop

  Corrections are fed back to the AI to improve future extraction accuracy.