The Extractions API allows you to upload documents and extract structured data using AI-powered templates. TableFlow supports various document types including PDFs, images, spreadsheets, and more.

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Key Features

  • Multi-format support: Extract from PDFs, images (PNG, JPG), spreadsheets (CSV, Excel), and documents
  • Template-based extraction: Use pre-configured templates to define what data to extract
  • Automatic template selection: Let TableFlow choose the best template for your document
  • Table detection: Automatically detect and extract tables from documents
  • Field validation: Built-in validation for extracted data

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Common Use Cases

  • Invoice processing
  • Purchase order extraction
  • Form data extraction
  • Spreadsheet data transformation
  • Document digitization

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Extraction Workflow

1

Upload Document

Upload your document using the upload endpoint

2

Processing

TableFlow processes your document using the specified template

3

Retrieve Data

Get the extracted data using the extraction endpoint

4

Access Tables

Retrieve table data using the table rows endpoint

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Extraction Status

Extractions go through several status states:

  • processing - The document is being processed
  • completed - Extraction completed successfully
  • failed - Extraction failed (check the error field)

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Webhooks

You can receive real-time notifications when extractions complete or fail. The webhook events are:

  • extraction.status.completed - Fired when extraction completes successfully
  • extraction.status.failed - Fired when extraction fails

Learn more in the webhooks documentation.

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Next Steps