TableFlow
visualization
transparency
document-processing
data-extraction
verification

Visual Attribution: See Where Your Data Comes From

Discover how Visual Attribution adds transparency to document extraction by showing exactly where data originates in PDFs and images with color-coded highlights.

MP
Mitch Patin
CEO & Co-Founder
3 min read
Visual Attribution: See Where Your Data Comes From

At TableFlow, we understand that accurate data extraction is essential—especially when working with complex documents like PDFs or images. That's why we're excited to introduce Visual Attribution, a feature that adds transparency, trust, and clarity to your automated workflows.

Visual Attribution allows you to see exactly where your extracted data comes from within a document. Whether you're processing PDFs, scanned images, or photos, TableFlow highlights the precise regions in the document where data was pulled. This eliminates any guesswork, making it easy to verify the accuracy of your results and streamlining your data review process.

How Visual Attribution Works

With Visual Attribution, TableFlow overlays color-coded highlights directly on your documents, showing the exact locations of extracted data. Whether you are working with structured invoices or unstructured contracts, you can quickly identify the source of each data point. Clicking on an extracted field instantly pinpoints its origin within the document, creating a seamless connection between the data and its source.

Confidence Scores

Color-coded accuracy indicators:

High confidence
Medium confidence
Low confidence

Click-to-Zoom

Magnify specific regions of dense or complex documents for closer inspection.

Side-by-Side View

View the original document alongside extracted data with synchronized highlights.

Universal Compatibility

Works with PDFs, scanned images, photographs, and more document types.

Why Visual Attribution Matters

Without Visual Attribution, verifying extracted data from PDFs or images can be tedious and prone to errors. For industries like finance, insurance, and healthcare, this can result in compliance risks, costly mistakes, and inefficiencies.

From bounding box visualization to precise coordinate mapping, this feature ensures that your data extraction is not only accurate but also easy to audit, debug, and optimize. By showing exactly where each data point was sourced, Visual Attribution simplifies training model templates and enhances trust in your automated results.

Key Takeaways

  • • Visual Attribution shows exactly where data originates in documents
  • • Color-coded confidence scores enable quick accuracy assessment
  • • Click-to-zoom and side-by-side views streamline verification
  • • Universal compatibility across PDFs, images, and photos
  • • Essential for compliance, auditing, and template optimization

In Summary: Visual Attribution is more than just a feature—it's a smarter, more transparent way to ensure your data extraction is always reliable and efficient. Ready to see the difference? Try TableFlow today and experience how Visual Attribution can transform your document workflows!

Frequently Asked Questions

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About Mitch Patin

CEO & Co-Founder at TableFlow. Expert in operations automation, AI-powered document processing, and building scalable B2B software.

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