What is Optical Character Recognition (OCR)

Optical Character Recognition (OCR) is a technology that converts text inside scanned documents, images, or non-searchable PDFs into machine-readable text.

When a document is scanned, it becomes a flat image. Even if you can see the words, your computer cannot recognize them as text. This means you cannot search, highlight, copy, or accurately analyze the content.

OCR solves this problem by detecting characters within the image and reconstructing them into a searchable text layer. Once OCR is applied, the document behaves like a true digital file rather than a static picture.

Why It Matters

Without OCR, a scanned document remains a static image. Any redaction applied to it risks being incomplete or superficial if the underlying text layer does not exist.

OCR plays a critical role in accurate redaction and document processing by:

• Making scanned PDFs searchable: Enables keyword search within previously image-based documents.
• Allowing text selection and analysis: Converts visible text into machine-readable data.
• Improving AI detection accuracy: Gives AI-powered tools real text to analyze instead of relying on visual estimation.
• Enabling permanent redaction: Ensures sensitive data is properly removed from the document layer, not just visually covered.
• Reducing manual effort: Eliminates the need to retype or manually review image-based documents line by line.

OCR vs. Static Image Files

Before OCR became widely used, organizations had limited options when handling scanned documents:

• Manually retype information.
• Review image files visually without search capability.
• Apply visual masking that could potentially be reversed.
  
  

OCR removes these limitations by transforming image-based files into intelligent, searchable documents.

Many basic redaction tools rely on surface-level masking or separate OCR engines.

Redactable combines AI-powered OCR, sensitive data detection, and secure document scrubbing in one integrated workflow. This approach improves detection accuracy and ensures that redactions are permanent and compliant.

How OCR Works in Redactable

Redactable integrates OCR directly into its redaction workflow to ensure scanned documents are properly processed before sensitive information is detected and removed.

When a non-searchable PDF is uploaded:

1. The system analyzes the document to determine whether a machine-readable text layer exists.
2. If the document is image-based, OCR reconstructs the text into a searchable format.
3. The newly created text layer allows AI-powered detection tools to accurately identify names, dates, financial data, case numbers, and other sensitive information.
4. Redactions are then applied to the actual text layer and permanently removed during document export.
   
   

This process ensures that redactions are not simple visual overlays. Instead, sensitive information is securely removed from the document’s underlying structure.

If you have additional questions or need help, please contact us at support@redactable.com.