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Example post: How OCR changes what 'redacted' means

Jan 1, 2026 · Engineering · Placeholder Name

[Example content] A huge share of the documents that need redaction aren't native text at all — they're scans, photos of paper forms, or PDFs generated from an image. Without OCR, none of that content is even visible to an automated detector.

Text that isn't text

A scanned page looks the same as a native PDF page to a human reader, but to software it's just a grid of pixels until something extracts the text layer. Skip that step and a detector has nothing to search.

Where accuracy actually matters

OCR accuracy on a clean, high-resolution scan is a solved problem. The harder cases are the ones real-world documents actually produce: skewed pages, low-contrast copies, handwriting mixed with print, and multi-column layouts.

This is why treating OCR as a preprocessing checkbox undersells it — the quality of that step sets a ceiling on what the redaction step downstream can possibly catch.