Extraction pulls text from native files. Text-based formats yield content directly, while image-based files require optical character recognition. Extraction quality determines what is searchable.

Extracted text is stored alongside the native file and is produced with it in most formats.

Alternative Names:

Text Extraction, Document Text

Why it Matters?

Search operates on extracted text, so extraction failures make documents invisible regardless of their content. This is the mechanism behind most silent gaps in e-discovery: a scanned contract that OCR handled poorly will not surface for any search term it contains. Reviewing extraction quality on a sample, particularly for image-heavy and handwritten material, is a basic quality control step that is frequently skipped.

Frequently asked questions

Why does extraction quality matter?

Why does extraction quality matter?

Because search runs on extracted text. A document whose text was not captured is invisible to every search term it contains.

Which files present extraction problems?

Which files present extraction problems?

Scanned images, poor-quality faxes, handwritten material, and files with complex layouts where OCR produces incomplete or inaccurate text.