Skip to main content

When to use OCR in DataSnipper

Understanding OCR and document status tags

What is Text Recognition (OCR)?

Optical Character Recognition (OCR) converts visible text in images and scanned documents into a format that a computer can process, enabling DataSnipper to extract and cross-reference that text accurately.

Document Status Tags

After importing a document, the Document Organizer shows one of five status tags. Use these to decide whether to run OCR:

  • Contains Text , A text layer was detected. OCR is not needed unless extraction is inaccurate.

  • OCR , OCR has already been applied. No further action needed.

  • No Text , No text was detected. Run OCR for better extraction results.

  • Corrupt , The document is detected as corrupted. Re-import a valid version or delete the file.

  • Missing file , Occurs during co-authoring when a user imported a local file that others cannot access.

When to Run OCR

  • When a document has the No Text tag

  • When a document has the Contains Text tag but text extraction is inaccurate

  • When you import images or scanned documents (DataSnipper will prompt you automatically)

How to Run OCR

Click the OCR button in the DataSnipper ribbon, then select Recognize (or Recognize and overwrite in versions before v4.1) for the selected documents.

Did this answer your question?