How to Copy Text from Images and Screenshots on Mac

Copy text from a Mac image with Preview Live Text, or extract screenshot text with Notchy. Learn which method to use and how to check OCR mistakes.

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To copy words out of an image on a Mac, try Preview’s Live Text first. If your source is an error dialog, a slide, or an image you just copied, Notchy’s clipboard OCR offers another route. Both workflows turn visible words into editable text; neither guarantees an exact transcription.

Choose a method for the source you have

  • A paragraph in a webpage or document: try ordinary text selection first.
  • A saved photo or screenshot: open the image in Preview and try Live Text.
  • Text currently visible on screen: capture the relevant region and recognize the image in Notchy.
  • A long scanned document: consider a document OCR tool if you need page structure or batch processing.

For example, a screenshot of a build error may be enough to paste the message into a bug report. If the original terminal text is still available, copying directly preserves it more reliably. Use OCR when selection is unavailable, rather than adding a screenshot step to every copy operation.

Copy text with Preview’s Live Text

  1. Open the image in Preview.
  2. Move the pointer over the words and drag to select them.
  3. Control-click the selection and choose Copy Text, then paste into your destination.

If selection does not appear, try Tools → Text Selection. Live Text availability depends on the image and your system. Apple describes this workflow in its Preview Live Text guide. For a one-off image, this built-in path may be all you need.

Extract screenshot text with Notchy

Copy the image, then open Notchy’s Clipboard tab and use text recognition on that image entry. Notchy processes the image locally with Apple’s Vision framework. The recognized result is selectable text you can copy into a note, message, or search field. The OCR feature page covers the tool in detail.

For a region on screen, Notchy’s capture tool opens the macOS region selector and puts the resulting screenshot on the clipboard. Capture only the area you need: a compact error message is easier to review than a full desktop containing several unrelated windows.

Notchy can also search recognized words inside retained clipboard images. That helps when you remember the wording of a screenshot but not its filename. Retention still matters: a screenshot removed from history cannot be found there. See the clipboard feature page for history and search behavior.

Check the result before using it

Compare names, numbers, punctuation, and line breaks against the source. Pay particular attention to characters that look alike, such as a capital I and a lowercase l. A sentence that reads smoothly can still contain the wrong account number or filename.

For code and shell commands, review indentation, quotes, slashes, and operators before running anything. If small text is misread, obtain a clearer source image or enlarge the original content before capturing it again. Enlarging an already blurry image cannot restore detail that was never captured.

Know what OCR will not preserve

Recognized text is useful for copying words, but it is not the same as reconstructing a table, presentation, or formatted document. Keep the image when its visual layout matters. Our file handoff guide explains how to move that screenshot alongside the extracted text.

If you need repeated region capture, annotation, or document scanning, compare Mac OCR apps by those requirements. Choose the workflow around the output you need, rather than expecting one recognition button to reproduce the entire source.

Common questions

Can I copy text from a Mac image without installing an app?

Try opening the image in Preview and selecting the words with Live Text. If the text is recognized, Control-click the selection and choose Copy Text. Availability depends on your system and the image.

Does Notchy upload images for OCR?

Notchy’s image text recognition uses Apple’s Vision framework on your Mac. That OCR operation does not require uploading the image to a recognition service.