Does Mac Have OCR? Live Text and Preview Explained (and Their Limits)

Yes, every Mac has built-in OCR (optical character recognition), so it can read text in pictures without any extra software. Apple calls it Live Text, and it has shipped with macOS since Monterey (version 12). It's genuinely good. But it only works in a handful of places, and it has two blind spots worth knowing before you rely on it.

Where Live Text works on a Mac

Live Text is built into Apple's own apps:

• Preview: any screenshot, photo or image-based PDF page you open. This is where most people use it.
• Photos: pictures in your library.
• Quick Look: press Space on an image in Finder.
• Safari: text inside images on web pages.
• Paused video (macOS Ventura and later): in some of Apple's players. Reports differ on exactly which (Photos and QuickTime Player are the most consistent), and it doesn't work in Chrome or most third-party players.

How to copy text from an image in Preview

1. Open the image in Preview.
2. Hold the pointer over the text. When it turns into a text cursor, drag to select. If it won't select, choose Tools > Text Selection.
3. Press ⌘C, or Control-click and choose Copy Text. Then paste anywhere.

Photos and Safari work the same way: hover, drag, copy. If nothing happens at all, check System Settings > General > Language & Region and make sure Live Text is on. Apple notes it isn't available in every language or region.

We tested it: prose is great, code isn't

Live Text uses Apple's Vision text-recognition engine. We ran that same engine (the accurate setting, with language correction on, which is the closest match to Live Text) on two screenshots.

A web article. The result was essentially perfect: every word, the "93°C" and the en dash in "30–45 seconds" all came through. For ordinary text, the built-in OCR is all most people need.

A JavaScript file in a code editor. This is where it falls apart:

export async function addToCart(item, qty = 1) {
const cart = await loadCart();
const existing = cart.items.find((i) => i.id === item.id);
if (existing) {
existing.qty += aty;
} else {
cart.items.push(f ...item, qty });
}
if (cart.items.length > 50) {
throw new Error"Cart is full");
}
return saveCart (cart);
}

Three things went wrong, and they're typical:

1. All indentation is gone. OCR returns lines of text, not layout. For Python or YAML that alone breaks the code.
2. Language correction "fixes" code. It treats code like English, so qty became aty, ({ became (f and a ( vanished.
3. Spacing drifts. saveCart(cart) became saveCart (cart).

There's more on why this happens in why OCR breaks code.

The limits of the built-in OCR

You want to copy text from…	Live Text?
A screenshot or photo (open it in Preview)	Yes
An image on a web page in Safari	Yes
An image in Chrome, Slack, Discord or Figma	No. Save it and open it in Preview first
A paused YouTube video in Chrome	No
A Zoom or Teams screen share	No
A remote desktop, VM or game window	No
A whole scanned PDF, made searchable	No, only page by page
Code you want to paste and run	Partly: the text arrives, the indentation doesn't

The pattern: Live Text works on files inside Apple's apps. Anything that's just pixels on your screen in another app is out of reach, unless you take a screenshot, open it in Preview and select from there. That works, but it's four steps every time.

When to use something else

If you regularly copy text from places Live Text can't reach, a screen OCR app is faster: press a shortcut, drag over any part of the screen, and the text is on your clipboard. Screenshot Text does this with the same on-device Apple engine, so nothing is uploaded. Press ⌘⇧7 in any app, including videos, shared screens, remote desktops and games.

For code, turn on Optimize for code. A small AI model runs on your Mac and restores the indentation and the characters OCR got wrong. On the JavaScript above it returned the function exactly as written, indentation and all, in about nine seconds. Leave it off for ordinary text: the repair model is tuned for code, and in our tests it mangled prose by turning sentences into code comments.

It's free for 5 captures a day, which is enough to see whether it's worth it for you.

Comparing Mac OCR apps? See the best OCR for Mac, or how Screenshot Text compares with TextSniper.