How to Extract Text from an Image on Windows and Mac (in Any Browser)

OCR guide · 5 min read

You snapped a photo of a receipt, a slide, or a page from a book, and now you need the words as editable text. Retyping is slow and error-prone. The good news: both Windows and macOS ship with built-in ways to pull text out of an image, and if you spend most of your day in a browser, you can do it without leaving the web page at all. Here is how each option works, where each one falls short, and how to get clean results on any operating system.

The built-in options on Windows

Modern Windows has two native tools that handle image text, and neither needs an install if you are on a recent version.

Snipping Tool (Windows 11)

1. Press Win+Shift+S to capture the part of the screen showing your image, or open a saved image in the Snipping Tool app.
2. Click Text Actions in the toolbar. The tool highlights the text it detects.
3. Select the text you want, then right-click and choose Copy text. There is also a Copy all text option.

This works well for screenshots and clean documents. The limit: Text Actions is a Windows 11 feature, so Windows 10 users do not have it, and recognition quality drops on low-resolution or heavily stylized images.

PowerToys Text Extractor

Microsoft's free PowerToys utility adds a system-wide extractor. After installing PowerToys, press Win+Shift+T, drag a box over any text on screen, and it lands on your clipboard. It runs on Windows 10 and 11 and works anywhere, but it is a separate download you have to manage and update.

The built-in option on macOS: Live Text

Apple's Live Text recognizes text inside images across the system, with no extra app to install (macOS Monterey and later, on supported hardware).

1. Open the image in Preview, Photos, or use Quick Look (select the file in Finder and press the Space bar).
2. Move your pointer over the text. The cursor changes to a text-selection beam.
3. Click and drag to select, then press Cmd+C to copy, or right-click for options.

Live Text is fast and genuinely good on photos. Its limits: it depends on a supported Mac and macOS version, it covers a set list of languages, and it is tied to Apple's own apps rather than the browser where you often find the image in the first place.

When a browser-based tool is more convenient

The OS tools are solid, but they all involve leaving the page: save the image, switch apps, then come back. If the image is already open in a browser tab, a browser extension keeps everything in one place, and it behaves identically on Windows, macOS, Linux, and ChromeOS, so you learn one workflow instead of two.

Textquill is one such option. It is a free Chrome extension (it also runs in Chromium browsers like Edge and Brave) that does OCR on your device, so images are never uploaded to a server. Here is the flow:

1. Right-click an image on any web page and choose Extract text. The recognized text opens ready to copy.
2. Capture a region of the screen by pressing Alt+Shift+S and dragging a box, handy when the text is inside a PDF, a video frame, or a canvas element you cannot right-click.
3. Upload, drag, or paste an image file directly into the extension.

It supports 16 languages, can read the extracted text aloud, and lets you export the result. Because the recognition runs locally, it also works offline.

OS built-in vs online site vs browser extension

Three broad approaches, each with a trade-off. OS built-in tools (Snipping Tool, PowerToys, Live Text) are free and process everything on your machine, but they differ between Windows and Mac and pull you out of the browser. Online OCR sites need no install and run anywhere, but you typically upload your image to a stranger's server, which is a poor fit for anything private, and they need a connection. Browser extensions like Textquill sit between the two: they work inside the page on every OS, and the on-device ones keep your images local like the built-in tools do. Pick the OS tool when you are working in a native app, an online site for a quick one-off, and an extension when you live in the browser or care about privacy.

Tips for accurate results (any method)

OCR quality depends far more on the image than on which tool you use. A few habits help everywhere:

• Use a sharp, high-resolution source. Blurry or tiny text is the number one cause of errors. Zoom in before you capture rather than after.
• Keep good contrast. Dark text on a light background reads best. Avoid busy backgrounds behind the words.
• Crop tight. Trim to just the text you need so the engine is not distracted by logos, borders, or photos.
• Set the correct language. If a tool lets you pick a language, choosing the right one sharply improves accuracy, especially for accented characters and non-Latin scripts.
• Straighten it. Rotate skewed or tilted text upright before extracting.

A note on privacy

Not all methods are equal here. Windows Snipping Tool, PowerToys, and macOS Live Text all process images on your own device. Many free online OCR websites, by contrast, upload your image to be processed remotely, so avoid them for anything sensitive like IDs, invoices, or contracts. If you want the convenience of a browser tool without the upload, choose an extension that states it does OCR on-device, as Textquill does.

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