How To Extract Text from Images in Excel: An Easy Step-by-Step Guide

Ever been stuck with an image full of important text and no easy way to get it into Excel? Kind of annoying, right? Especially when you’re dealing with scanned documents, receipts, or even screenshots of data. Well, luckily, recent versions of Excel (2019, Office 365, and beyond) have an OCR feature built right in—called “Insert Data from Picture”—which can save a ton of time. But, here’s the thing: it’s not perfect, and sometimes it needs a little nudge to work properly. So, if your text isn’t coming out clean or the feature just isn’t showing up, there are some tricks worth trying to get things flowing smoothly.

How to Extract Text from Image in Excel

Make sure your Office is up-to-date and ready

First off, check you’ve got the latest version of Excel, because that’s when the feature showed up—otherwise, it just won’t be there. Go to File > Account > Update Options > Update Now. If you’re still missing it, maybe your Office isn’t current or you’re on an older build that doesn’t support it. Also, ensure your image is actually saved locally on your PC (not just a screenshot in the cloud), as sometimes the recognition has trouble with web-based images or screenshots pasted directly from clipboard.

Ensure the feature is enabled and easily accessible

It might seem obvious, but double-check that the feature isn’t hidden. In Excel, go to the Data tab—look for Insert Data from Picture. If it’s not there, you can customize the ribbon: File > Options > Customize Ribbon, and add it under the Data tab. Sometimes, having it front and center helps avoid the “Where the hell is that OCR thing?” panic.

Check your image quality and format before importing

Low-res, blurry, or poorly lit images are a nightmare for OCR—no surprise. Make sure your image is clear, well-lit, and not overcrowded with background clutter. A quick fix if you’re stuck—open the image in a basic editor (like Paint or Photos), crop out unnecessary stuff, and increase contrast if possible. Save as PNG or JPEG—Excel’s OCR is pretty flexible, but avoiding weird formats like GIF or BMP might help.

Use the feature and troubleshoot when it fails

Pop to Data > From Picture. Select your image file, and let Excel process. You should see a preview of what it’s about to import. If it looks all garbled or nothing shows up, try this:

  • Make sure the image is in the proper folder—sometimes moving it to your Desktop or Documents makes a difference.
  • If the preview is blank or incorrect, try re-scanning it. On some setups, Excel’s OCR might hiccup initially—repeating the process often helps.
  • Clean the image further; sometimes, reducing noise or sharpening the text helps OCR do its job.

On some machines, this can act flaky when run the first time—after a reboot, or updating Office, things tend to smooth out. Also, if you get errors saying OCR can’t process, it’s worth trying to open the image in Paint or Photos, then save it again—sometimes, simple re-saving can fix weird compatibility hiccups.

Improve accuracy with pre-processing

Didn’t quite get a perfect scan? No worries. You can fix it up a bit with free image editors (GIMP, Paint. NET).Increasing contrast, converting to black and white, or sharpening the image can really boost the OCR accuracy. The reason: OCR works better with high-contrast, clean images. Relying on blurry or colored backgrounds just makes it harder for Excel to read what’s inside.

Final tip: Update Office and check add-ins

If things still aren’t working, make sure your Office suite is fully updated—sometimes bugs are fixed in newer releases. Also, disable any third-party add-ins that might conflict with Office features—you can do this by going to File > Options > Add-ins. Disable any suspicious ones, restart Excel, and try again.

Remember, because of course, Windows has to make it harder than necessary. Not every image will get perfect results the first time, and OCR isn’t magic—sometimes you might just need to do a little manual cleanup afterwards, especially if the image’s quality isn’t optimal. But practice makes perfect, and these tweaks have helped quite a few folk get better results.