Stuck retyping words from a screenshot, a scanned receipt, or a photo of a whiteboard? Optical character recognition (OCR) reads the letters inside an image and hands them back to you as editable text you can copy, search, and paste. This guide shows you how to convert an image to text for free in your browser, how to get cleaner results, and how to tidy up the output afterward.
What Image to Text (OCR) Actually Does
OCR scans the pixels in a picture, recognizes the shapes of letters and numbers, and outputs plain, selectable text. Instead of squinting at a JPG and typing every line by hand, you upload the file and the Image to Text tool returns the words for you.
It works well on screenshots of articles, scanned documents, slides, signs, business cards, and photos of printed pages. The free, browser-based approach means there is no software to install and no account to create. You open the page, drop in your file, and get text back in seconds, on a phone, tablet, or laptop.
A quick note on file types: most online OCR tools accept common image formats. If your picture is a HEIC photo from an iPhone, convert it first with HEIC to JPG. If you need to read text out of a PDF instead of an image, use PDF to Text, which is built for document files.
How to Convert an Image to Text
Follow these steps to extract text from any image:
That is the whole process. Because the work happens on a normal web page, you can repeat it as many times as you like at no cost.
Tips for Better OCR Accuracy
OCR is only as good as the image you feed it. A blurry, tilted, or dark photo forces the engine to guess, and guesses become typos. Use these tips to get cleaner text on the first try:
The table below shows what tends to help or hurt recognition.
| Factor | Helps Accuracy | Hurts Accuracy |
| --- | --- | --- |
| Lighting | Even, bright | Shadows, glare |
| Text type | Clean printed font | Handwriting, decorative type |
| Alignment | Straight, horizontal | Tilted, curved pages |
| Contrast | Dark text, light background | Faded, low contrast |
| Image quality | Sharp and in focus | Blurry or pixelated |
Cleaning Up the Extracted Text
Even good OCR output usually needs a light edit. Watch for a few common slip-ups: the letter O read as a zero, a lowercase l read as the number 1, broken line breaks in the middle of sentences, and stray spaces.
After you paste the text, read it once against the original image and fix anything that looks off. To speed this up, you can run the result through a Grammar Fixer to catch obvious errors, or use a Sentence Rewriter if you want to smooth out choppy passages. If you only need a quick overview of a long document, a Content Summarizer can condense the extracted text for you. Want a quick total of how much text you pulled out? Drop it into the Word Counter.
Frequently Asked Questions
Is the image to text tool free?
Yes. The browser-based OCR tool is free to use with no sign-up required, and you can convert as many images as you need.Will my uploaded images stay private?
Files are processed for your conversion and are deleted automatically within an hour. You are not asked to create an account, so there is no profile tied to your uploads.Can it read handwriting?
OCR is built for printed text and performs best on clean fonts. Neat handwriting may work, but messy or stylized writing often produces errors, so always proofread the result.What image formats are supported?
Common formats like JPG and PNG work well. If you have an iPhone HEIC photo, convert it with HEIC to JPG first, then upload the result.Why is the extracted text wrong in places?
Poor lighting, blur, tilt, low contrast, or tiny text all reduce accuracy. Improve the image first with cropping or sharpening, then re-run the conversion and edit any remaining typos.Converting an image to text takes only a few seconds, and with a clean source image plus a quick proofread you will have accurate, editable copy ready to use.