Image to text, also called OCR (optical character recognition), reads the letters inside a picture and turns them into editable, selectable text. The tool below runs OCR entirely in your browser, so you can upload a screenshot, scan, or photo and copy out the words without sending the image to any server.
What Image to Text (OCR) Is
OCR stands for optical character recognition. It is the process of taking an image that contains text, such as a scanned page or a screenshot, and converting the visual letters into machine-readable characters. A photo of a document is just pixels to a computer until OCR identifies which groups of pixels form an A, a B, a number, or a punctuation mark. Once recognized, the text can be copied, searched, edited, and pasted into any other program.
How to Use It
- Press the file button and choose an image that contains text, such as a screenshot, scan, or photo.
- Press Extract Text. On the first run the OCR engine downloads, so allow a moment for it to load.
- Wait while the tool recognizes the text. A progress message shows how far along it is.
- Read the extracted text in the box, then select and copy it into your document or notes.
- If the result has errors, try a sharper, higher-contrast image and run it again.
How OCR Works (Text Recognition)
What Affects Accuracy
| Factor | Effect on accuracy |
|---|---|
| Resolution | Higher-resolution images give the engine more detail per character, which improves recognition. |
| Contrast | Dark text on a light background reads best. Low contrast and busy backgrounds cause errors. |
| Fonts | Clean, standard print fonts are recognized reliably. Decorative or stylized fonts are harder. |
| Handwriting | Handwriting is the hardest case and is often misread. OCR is built mainly for printed text. |
Languages and Limitations
This tool recognizes English text. OCR works best on printed characters laid out in clear lines. It can struggle with rotated or skewed pages, very small type, faded scans, columns that overlap, and text placed over images. Tables and complex layouts may come out with the words in an unexpected order, because the engine reads visually rather than understanding page structure. For documents that matter, always check the extracted text against the original before you rely on it.
Your Image Stays Private
This tool runs OCR locally in your browser. The image you select stays on your device and is never uploaded to a server. The only thing that downloads is the OCR engine itself, which loads once on the first run and is then reused. Because the recognition happens on your own machine, you can extract text from private screenshots, receipts, or documents without sending them anywhere.
When to Use It
Reach for OCR whenever the text you need is locked inside an image. Common cases include copying text out of a screenshot, pulling a quote from a scanned page, capturing a code or address from a photo, or making an image-only PDF searchable. It saves you from retyping by hand and turns a static picture into content you can edit and reuse.
Last Thoughts on Image to Text
OCR removes the busywork of retyping text that already exists in an image. The engine reads the characters for you, and a quick proofread fixes the rare misreads. Because this tool works entirely in your browser, the image never leaves your device, which makes it safe for private documents.
Once you have the text, you may want to clean it up or measure it. Try our word counter to check length, or if you are working with the original image, our image converter and image compressor. Explore the rest of our free online tools.
Key Takeaways:
- OCR converts the text inside an image into editable, selectable characters you can copy and reuse.
- This tool runs entirely in your browser, so your image stays on your device and is never uploaded.
- The OCR engine downloads once on the first run, which is why the first extraction takes a little longer.
- Accuracy depends on resolution, contrast, and font; clear, high-contrast printed text reads best.
- Handwriting and stylized fonts are the hardest cases and are often misread.
- Always proofread the extracted text against the original before you rely on it.
Frequently Asked Questions (FAQs)
What does image to text (OCR) do?
It reads the text inside an image and converts it into machine-readable characters you can copy, search, and edit. Instead of retyping the words in a screenshot or scan by hand, you upload the image and the tool outputs the text for you.
Is my image uploaded to a server?
No. The recognition runs entirely in your browser, so the image stays on your device and is never sent anywhere. The only thing that downloads is the OCR engine itself, which loads once on the first run and is then reused.
Why is the first run slow?
The OCR engine has to download to your browser the first time you use it. After that initial load it is cached, so later extractions start much faster. The recognition step itself also takes a little time, which the progress message tracks.
Why is the extracted text wrong in places?
OCR accuracy depends on the image. Low resolution, poor contrast, stylized fonts, skewed pages, and handwriting all cause misreads. For a better result, use a sharper image with dark text on a light background, and always proofread the output against the original.
Can it read handwriting?
Handwriting is the hardest case for OCR and is often misread. The engine is built mainly for printed text, where characters follow consistent shapes. You may get usable results from very neat handwriting, but expect errors and check the output carefully.
What image formats can I use?
You can use common image formats such as PNG, JPG, and similar files that your browser can display. Screenshots, scans, and photos all work. For the best result, choose the clearest, highest-contrast version of the image you have.
