Extract text from images online with free OCR. Turn screenshots, receipts and scanned documents into editable, searchable text in seconds.

A photo of a receipt, a screenshot of an error message, a scanned contract page — text locked inside an image is text you cannot search, copy or edit. OCR, short for optical character recognition, reads that text for you. An online image OCR tool turns pictures of words back into actual words you can use. Students digitise lecture slides, freelancers pull text from client mockups, and travellers translate photographed signs — all without retyping a single character.

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h2>Everyday uses for OCR

• Receipts and invoices: extract totals and dates for expense tracking without retyping.
• Screenshots: copy error messages to search for solutions.
• Documents: digitise printed pages quickly.
• Whiteboards and signs: capture notes from meeting photos.
• Business cards: pull contact details straight into your address book.
• Old books and archives: preserve printed material as searchable text for research or records.

How to extract text from an image

1. Open the OCR tool and upload a clear image.
2. Select the text language if the tool asks.
3. Run the recognition and wait a few seconds.
4. Copy the extracted text and proofread it before using.

Getting accurate results

OCR accuracy lives and dies on image quality. A sharp, well-lit photo of straight, high-contrast text can be near-perfect; a blurry, tilted snapshot of handwriting will struggle. For best results, make sure the text fills a good portion of the frame and straighten skewed photos first. Always proofread — OCR confuses similar characters like 0 and O, or 1 and l, more often than you would expect. If the image is unnecessarily large, compress it sensibly first so the upload is quick, without making the text unreadable.

Honest limitations

OCR is not magic. Handwriting, decorative fonts, low contrast and multiple columns all reduce accuracy. Tables and complex layouts may come out jumbled. Treat the output as a draft that saves typing, not as a perfect transcription — a quick human review is always worth it. And if you need to decode a QR code from an image instead of text, a QR code reader is the right tool for that job.

Frequently asked questions

Which languages are supported?

Most tools handle major languages well; support for others varies. Check the tool's language list first.

Can OCR read handwriting?

Some tools attempt it, but accuracy is far lower than with printed text.

Is my uploaded image stored?

Policies differ. Check the privacy information, especially for documents containing personal data.

Can I extract text from a PDF?

Some OCR tools accept PDFs directly; others need you to convert pages to images first.

Conclusion

OCR turns dead images of text into usable, searchable words. Feed it clear images, proofread the output, and it will save you hours of retyping — whether you are archiving documents or just grabbing a phone number from a photo.