Free OCR · Image to plain text
Free OCR Online: Extract Text from an Image as Plain Text
Extract text from images across 130+ languages in seconds.
URBAN GARDEN WORKSHOP Saturday, October 24 10:00 AM — 12:30 PM Riverside Community Hall Seed starting basics Balcony herb gardens Composting for beginners Bring a notebook and water bottle.
OCR an image to text in three steps
Add one image
Drop in a PNG, JPG or WebP file of up to 30 MB to try instantly without sign-up. Working from a PDF? Take a screenshot first.
Let the language be detected
There is no language menu to set. The OCR recognises the script on its own, from Latin alphabets to Chinese, Japanese, Korean and Arabic.
Tidy it up and take it
The recognised text lands in an editable box. Correct a word if you need to, then copy it to the clipboard or download a .txt file.
Why plain-text OCR is the quick route
Text in the order a person reads it
- Columns, captions and side notes come out as a sequence you can follow, not a jumble of fragments.
- Output carries no markup, so it pastes cleanly into a chat, a search bar, a spreadsheet cell or a code editor.
- Line breaks follow the source, which keeps short labels and addresses easy to scan.
More than 130 scripts, detected for you
- Chinese, Japanese, Korean and Arabic are read alongside English and other Latin-script languages.
- Mixed-language screenshots are fine; you do not have to tell the tool what it is looking at.
- Printed type gives the most reliable results. Handwriting can work, but check the output before you rely on it.
Instant try, free with an account
- Try extracting text once without signing up — no card or email required.
- Signing up is free and gives 20 starter credits with no card needed.
- OCR runs never draw on your credit balance once signed in.
Need the text translated inside the picture?
OCR hands you the words on their own. When you want the photo itself in another language, the image translator swaps the original text for a translation and keeps the layout and design intact, at 10 credits per image.
Keep going