Image to Text
Read the text out of a photo, a screenshot or a scanned page and get it back as something you can copy and edit. The recognition runs inside your browser, so your pictures are never uploaded.
Add your images
JPG · PNG · WebP · BMPDrop images here or click to browse
Add one or several, then pick the language of the text
Extracted text
Add an image to startThe recognised text will appear here
Recognition is good on clean printed text. Handwriting, stylised logos and blurry photos will produce mistakes, so proofread the result before you use it.
How to extract text from an image
Add your images
Drop in a photo, a screenshot or a scan. Everything is read locally, nothing is uploaded.
Pick the language
Choose the language that appears in the image, then start the recognition.
Copy or download the text
Check the result on the right, fix anything the engine misread, then copy it or save a .txt file.
Why use Aihangsoft Image to Text
Nothing gets uploaded
The OCR engine runs on your own machine, so photos of documents, receipts or screens stay private.
Text you can actually use
The output lands in an editable box, so you can fix a misread word, copy a paragraph or save the whole thing.
Free, no limits
No sign-up, no daily allowance and no cap on how many images you run through it.
What it reads well, and what it does not
Scans and documents
Printed pages, contracts, invoices and book pages come out clean, including their paragraph breaks and line order.
Use case: digitising paperwork, extracting quotesScreenshots and slides
Text captured from a screen is usually very sharp, which is exactly what the engine likes. Great for pulling a table out of a slide.
Use case: meeting notes, code snippets, captured tablesSeveral images in one run
Queue up a whole folder of scans and they are read one after another. Each block in the result is labelled with its file name.
Use case: multi page documents, batches of receiptsWhere it struggles
Handwriting, decorative fonts, text on a busy background, glare and anything under a few hundred pixels wide. Straighten the photo and fill the frame with the text to get a much better result.
Use case: knowing when to retake the photo