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🔡Copy Text From Image

Extract the text visible in images, photos and PDFs into text you can copy. Process several files at once. Recognition runs entirely in your browser — nothing is uploaded.

Your files are never sent to a server (the text-recognition engine itself is downloaded from a third-party site the first time you use this tool)

Choose images, photos or PDFs (multiple allowed)

Language

Extracted text

The first run downloads the recognition engine, which takes a moment (faster after that). Handwriting and heavily tilted photos are recognized less reliably — this works best with printed text photographed straight-on.

How to use

  1. Choose the images, photos or PDFs you want text extracted from (multiple allowed).
  2. Pick the language of the text.
  3. Press "Extract text" — results appear below once done. The recognition engine downloads on first use only.
  4. Copy the result, or save it as a text file.

Handy for

Technically known as OCR (optical character recognition), this tool runs a widely-used open-source recognition engine (Tesseract) directly inside your browser. Text comes out without your files ever being uploaded anywhere.

Tips for better accuracy

Works wellStruggles
Printed text (books, documents, screenshots)Handwriting
Straight, front-on photosHeavily tilted or distorted photos
Bright images with clear contrastDark, blurry, or low-resolution images

For PDFs, each page is rendered as an image before recognition. If your PDF already has selectable text (a "digital" PDF), it's faster and more accurate to copy directly from a PDF viewer — this tool shines on scanned paper documents saved as image-based PDFs.

FAQ

Are my files uploaded anywhere?
No. All text recognition runs inside your browser. Only the recognition engine and language data are downloaded from a distribution site on first use — your files and the extracted text are never sent anywhere.
Can it read handwriting?
Not reliably. This tool is built for printed or typed text; handwriting recognition varies wildly depending on how it's written. Treat handwritten results as a rough guide only.
Can it read PDFs?
Yes. Each page is rendered as an image before recognition, so PDFs with many pages take longer. If your PDF already lets you select and copy text, doing that directly is faster and more accurate.
What about a mix of English and Japanese in one image?
Choose "English + Japanese". Loading both language datasets takes a bit longer than a single language, both to download and to process.

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