Clacify

Image to Text (OCR)

Extract text from photos, screenshots and scans in 17 languages — on your device

Updated October 2026

About Image to Text (OCR)

Image to Text turns the words in a picture into text you can copy, edit and save — a process called OCR (optical character recognition). Drop in a photo of a page, a scanned document, a receipt or a screenshot, or simply paste it with Ctrl+V, choose the language, and the text appears in an editable box with a confidence score. It reads 17 languages including English, Hindi, Tamil, Telugu, Kannada, Marathi, Bengali, Gujarati, Malayalam, Punjabi, Urdu, Arabic, French, German, Spanish, Chinese and Japanese, and up to three at once for mixed-language pages. A contrast boost helps with faint photos and coloured backgrounds. The OCR engine runs inside your browser, so your images are never uploaded.

Why Use Image to Text (OCR)?

How It Works

Text is recognised with Tesseract, the open-source OCR engine originally developed at HP and later maintained by Google, compiled to WebAssembly (tesseract.js) so it runs in the browser. Tesseract finds lines and words in the image, then reads them with an LSTM neural network trained for each language; the language models are downloaded once from a public CDN and cached by your browser. When "Boost contrast" is on, the image is first converted to greyscale and its brightness range stretched to full black-to-white, which separates faint text from tinted or uneven backgrounds. The confidence figure is Tesseract's own average certainty across the recognised words.

What affects OCR accuracy

ImageTypical resultTip
Screenshot or digital documentNear-perfectPaste it directly
Clear scan or straight phone photo95%+ of words correctFill the frame with the page, good light
Receipt or faint printGood, some errorsTurn on Boost contrast
Tilted, blurred or shadowed photoNoticeably worseRetake straight on, without shadows
Decorative fonts, very small textUnreliableZoom in or crop to the text
HandwritingPoorOCR engines are trained on printed text

Reading Hindi and other Indian languages

Select the language the text is written in before extracting — the engine uses a different model for each script. For documents that mix English with Hindi, Tamil or another language (common on bills, forms and notices), select both, in order of how much of each appears. Choosing only the languages actually present gives the best accuracy and the fastest result.

Images with personal information

People often need text from Aadhaar or PAN photos, bank statements, payslips and medical reports — exactly the images that should not be uploaded to an unknown server. Here the recognition happens on your own device: the image is read by the engine running in your browser tab and nothing is sent to Clacify or anyone else. Closing the tab discards it.

Frequently Asked Questions

How accurate is image to text?

On clear, straight, printed text — screenshots, scans, typed documents — OCR is usually above 95% accurate, and the confidence score shows how sure the engine is. Accuracy drops with blur, low light, tilted pages, decorative fonts and handwriting. For best results photograph the page straight on in good light and fill the frame with the text.

Can it read Hindi and other Indian languages?

Yes. Choose Hindi, Tamil, Telugu, Kannada, Marathi, Bengali, Gujarati, Malayalam, Punjabi or Urdu before extracting. For a page that mixes English and an Indian language, select both (up to three languages).

Are my images uploaded?

No. The OCR engine and the language model are downloaded to your browser the first time (then cached), and the reading happens on your own device. Your image and its text never reach Clacify's or anyone else's servers.

Sources & references

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