Entrovix AI

Image to Text (OCR)

Reads the text out of a photo — a page, a sign, a receipt — in twelve languages, entirely inside your browser.

Runs in your browser — nothing is uploaded

Your image

A photo of a page, a sign, a receipt or a whiteboard.

The model for each language downloads once and is then cached.

Your file never leaves this device. The whole operation runs in your browser — nothing is uploaded, queued on a server, or deleted later, because nothing was ever sent.

Recognised

Choose an image and press read

The model comes to your photo

The recognition model, around 15 MB, is downloaded to your browser and the reading happens there. The photo is never uploaded — which matters when it is a bank statement or an ID document, the things people most often need to get text out of.
The text

The recognised text appears here, ready to copy.

Why use it

Built to be genuinely useful

The photo never leaves your device

The recognition model is downloaded to your browser. The image is not uploaded, which matters for documents.

Twelve languages

Including Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati and Urdu.

A confidence score

It tells you how sure it is, so you know when the output needs checking line by line.

Free, no sign-up

No page limits and no account.

How it works

Three steps

  1. 1

    Choose a photo of the text you want.

  2. 2

    Pick the language — this matters more than any other setting.

  3. 3

    Press read, then copy the result.

Why the photo matters more than the software

Recognition accuracy is dominated by the input. A sharp, straight, evenly lit photograph of a printed page will come back near-perfect from any modern engine; a dim, angled photo with a shadow across it will produce nonsense from all of them, including expensive ones.

Three things help more than anything else. Fill the frame with the text so each character has as many pixels as possible. Shoot straight on rather than at an angle, because perspective distorts the letterforms. And avoid your own shadow, which is the most common problem when photographing a page on a desk.

Handwriting is a different problem entirely. These engines are trained on printed type, and cursive in particular is close to unreadable for them. Neat block capitals sometimes work; ordinary handwriting generally does not.

Choosing the language

The language setting is not a preference — it selects a different trained model, and the wrong one produces confident nonsense rather than an error. Devanagari read with the English model returns a stream of plausible Latin letters that mean nothing.

Each language model downloads separately the first time you use it, around 10 to 15 megabytes, and is then cached by your browser. Switching back and forth between two languages is fast after the first use of each.

For a page mixing English with an Indian language, try both and keep whichever result is closer. There is no combined model, and the mixed case is genuinely hard.

FAQ

Questions people ask

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