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PDF OCR

Image to Text Converter

The alternative to retyping what you can already see on screen.

Processed locally in your browser. Downloads a recognition engine once; your file is still never uploaded. How this works

  1. 01Add your files
  2. 02Image to Text Converter
  3. 03Download

Runs in your browser · downloads an engine file once

About image to text converter

The job here is transcription avoidance. Someone sends a table as a screenshot, a supplier emails a photographed price list, a colleague pastes a stack trace as an image, and the alternative to this tool is typing it out. That framing shapes what the output should be: not a layout-faithful reproduction but clean, copyable text you can immediately paste into a spreadsheet, an editor or a chat. So results are returned as plain lines with whitespace normalised, recognised line by line in the order the lines appear top to bottom. When several images are queued their results are kept separate and labelled, because in this workflow each image is usually its own record. Recognition runs locally through WebAssembly, which is what makes it appropriate for the screenshots people most want transcribed — internal dashboards, invoices, anything you would not paste into a stranger's upload form.

How to image to text converter

  1. 01

    Collect the images

    Drop in every picture you would otherwise have retyped.

  2. 02

    Set the language

    Choose from English, French, Spanish, German, Italian, Portuguese or Arabic.

  3. 03

    Convert

    Each image is recognised in turn, locally, and its text appears under its filename.

  4. 04

    Paste it where it belongs

    Copy directly into your spreadsheet, document or message and check the numbers.

What this tool does

  • Output tuned for pasting: plain lines, normalised whitespace, no layout padding
  • Per-image labelled results when you queue a batch
  • Local processing suits screenshots of internal systems and private correspondence
  • Handles JPG, PNG, WebP and BMP without conversion
  • Seven trained languages available offline after the first download

Limitations worth knowing

Every PDF tool has constraints. Stating them plainly is more useful than discovering them halfway through your work.

  • Columns in a screenshotted table are flattened into lines; cell structure is not reconstructed.
  • Always verify digits in figures and reference numbers — a misread 8 for a 3 is the classic OCR failure and it is silent.
  • Handwritten notes are not reliably converted.
  • Only the seven trained languages are supported; there is no model here for other scripts.

How your file is handled

This tool runs inside this browser tab, but it first downloads a recognition engine and language model — static files, fetched once and then cached by your browser. Your document is never part of that request: the engine comes down to your device, and your file stays on it. You can verify this in the Network panel, where you will see the engine assets download and no upload of your document.

Nothing is stored after the fact. Closing or reloading this tab discards the file, the result and everything derived from them, because none of it ever left your machine. Read how local processing works.

Questions about image to text converter

How is this different from OCR Image to Text?

Same engine, different emphasis. That page explains the recognition pipeline and how image quality drives accuracy; this one is organised around the practical job of never retyping a screenshot.

Can it preserve a table's columns?

No. You get the text in reading order, line by line. Reconstructing cell boundaries from pixels is a separate problem and we would rather say so than produce a plausible-looking wrong table.

What should I double-check in the output?

Numbers, codes and anything where one wrong character changes the meaning. Prose errors are obvious on reading; a wrong digit in an invoice total is not.

Does it work offline?

After the first run, yes. The engine and language model are cached by your browser, and nothing else about the conversion needs the network.

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