All tools Image to Text (OCR) ● Live Image / Inspection How this tool works

Image to Text (OCR)

Image to Text uses the Tesseract OCR engine, compiled to WebAssembly, to recognize printed text in screenshots, scans, and photos — entirely inside your browser tab. Pick the language of the text, drop in an image, and get editable, copyable text without uploading the file to any server.

Image to Text (OCR) Runs locally

Pick the language the text is written in — it strongly affects accuracy.

Drop an image here, click to browse, or paste from clipboard

PNG, JPG, WebP, BMP supported — best results with clear printed text

Step by step

How to use it

  1. Select the language of the text in your image — this strongly affects accuracy.

  2. Drag and drop an image onto the drop zone, click it to browse, or paste an image from your clipboard.

  3. Wait while the OCR engine loads (first run only) and recognition runs — a progress bar shows the status.

  4. Review the extracted text, fix any recognition mistakes directly in the text area, then copy it or download it as a .txt file.

When to use it

Use cases

  • Pull a quote or paragraph out of a screenshot so you can paste it as real text.

  • Extract text from a scanned page or photographed document without retyping it.

  • Recover text from an image where the original document is no longer available.

  • Copy an error message from a screenshot to search for it or paste it into a bug report.

  • Digitize printed reference material — labels, receipts, book excerpts — for notes or records.

Limits & privacy

What this tool does and does not do

Private by design

The image is processed entirely on your device by an OCR engine running in your browser. It is never uploaded to a server. Only the OCR engine and language data files are downloaded, and they are cached for later runs.

  • OCR is probabilistic: even good images can contain recognition errors, so always proofread the output.

  • Handwriting, cursive text, decorative fonts, and dense multi-column layouts are recognized poorly or not at all.

  • Blurry, low-resolution, skewed, or low-contrast images significantly reduce accuracy.

  • One recognition language is applied per run — mixed-language images will have errors in the non-selected language.

  • The engine and language data (a few megabytes) are downloaded on first use, so the first run needs a network connection and takes longer.

Background

How the recognition actually works

Recognition runs on Tesseract compiled to WebAssembly, executing in a worker thread inside your browser. The first run downloads the trained data for the language you picked and caches it, so the initial recognition is noticeably slower than every one after it. No image is uploaded — the engine comes to the file rather than the file going to a server.

The language setting matters more than people expect, because it is not a hint. Tesseract loads a different trained model per language, and each one encodes that language's character set and letter-sequence probabilities. Running Portuguese text through the English model does not degrade gracefully; accented characters have no good match and the engine's guesses about likely letter sequences are actively wrong.

Accuracy is decided before the engine runs. Resolution is the dominant factor — small text that occupies few pixels per character has too little information to identify, and enlarging the image afterwards adds no detail. Straight, high-contrast, evenly lit text does well. Skew, shadow across the page, JPEG artefacts around letter edges, and photographs taken at an angle all cost accuracy, and handwriting is not what this engine was trained for.

Questions

Frequently asked questions

Is Image to Text free to use?

Yes. The tool is free and runs directly in your browser with no account required.

Does this tool upload my image?

No. Recognition is done by the Tesseract OCR engine compiled to WebAssembly, running inside your browser tab. Your image never leaves your device — only the engine and language data are downloaded, once, and then cached.

Why does the first run take longer?

On first use the browser downloads the OCR engine and the language data for the language you picked (a few megabytes). Subsequent runs reuse the cached files and start much faster.

Which languages are supported?

English, Portuguese, Spanish, French, German, Italian, Dutch, Polish, Turkish, Russian, Japanese, and Simplified Chinese. Choose the language that matches the text in the image — running English OCR on Portuguese text will produce many errors.

Can it read handwriting?

Not reliably. Tesseract is designed for printed text. Neat block handwriting occasionally works, but cursive or informal handwriting usually produces garbled output.

Why is my result full of mistakes?

Common causes: the wrong language selected, a blurry or low-resolution image, skewed or rotated text, low contrast, or decorative fonts. Try a tighter crop around the text, a higher-resolution capture, and double-check the language setting.

Can I edit the result before copying it?

Yes — the extracted text appears in an editable text area, so you can fix recognition mistakes before using 'Copy text' or 'Download .txt'.

Does it work with photos of documents taken with a phone?

Often, yes — if the photo is straight-on, in focus, and evenly lit. Strong angles, shadows, and glare significantly reduce accuracy.