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

PNG to Text (OCR)

PNG to Text recognizes printed text in PNG images — screenshots, exported graphics, and saved pictures — using the Tesseract OCR engine running entirely in your browser. PNG's lossless compression keeps letter edges sharp, which makes it one of the best formats for accurate OCR.

PNG to Text (OCR) Runs locally

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

Drop a PNG image here, click to browse, or paste from clipboard

Best results with clear printed text

Step by step

How to use it

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

  2. Drop the PNG 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.

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

When to use it

Use cases

  • Extract text from a screenshot saved as PNG.

  • Recover the text from an exported chart, diagram, or slide image.

  • Copy text out of a logo, banner, or graphic where the original source is gone.

  • Turn a PNG scan of a printed page into editable text.

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.

  • OCR is probabilistic: always proofread the output.

  • Very small text, low contrast, and decorative fonts significantly reduce accuracy.

  • Handwriting and cursive text are recognized poorly or not at all.

  • The engine and language data (a few megabytes) are downloaded on first use.

Background

Why PNG is the better source for OCR

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.

PNG is lossless, so letter edges stay exactly as they were drawn. There are no compression artefacts around characters, which removes the single most common source of recognition error in screenshots and exported documents. If you have a choice of source format, this is the one to use.

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 PNG 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.

Why are PNGs good for OCR?

PNG compression is lossless, so text rendered into the image keeps crisp edges. Screenshots and exported graphics saved as PNG usually give noticeably better recognition than the same content saved as a compressed JPG.

Does it work on screenshots?

Yes — screenshots are a typical PNG source and usually recognize very well, since screen text is sharp and high-contrast. There is also a dedicated Screenshot to Text page with the same engine.

Does transparency in the PNG cause problems?

Transparent areas are treated as-is; if text sits on a transparent background it may end up on whatever default the render produces. For best results use a PNG with a solid, contrasting background.

Which languages are supported?

English, Portuguese, Spanish, French, German, Italian, Dutch, Polish, Turkish, Russian, Japanese, and Simplified Chinese. Pick the language that matches the text in the image.

Why is my result full of mistakes?

Common causes: the wrong language selected, very small text (upscale or re-capture at higher resolution), low contrast between text and background, or decorative fonts.