Is my image uploaded anywhere?

No. The OCR model downloads once to your browser and runs entirely on your device. Your image never leaves your computer or phone.

Does it read handwriting?

No — this checkpoint is trained on printed text only. Handwriting will return garbled or empty results, and the tool tells you that up front.

Why is the first run slow?

The browser downloads ~120 MB of model weights the first time. After that the model is cached and later runs start much faster, even offline.

How accurate is the extracted text?

Good on clean, well-lit printed lines. Small, blurry, skewed or stylized text degrades results — always proofread the output before using it.

How do I get the best results from a scan?

Upload a sharp, straight, well-lit image of printed text — screenshots of documents and book pages work best. The tool runs the trocr-small-printed model on your device and returns editable text you can copy. Small, blurry, skewed, or stylized text degrades accuracy, so always proofread before you use the output.

Does the OCR work offline?

After the first run, yes. The browser downloads about 120 MB of model weights once and caches them, so later extractions run entirely on your device with no internet needed. Your images never leave your computer or phone.

Can it extract text from a multi-page PDF?

Not directly — it processes one image at a time. For a multi-page PDF, convert each page to an image (JPG or PNG) and run the pages through one by one. It reads printed text only; handwriting returns garbled or empty results.

OCR Text Extractor: Free Online

What is Online ocr text extractor?

OCR Text Extractor — Extract text from images free with online OCR — printed text recognized and ready to copy in seconds. Extract yours now!

Runs the Xenova/trocr-small-printed image-to-text model (Apache-2.0, ~120 MB) directly in your browser via Transformers.js — a Vision Transformer encoder plus a text decoder trained on printed lines. Your image is resized by the model’s processor, decoded into text tokens on your device, and nothing is ever uploaded. The interface is explicit: this is a printed-text, line-level model, so handwriting and complex layouts are out of scope.

Why use this online ocr text extractor?

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Built for online ocr text extractor

Extract text from images free with online OCR — printed text recognized and ready to copy in seconds. Extract yours now!

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Transparent & honest

Printed-text OCR only — handwriting, complex tables and multi-column layouts give poor results.

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Private by design

Everything runs in your browser. Your inputs never leave your device.

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Works everywhere

Fully responsive — perfect on desktop, tablet, and mobile. No app needed.

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Regularly updated

Regularly maintained and reviewed to ensure accuracy.

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Free forever

No accounts, no limits, no watermarks. Use OCR Text Extractor as much as you need.

How to use OCR Text Extractor

1Upload an image containing printed text (PNG, JPG — under 25 MB).
2Wait for the on-device model to download (~120 MB, once) and scan the image.
3Read the extracted text in the result box.
4Copy it to your clipboard or download it as a .txt file.
5For best results, crop dense documents to a few lines at a time.

What can you do with OCR Text Extractor?

Image to text free — Extract text from images free with online OCR — printed text recognized and ready to copy in seconds.
Extract text from image — Extract text from images free with online OCR — printed text recognized and ready to copy in seconds.
Photo to text converter — Extract text from images free with online OCR — printed text recognized and ready to copy in seconds.

Good to know

Printed-text OCR only — handwriting, complex tables and multi-column layouts give poor results.
Line-level model: dense pages work best cropped to a few lines at a time.
Output is best-effort transcription, not a certified copy — proofread before reuse.

How it works

Runs the Xenova/trocr-small-printed image-to-text model (Apache-2.0, ~120 MB) directly in your browser via Transformers.js — a Vision Transformer encoder plus a text decoder trained on printed lines. Your image is resized by the model’s processor, decoded into text tokens on your device, and nothing is ever uploaded. The interface is explicit: this is a printed-text, line-level model, so handwriting and complex layouts are out of scope.

Examples

Screenshot of a quote

Returns the readable lines as plain text you can copy into a document.

Photo of a sign

Extracts the sign’s words; stylized lettering may come back imperfect.

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