OCR — Extract Text from Images and PDFs Free

Load an image or a PDF and get editable text via on-device OCR. Everything runs locally in your browser.

Quick answer: OCR online free: extract editable text from photos, scans and PDF pages using on-device recognition. No upload, no account — your document never leaves the browser.

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How to use

  1. Choose an image (JPG/PNG) or a scanned PDF.
  2. Watch the progress bar — recognition runs on your device.
  3. Copy the extracted text.

About this tool

Optical character recognition is how a photo of a notice, a scanned invoice or an image-only PDF becomes copyable text. This tool runs Tesseract's recognition engine inside your browser tab — the same open engine that powers many paid services — so your document is never sent to a third-party OCR server. Point it at a photo of printed text or a scanned PDF page and copy the result straight into an email or editor. Your file never leaves this page — everything runs in your browser, there is no upload endpoint on this site, and the document is dropped from memory when you close the tab. Browser-based OCR changed the privacy math of “image to text”: screenshots, scanned contracts, ID cards and whiteboard photos are exactly the files people hesitate to upload anywhere, so this OCR text extractor runs recognition locally — the recognition engine downloads once, then works offline on the canvas in front of it. Accuracy follows four controllable factors: resolution (300 DPI-equivalent or higher), straightness (a 5° skew costs more accuracy than a low-end camera), contrast (dark text on light background beats light-on-dark every time), and print versus handwriting — machine print at reasonable quality lands near-perfect, neat handwriting lands usable, cursive lands creative. Multi-language pages work when the matching language pack is selected before recognition. After extraction, the copy and download buttons give plain text with line breaks preserved — ready for notes, translation tools or a spreadsheet.

FAQ

Is my document uploaded for OCR?
No. Your file never leaves this page — everything runs in your browser, there is no upload endpoint on this site, and the document is dropped from memory when you close the tab.
Which languages work?
English out of the box; the engine is the standard Tesseract LSTM model.
How good is the output?
Excellent on clean printed text; handwriting and blurry photos reduce accuracy.
Can it read image-only PDFs?
Yes — the first pages are rendered and recognised automatically.
Why is the first run slow?
The language model (~few MB) downloads once and is cached by your browser.
Can I copy the result?
Yes — one click copies all extracted text.
Is this OCR really free and upload-free?
Yes on both counts. Recognition runs in your browser after a one-time engine download — your images and PDFs are never sent to a server. That is why the tool also works on a plane or any offline machine once loaded.
How accurate is image-to-text OCR?
Machine-printed text at decent quality: typically 95–99% accurate. Handwriting: neat printing works well, cursive is unreliable. The big accuracy killers in order are blur, skew, low contrast and tiny text — fix those and accuracy jumps.
Can OCR read handwriting?
Neat, evenly spaced handwriting: often usable. Cursive or artistic styles: expect errors, since recognition models are trained mostly on print. For handwritten notes, shoot straight, crop tight, and proofread — the tool makes corrections easy.
Which image formats and languages are supported?
Common formats — JPG, PNG, WebP, BMP — plus text-layer PDFs. Language support covers major Latin, Cyrillic, Arabic, Devanagari and CJK scripts; pick the matching language pack before recognizing for best results with non-English text.

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