Turn scans into editable text
Photos and scanned PDF pages contain pixels rather than useful selectable text. OCR reads those pixels and returns editable text, confidence information and optional layout data.
Recognize text from scans, photos and image-only PDFs with deskew, smart cleanup, confidence overlays and editable exports. Create searchable PDF, Word and text files without signup.
Choose one PDF (up to 40 pages) or up to 25 JPG, PNG or WebP images. Smart Accuracy can retry difficult pages; Precision Accuracy can compare up to three recognition passes when a page remains weak.
Your source file stays in this browser. OCR engine and language files load only when recognition starts.Choose how much work the browser should do for difficult text.
Improve tilted, faded or uneven scans before recognition.
Select only languages actually present. The default Tesseract.js LSTM data is quality-oriented; extra languages increase download and OCR time.
Red boxes mark words below your chosen confidence threshold. OCR confidence is a useful warning signal, not proof that a word is correct.
Text edits are included in Word and TXT exports. The searchable PDF uses the OCR engine's positioned text layer, so review its search/select behaviour after download.
Photos and scanned PDF pages contain pixels rather than useful selectable text. OCR reads those pixels and returns editable text, confidence information and optional layout data.
The page list shows confidence and lower-confidence tokens. Correct important names, totals, dates and reference numbers before exporting.
Create a searchable PDF, Word document, plain text or an OCR data ZIP containing page text, TSV, hOCR and a JSON summary where available.
Use OCR Studio when a scanned PDF cannot be searched, copied or indexed as text. PDF pages are rendered in the browser before recognition because the OCR library itself reads images rather than PDF files directly. Images can be processed as JPG, PNG or WebP.
Use the correct document language, choose a detailed render for small print, and select a layout mode that matches the page. Auto layout works well for ordinary pages; single-block mode suits simple paragraphs, while sparse-text mode can be useful for receipts, labels and scattered text. High-quality source images normally produce better recognition than blurred or heavily compressed screenshots.
When a PDF page already contains useful selectable text, the default setting can use that text instead of spending time on OCR. Scanned pages are rendered and recognized. The searchable PDF export uses the OCR engine's generated text layer where available. It should always be reviewed before replacing an original archive.
Your selected document is processed in the browser for this tool. The OCR runtime and language files are downloaded when needed, which means the first recognition in a language can take longer. The source document is not sent to a paid document-conversion service by this workflow.
Yes. The included OCR, text review and export tools are available without an account. Browser resource limits still apply.
Yes, where the OCR engine provides a positioned PDF text layer. Review the generated PDF because character recognition can be wrong.
The interface includes English, Arabic, Hindi, Malayalam, Bengali, Tamil, Telugu, Urdu, French, German, Spanish, Portuguese, Italian, Dutch, Turkish, Russian, Polish, Indonesian, Vietnamese, Thai, Chinese, Japanese and Korean options. Selecting more than one language can increase loading and recognition time.
No. This workflow is intended mainly for printed text. Handwriting, decorative fonts, low-resolution scans and complex tables can reduce recognition accuracy.