Optical Character Recognition (OCR) for Scanned PDFs
Extract text from scanned paper documents, photocopies, and image-based PDFs that lack native selectable text. When documents are scanned directly from flatbed scanners or smartphone cameras, they contain only raster pixels rather than digital letters. Our client-side OCR engine utilizes modern WebAssembly optical character recognition to analyze image characters, transcribe text, and provide instant clipboard copying and TXT exports—distinguishing OCR-generated text from native digital text with complete privacy.
Drop scanned PDF here for OCR
Transcribe non-selectable text from scanned documents using in-browser neural OCR
Browse FilesHow to OCR Scanned PDFs in 4 Steps
- 1
Upload Scanned PDF
Select or drag your scanned PDF file into the OCR tool.
- 2
Select Pages to Recognize
Choose to recognize all pages or target specific scanned pages.
- 3
Run Local OCR
Click "Start OCR" and watch the progress indicator transcribe characters.
- 4
Review & Export Text
Review the transcribed text, copy it to your clipboard, or download as a TXT file.
PDF OCR Tool Features
Advanced Neural Character Recognition
Recognizes printed typefaces, scanned receipts, academic papers, and historical archives.
Distinct OCR Classification
Clearly distinguishes OCR-recognized text from native digital text so you can review accuracy.
Page-by-Page Progress Tracking
Watch real-time recognition progress bars as each page is analyzed and transcribed.
Clipboard Copy & TXT Download
Copy transcribed text instantly or export the complete transcription as a clean .txt file.
100% Client-Side Security
Neural recognition executes locally on your device; scanned personal documents never leave your browser.
Free with No Page Restrictions
Process scanned pages without expensive commercial OCR subscriptions or per-page fees.
How Does Client-Side Optical Character Recognition Work?
Optical Character Recognition (OCR) is a machine learning vision technology that analyzes the pixel shapes, strokes, and curves of letterforms inside raster images to identify alphanumeric characters. When an archival document or scanned receipt lacks digital text streams, OCR is the only way to recover editable content.
Our browser OCR tool renders scanned PDF pages onto high-definition canvases and processes them through neural OCR models running inside your browser via WebAssembly. It identifies words, lines, and paragraphs directly on your CPU without sending images to remote cloud servers.
OCR-generated text is clearly labeled as synthetic machine-recognized text rather than native digital PDF text, allowing users to verify accuracy and proofread critical terms.
Frequently Asked Questions
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