PDF OCR
Extract text from scanned PDFs using OCR — supports 20 languages, free, browser-based.
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PDF OCR Tool
Drop a scanned PDF here or click to select
Max 50 MB
Extract text from scanned PDFs using OCR — supports 20 languages, free, browser-based.
About PDF OCR
PDF OCR is a free online optical character recognition tool that extracts text from scanned PDFs and image-based documents, supporting 20 languages including English, French, German, Spanish, Arabic, Chinese, and Japanese. Choose to output a searchable PDF with an invisible text layer or extract plain text directly. All OCR processing runs locally in your browser — your files never leave your device. No signup required.
How to Use
Upload a scanned PDF (up to 50 MB), select the document language or multiple languages for multilingual documents, and specify which pages to process — all pages or a custom range like 1,3,5-8. Choose Searchable PDF to embed a text layer or Plain Text to extract raw text. Click Start OCR to begin processing. Monitor page-by-page progress and confidence scores, then download the searchable PDF or copy the extracted text.
Common Use Cases
- Law firms receiving scanned contracts and court documents as image-based PDFs can run OCR to make them text-searchable, enabling keyword search across large document collections in their case management system.
- Researchers digitizing printed books, journal articles, or archival documents can extract the full text layer with this free PDF OCR tool and import the recognized text into citation managers or research databases.
- Government agencies and compliance teams processing large volumes of scanned forms can use the custom page range feature to OCR only the data-bearing pages, significantly reducing processing time.
- Multilingual organizations working with documents in multiple languages can select multiple OCR language packs simultaneously to accurately recognize mixed-language documents in a single pass.
- Students with printed lecture notes or textbook pages they scanned can extract the full text using OCR to create searchable, copy-pasteable digital notes without manually retyping any content.