Best practices
- Run OCR first on scanned or image-based files when the next step depends on searchable or editable text.
- Use OCR for image-based PDFs before extraction workflows.
- Validate extracted output on representative sample pages.
Turn scanned PDFs into searchable text with OCR. Choose language, keep layout, and download a new searchable PDF with auto-delete.
OCR PDF is designed for pulling usable text, images, metadata, or scan content out of PDFs for review and reuse.
The key controls on this page are Languages, Output, Deskew. Check them before you process final files.
If this run affects client delivery, approval, or archive quality, validate the output once before you share it. The related how-to and use-case pages below cover the most common real-world edge cases.
Need more detail? Read the full guide.
Use OCR PDF, choose the correct language, and process to generate a searchable text layer over the scanned document.
Text extraction reads existing digital text. OCR recognizes text from scanned images or image-based PDF pages.
Choose the language that best matches the document text for higher recognition accuracy, then run OCR.
OCR keeps page layout while adding a searchable text layer, but recognition accuracy depends on scan quality and language settings.
Run OCR with the correct language so an invisible text layer is added while preserving the original page layout.
To use ocr pdf online, upload your file, select OCR language and output mode, then process and download the result.
OCR PDF follows a clear workflow: upload input, configure settings, process, and download output.
OCR PDF follows a clear workflow: upload input, configure settings, process, and download output.