OCR PDF
Run OCR on scanned PDFs to make text searchable and selectable. Recover readable text from image-based documents while preserving page layout.
What this tool is best for
Use OCR PDF when the file looks like a PDF but behaves like an image, so users cannot search, copy, highlight, or reuse the text inside it.
Why people use it
- Targets a high-value workflow for scanned archives, intake packets, receipts, and image-based reports.
- Turns static scans into searchable documents without forcing users to manually retype content.
- Creates a natural bridge to downstream tools like <a href="/en/tools/pdf-to-docx">PDF to Word</a> and <a href="/en/tools/find-and-redact">Find and Redact</a>.
What to watch for
- OCR accuracy depends heavily on scan quality, skew, language choice, and image clarity.
- If the source PDF already contains a text layer, OCR may be unnecessary and a converter like <a href="/en/tools/pdf-to-docx">PDF to Word</a> can be the faster path.
Supported inputs
scanned PDFs, image-based PDFs, multi-language documents
Common outputs
searchable PDF, selectable text layer, OCR-ready downstream document
About This Tool
OCR PDF solves one of the most frustrating PDF problems: the file opens normally, but none of the text is actually usable. Users cannot search for names, copy a paragraph, highlight a clause, or feed the document into other text-based workflows because the PDF is really just a stack of scanned images.
This page should compete on a simple promise: recover usable text while preserving the original page appearance. That makes it valuable for archived records, scanned contracts, receipts, forms, invoices, classroom material, and intake documents that need to become searchable before they can be reviewed or processed at scale.
OCR is also a gateway workflow. After recognition, users can move into PDF to Word if they need editable output, or into Find and Redact if the goal is locating sensitive text across the document. The landing page should explain that sequence clearly instead of treating OCR as an isolated feature.
For SEO, the highest-intent queries usually come from people trying to make scanned PDFs searchable, selectable, or copyable. The page should stay anchored to that operational outcome.
How to Use
Upload Scanned PDF
Drag and drop your scanned PDF or click to select the image-based document.
Select Document Language
Choose the main document language so text recognition can use the right model.
Run OCR
Add a searchable text layer while keeping the original page appearance visible.
Download or Continue
Download the searchable PDF, or continue to PDF to Word or PDF to Excel if you need editable output.
Use Cases
Digitize Archives
Make scanned records searchable before long-term storage or review.
Search Scanned Documents
Find names, dates, clauses, or invoice numbers inside image-based PDFs.
Prepare for Conversion
Add a text layer before converting scanned PDFs to Word or Excel.
Frequently Asked Questions
What languages are supported?
Over 100 languages are supported including English, Chinese, Japanese, Korean, and more.
Will the original layout be preserved?
Yes, the original visual layout is preserved with a searchable text layer added.
How accurate is the OCR?
Accuracy depends on scan quality, contrast, skew, and language. Clear, straight scans produce the best results.
Should I OCR before converting PDF to Word?
Yes, if the PDF is scanned or image-based. OCR first creates the text layer that Word conversion can reuse.
Can OCR make handwriting editable?
OCR works best on printed text. Handwriting recognition is less reliable and may require manual review.
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