Optimize PDF / OCR PDF
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OCR PDF

Inject searchable text layer into scanned documents.

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Up to 50 MB free (up to 500 MB with Pro · batch up to 100 files)
Encrypted in transit and at rest - Automatically deleted within 24 hours
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Make a scanned PDF searchable with OCR

Create a text layer for scanned invoices, receipts, forms, and archival documents so users can search and copy recognized text.

01

Upload a scanned PDF

Upload a scanned PDF

02

Select the OCR language and quality

Select the OCR language and quality

03

Download the searchable PDF

Download the searchable PDF

Zero-Upload Client Privacy Mode

For make a scanned pdf searchable with ocr, supported browser workflows can run locally with pdf-lib and WebAssembly so the source file never touches a server.

Built for practical PDF work

The make a scanned pdf searchable with ocr workflow keeps the relevant controls close to the upload queue so you can finish one document job without a heavyweight suite.

Transparent safety controls

Before you download make a scanned pdf searchable with ocr results, Paperplane validates the output and applies isolated storage, path containment, and lifecycle cleanup.

Why use Paperplane for make a scanned pdf searchable with ocr?

CapabilityPaperplaneTraditional desktop suites
Browser zero-upload processingSupportedUsually unavailable
Dedicated Optimize PDF URLOne focused pageOne application shell
Installation requiredNo for web workflowsOften required

Frequently asked questions

Does OCR change the original scan?

OCR adds recognized text behind or alongside the scanned page. The visual page remains available, while recognition accuracy depends on resolution, contrast, and language.

Which languages are supported?

Available languages depend on the installed OCR language packs and deployment configuration. The interface reports runtime capability instead of claiming unsupported languages.

Can OCR recognize handwriting?

Standard OCR is optimized for printed characters. Handwriting accuracy varies substantially and should be reviewed before relying on the extracted text.