Qevirov1.0
AI Powered

OCR PDF

Perform optical character recognition (OCR) on scanned paper documents and image-based PDFs directly in your browser. Generates searchable PDFs with invisible selectable text layers and exports extracted plain text.

Processed locally in your browser — zero files uploaded to cloud

Drop your ocr pdf files here

Select a document from your computer or phone

Supports: .pdf application/pdf•Up to 50 MB

How to Use OCR PDF Online

Execute your document operations in 3 simple steps directly in your web browser.

1

Upload Scanned PDF

Select or drop your scanned paper document or image-heavy PDF.

2

WebAssembly OCR Processing

Our client-side neural OCR engine recognizes characters page by page.

3

Download Searchable PDF

Download your searchable PDF with selectable text layer or export plain text.

Technology & Architecture

What Does OCR PDF Do & How Does It Work?

Qeviro OCR PDF executes neural optical character recognition directly inside your web browser using WebAssembly. It renders each PDF page, recognizes text bounding boxes, and reconstructs a dual-layer searchable PDF where the original scan is visible while an invisible text layer enables searching and selecting.

Dual-Layer Searchable PDF

Retains the original visual document scan while enabling keyword search (Ctrl+F) and text selection.

Pure Client-Side WebAssembly

Scanned tax forms, medical records, and receipts are recognized locally without cloud uploads.

Confidence Scoring & TXT Export

View character recognition confidence percentages and export clean text transcripts.

Practical Workflows

Common OCR PDF Use Cases

Scanned Paper Contracts

Make physical signed contracts searchable for clause lookup and keyword auditing.

Receipt & Invoice Archives

Enable full-text search across scanned paper receipts and supplier invoices.

Historical Books & Archives

Transcribe scanned historical documents and research archives into editable text.

Quality Expectations & Tradeoffs

Recognition accuracy depends on scan resolution (recommended 150-300 DPI), lighting, and font legibility.

Technical Specifications

OCR Engine:Tesseract.js WebAssembly / Neural Net OCR
Output Options:Searchable PDF (.pdf) + Extracted Text (.txt)
Privacy:100% In-Browser Memory Execution

In-Depth Tutorials & Related Guides

Master professional document and image manipulation techniques.

View All Guides

Frequently Asked Questions

Common questions about ocr pdf processing, security, and formats.

What is a "Searchable PDF"?

A searchable PDF looks identical to your original scanned document, but includes an invisible text layer behind the image, allowing you to select, copy, and search words using Ctrl+F.

Are my scanned documents sent to a cloud server?

Never. The OCR neural model runs entirely inside your web browser via WebAssembly.

What languages are supported by the OCR engine?

Our Tesseract.js WebAssembly engine supports English, Spanish, French, German, and major international languages.

What is the recommended resolution for scanned PDFs?

For optimal text recognition accuracy, scanned pages with 200 to 300 DPI clarity provide the most reliable OCR results.

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