PDF OCR & Text Extractor

How to Run PDF OCR Text Extraction

1. Upload a scanned, image-only PDF document into the OCR window.
2. Choose the target language (e.g. English, Spanish) to train recognition libraries.
3. Observe OCR scanning percentage updates as pages are read.
4. Review extracted plain text and copy results back to your workspace.

Key Features

• Local OCR Parser: Processes files directly inside browser threads without server requests.
• Multi-Language detection: Accurately parses accents, standard characters, and punctuation.
• Formatting preservation: Restructures text paragraphs in readable blocks.

Common Use Cases

• Convert non-searchable scanned book PDFs into searchable research documents.
• Extract data from legacy tabular bills, PDF tax records, and invoices.
• Transcribe physical document snapshots and receipts.

Frequently Asked Questions

Does this OCR tool upload my documents to any server?

Never! Your document reading, text compilation, and Optical Character Recognition (OCR) routines are processed 100% inside your local web browser using client-side libraries. Your files never touch external systems.

How is OCR performed in the browser?

If the PDF contains scanned graphic images or is non-selectable, the tool leverages client-side Tesseract.js. It compiles and analyzes canvas pixels directly in your browser tab to run AI pattern-matching OCR algorithms, returning raw text offline.

Can I extract text from multi-page PDFs?

Yes! You can choose to extract text from all pages, select single pages, or define custom page ranges (e.g., 1-4, 7). The extractor will compile the content dynamically, index it page-by-page, and let you search or copy text easily.