Scrub scanned PDFs and images — text extracted locally via Tesseract.js OCR. No cloud OCR, no data exposure, no risk.
Upload a PDF, scanned document, or photo containing text.
pdf.js extracts text from digital PDFs. Tesseract.js handles scanned images — all in-browser.
Extracted text runs through the same regex engine. Download clean output.
![Zero-Trust PII Detection pipeline — raw document with PII passes through the PrivacyScrubber shield, producing anonymized tokens like [NAME_1] and [EMAIL_2]](/features/pii-detection-hero.png)
PrivacyScrubber's pdf & ocr support processes your data 100% locally in browser memory. No server ever sees your content — verified by our Airplane Mode test. This Zero-Trust Data Sanitization (ZTDS) architecture meets enterprise security standards out of the box.
Accountants scrub scanned invoices before using AI for categorization — removing vendor names, bank details, and tax IDs from OCR-extracted text.
Medical staff process scanned lab reports through AI for trend analysis. OCR + PII scrubbing removes patient identifiers from the extracted text.
Paralegals digitize court filings and scrub party names before using AI for legal research — even from scanned PDF documents.
Researchers scrub cited sources and author information from PDF papers before feeding them to AI summarization tools.
Yes. Tesseract.js runs entirely in your browser. The image data never leaves your device — unlike Google Cloud Vision, AWS Textract, or other cloud OCR services.
PNG, JPEG, TIFF, and BMP. For best results, use images with at least 300 DPI resolution.
Tesseract.js achieves 85-95% accuracy on clean, well-lit documents. Handwritten text or very low-quality scans may have lower accuracy.