How to Batch Blackout ID Card/Bank Card Numbers in PDF? | bestCoffer VDR

• HR Professionals: They manage employee ID PDFs (e.g., passport copies, national ID scans). Batch blackout ensures employee privacy without spending hours on each file.
• Finance Teams: Expense reimbursement PDFs often include partial bank card numbers. The tool’s accuracy prevents accidental leaks that could lead to fraud.
• Compliance Officers: Auditing vendor or client PDFs requires consistent redaction of financial/identity data. bestCoffer VDR’s AI ensures every PDF meets global compliance standards.
• Financial Analysts (M&A/IPO): Due diligence PDFs (e.g., executive financial records) need bank/ID number redaction. Batch processing keeps deal timelines on track.

The 3-step process to batch blackout ID/bank card numbers in PDF with bestCoffer VDR is straightforward—no tech expertise needed:

1. Upload PDFs to bestCoffer VDR (Securely): Skip risky third-party tools. Log into your bestCoffer VDR account, create a dedicated folder (e.g., “Employee ID PDFs”), and drag-and-drop all PDFs needing redaction. The VDR uses ISO 27001-encrypted storage, so data never leaves a secure environment—critical for sensitive ID/bank data.
2. Select the “ID/Bank Card Number” AI Template: bestCoffer VDR’s tool comes with pre-built AI rules for ID and bank card numbers. Go to the “Redaction” tab, choose the “ID/Bank Card” template (it auto-detects global formats: e.g., 18-digit Chinese ID, 16-digit Visa cards), or tweak rules (e.g., add custom regex for regional ID formats) if needed. This eliminates manual rule-setting—save 1+ hours per project.
3. Launch Batch Processing & Preview Results: Click “Start Batch Redaction” and let the AI work. Once done, use the VDR’s “Side-by-Side Preview” to compare original and redacted PDFs—check if any digits were missed. You can edit redaction areas with a single click (e.g., adjust a blackout box) and save the final files back to the VDR.

When choosing a tool for batch PDF blackout, follow 3 core principles:

• Compliance Readiness: It must support GDPR, CCPA, and local laws (e.g., China’s PIPL). bestCoffer VDR’s template library covers 20+ global regulations.
• Accuracy: AI should avoid false positives (e.g., not black out random 16-digit numbers that aren’t bank cards). bestCoffer’s NLP model is trained on 1M+ document samples, ensuring 99.2% accuracy.
• Efficiency: It needs to handle 100+ PDFs at once. bestCoffer VDR processes 50 PDFs/minute—10x faster than manual work.