Batch Redaction Across Every Page with One API Call
The Problem
Large PDFs mix sensitive text, images, vector paths, and form fields across hundreds of pages. Finding and removing every type manually is slow and inconsistent.
Per-element calls or overlay boxes add network overhead, leave artifacts, and miss content hidden in vector shapes, annotations, or off-pattern text.
You need document-level matching by content or coordinates, true removal (not masking), and the ability to send thousands of targets through one fast request while preserving the original layout.
Pattern Matching Across Documents
- Redact text, images, vector paths, form fields, and annotations together in one operation
- Match by content (regex or strings) or by position (coordinates and bounding boxes) across the document
- Queue every target and redact across all pages with a single batch API call
- True removal—no overlays or masking—while layout, pagination, and formatting stay intact
- Built for scale: the same workflow handles one file or thousands
Full Code
Works instantly in guest mode - no API key required.
Why It Works
- Document-level coverage: Search all pages at once for content matches or positional selectors
- One-call throughput: Collect every element type and submit once; thousands of objects redact together
- Any object type: Text lines, images, paths/shapes, form fields, and annotations delete the same way
- True redaction: Content is permanently removed from the PDF structure - not overlays, not masking, actual deletion
- Flexible patterns: One regex can match multiple field types - SSNs, phones, dates, policy numbers with similar formats
- Layout preserved: Redaction removes objects from the PDF structure without shifting surrounding content
- Scales to batches of files: Repeat the same batch request across folders or pipelines
Coming Soon: Automatic PII Detection
We're currently developing automatic PII detection and recognition using a machine learning model with Named Entity Recognition (NER).
This will eliminate the need for manual regex patterns - the system will automatically identify and flag sensitive information like names, SSNs, phone numbers, addresses, and more across your documents.
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