AI Redactor

Every redaction action is logged with the reviewer identity, timestamp, exemption code, redaction type, and affected content. These immutable audit records satisfy legal discovery requirements and demonstrate due diligence during challenges to redaction decisions.

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Yes. Redactor processes call center recordings at enterprise scale with automated detection of 33+ spoken PII categories including credit card numbers, SSNs, account numbers, and health information. Queue-based processing handles overnight batch runs for daily call volumes.

AI transcription converts speech to text in 82 languages, then NLP models identify spoken PII categories -- names, addresses, credit cards, SSNs, dates of birth, medical record numbers, and more. Detected PII is automatically muted or bleeped in the audio.

Yes. Redactor detects and removes credit card numbers, CVVs, bank accounts, and other payment data from recorded calls. The Call Center Compliance solution combines Redactor and Intelligence Hub for automated PCI-DSS compliance at scale without manual review of every call.

Speaker diarization identifies and separates different speakers in a recording. This lets organizations apply redaction selectively -- for example, redacting a customer's spoken PII while preserving the agent's responses intact for training and quality assurance purposes.

Yes. Redactor supports 255+ audio and video formats including MP3, WAV, M4A, FLAC, and common call recording outputs. It does not require a specific telephony platform or recording system, so organizations plug in recordings from any provider.

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Configurable confidence thresholds (25-90%) let organizations balance thoroughness against false positives. Semi-automated mode presents AI detections for human review before applying redaction. Multi-level reviewer chains add additional QA layers for sensitive content.

Semi-automated mode flags all AI detections for human review, catching misses before finalization. Manual tools let reviewers add redactions the AI missed using keyword search, draw selection, or audio region selection. Confidence thresholds can be lowered to increase detection sensitivity.

Yes. Multi-level reviewer chains let one person apply initial redaction, a second person verify, and a supervisor approve before release. Role-based access control ensures each reviewer sees only the content and actions appropriate to their role in the workflow.

Multi-layer architecture applies different redaction layers for different exemptions on the same file. Reviewers can verify that correct exemptions were applied without seeing the protected content. The original file is always preserved separately, so redaction never destroys source material.

Automated redaction is software-driven -- organizations run Redactor's AI with their own staff. Managed redaction (White Glove service) provides VIDIZMO's trained analysts who handle the entire redaction workflow with dual QA review, offered at tiered per-page pricing for organizations that lack in-house capacity.

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Yes. OCR extracts text from scanned documents, and Intelligent Character Recognition (ICR) handles handwritten content. Perso-Arabic OCR supports Arabic, Farsi, and Urdu scripts. Layout detection handles complex document structures including tables, multi-column layouts, headers, and footers.

Redactor supports DICOM format for medical imaging, enabling healthcare organizations to remove PHI from radiology and diagnostic files while maintaining HIPAA compliance. Protected health information is redacted from DICOM metadata and image content.

Yes. Redactor processes DOCX, XLSX, PPTX, and PDF files with AI PII detection across text, embedded images, and metadata. Spreadsheets with thousands of cells containing SSNs, account numbers, or names get batch-processed without opening each file manually.

Yes. Redactor applies Bates stamps to document pages for sequential numbering in legal document management and discovery workflows. This ensures proper tracking and referencing during litigation proceedings alongside PII redaction.

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Redactor's server-based architecture processes files in parallel queues. The platform has been tested with 1.1M+ recordings and supports enterprise-scale organizations like the UK Department for Work and Pensions (5,000 users). Queue-based automation handles batch runs during off-hours.

Yes. Queue-based automation runs redaction jobs during off-hours with admin-configured policies. Daily call recordings drop into processing queues, and completed redacted files are ready for review or distribution the next business day without manual intervention.

Proprietary CCTV formats are automatically rewrapped from H.264 to standard MP4 without re-encoding, preserving original video quality. This means surveillance footage from any CCTV system can be ingested and redacted without manual format conversion steps.

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Yes. Redactor deploys fully on-premises and in air-gapped environments with no internet dependency. All AI processing runs locally, sensitive content never leaves the secure network, and FIPS 140-2 encryption protects data at rest and in transit.

Redaction always creates a separate copy. The original file is preserved with its cryptographic hash intact, chain of custody unbroken, and access restricted to authorized personnel. Organizations can always reference the unredacted original when legally required.