Face Redaction Software Built to Redact Faces at Any Scale

Automatically detect and redact faces across video and images before public release, data requests, or compliance disclosures. VIDIZMO Redactor tracks every face through movement, crowds, and occlusion so organizations can share footage without exposing identities.

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Face Redaction Software Built to Detect and Track Faces at Any Scale

Faces in Body Cameras, CCTV, and Meeting Recordings All Need Redaction Before Sharing

Body cameras, CCTV systems, dashcams, screen recordings, and meeting recordings all capture identifiable faces. Before any of this footage can be shared, released, or archived, every face that should not be visible must be redacted. Doing this manually, frame by frame, does not scale when the volume is hundreds of files across multiple sources.

Tracking through movement and occlusion

A face that walks behind a pillar, another person, or a vehicle must be picked up again when it reappears. The tracker cannot lose subjects mid-scene or leave gaps in the mask.

Crowds with dozens of overlapping faces

Public spaces, transit stations, events, and busy interiors capture dense clusters of faces. Every one must be detected, even when partially visible or overlapping with others.

Low light, distance, and angle variation

Surveillance and dashcam footage is captured in poor lighting, at long distances, and from unfavorable angles. Detection must work across all of these, not just clean, well-lit, front-facing shots.

Audio PII alongside the video

Many recordings include audio where names, addresses, and other PII are spoken aloud. Redacting the video without redacting the audio leaves identities exposed.

Multi-camera and multi-file volume

A single incident can produce footage from five, ten, or more cameras. Each file must be processed. Doing this manually for every face in every file does not scale.

Consistency across every frame

If a face is detected in frame 1, it must remain masked in every frame it appears. A single unmasked frame exposes the identity the redaction was meant to protect.

Automatic face detection across the full video

AI scans every frame and identifies all faces present regardless of angle, distance, or scene complexity. No manual selection required.

Persistent tracking through the entire recording

Once detected, a face is tracked continuously across all frames it appears in. Movement, occlusion, and re-entry are handled automatically.

Selective redaction (keep one, blur all)

Designate one individual to remain visible. Every other face in the scene is masked automatically across the full duration.

Multiple redaction styles

Apply blur, pixelation, or black box to each face, with shape and size adjustable per detection to match the disclosure requirement.

Spoken PII redaction from audio

AI transcribes the audio track and detects spoken names, addresses, phone numbers, and other PII. Mute or bleep flagged segments alongside the video redaction in a single workflow.

Bulk processing for large volumes

Upload hundreds of files into a single batch. Detection settings configured once, applied across all files. Process overnight without manual intervention.

Law enforcement and public safety

Redact bystander and witness faces in body camera, dashcam, and surveillance footage before public records release, court disclosure, or media sharing.

Government and public records

Redact bystander and employee faces in agency surveillance, public meeting recordings, and incident footage before responding to FOIA requests, civic disclosures, or inter-agency sharing.

Courts and judiciary

Mask witness, juror, and minor faces in courtroom video, video depositions, and evidence clips before sharing with opposing counsel, appellate review, or public release.

Transport and public transit

Mask passenger faces across station, vehicle, and terminal CCTV before responding to subject access requests or sharing incident footage.

Healthcare

Redact patient and visitor faces in facility surveillance and telehealth recordings to comply with privacy regulations.

Media and publishing

Blur faces of minors, witnesses, and uninvolved individuals in broadcast footage, documentary material, and published video content.

Step 1

Upload

Add video or image files from any source. Process individually, in bulk, or through API. 255+ formats accepted without conversion.

Step 2

Detect

AI identifies every face in every frame. Each detection is tracked across the recording and flagged with a confidence score.

Step 3

Review

Verify detections in-platform. Apply selective redaction if needed. Add manual masks for any faces the AI missed. Choose redaction style.

Step 4

Export

Download the redacted file with a full audit report documenting every detection, reviewer action, and timestamp.

Faces identified and tracked manually, frame by frame, regardless of which editing tool is used.

No automatic detection. Every face in every frame found by a human reviewer.

No way to keep one person visible while masking everyone else without manual effort per face.

No centralized audit trail documenting what was redacted, by whom, or whether anything was missed.

No control over where footage is processed or stored during the redaction workflow.

AI detects and tracks every face automatically across the full video, including through movement, crowds, and occlusion.

Selective redaction keeps one person visible while masking all others in a single pass.

Bulk processing handles hundreds of files in one batch.

Every detection and reviewer decision logged with confidence score, timestamp, and PII category.

Deploy on-premises, private cloud, SaaS, or hybrid. Full control over where footage is processed.

Yes. VIDIZMO Redactor scans every frame of the video and detects all faces present. Each face is tracked across the full recording and masked automatically. A human reviewer verifies the output before export.

Yes. Selective redaction designates one individual to remain visible while every other face in the scene is automatically masked. This works across the full duration of the recording.

Yes. The AI handles crowd density, overlapping movement, partial occlusion, and varying distances. Detections are flagged with confidence scores so reviewers can prioritize verification in complex scenes.

Yes. The audio track is transcribed and scanned for spoken names, addresses, phone numbers, and other PII. Flagged segments are muted or bleeped in the same workflow as the video redaction.

Yes. Once the redacted file is exported, the original pixel data in masked regions is permanently altered and cannot be recovered. The original unredacted file is preserved separately.

AI detection processes video significantly faster than manual frame-by-frame blurring. The remaining time is spent on human review and approval. Bulk batches of hundreds of files can be processed overnight.