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Privacy redaction

Blur faces in video before publishing, sharing, or archiving sensitive footage.

Ceptory helps teams anonymize people in interviews, surveillance exports, workplace clips, and public-facing media without losing the rest of the scene.

Use case

Face blur for video privacy

Face blur becomes operationally useful when teams need privacy protection without destroying video context. Ceptory applies AI face blur across footage that still needs to support communication, review, evidence handling, or external publication.

Redaction target

Faces

Protect customers, employees, interview subjects, and bystanders across video workflows.

Primary fit

Privacy-safe sharing

Use for public release, internal distribution, redacted evidence, and knowledge bases.

Output format

Blurred export

Generate versions safe for publishing, review, or controlled handoff.

Why teams use it

Move from recorded footage to operational decisions with less manual replay.

Teams often have video that is useful to share or review but cannot be distributed safely because identities remain visible. Manual redaction is slow, inconsistent, and difficult to scale across larger libraries.

Ceptory turns privacy-sensitive footage into review-ready and share-ready video by applying consistent face blur while preserving the rest of the moment, sequence, and scene context.

What Ceptory indexes

Automatic face detection and identity-sensitive redaction across changing scenes

Consistent masking across moving subjects and different camera angles

Context-preserving anonymization that leaves the rest of the footage operationally useful

Review-ready exports for internal sharing, publication, and evidence handling workflows

Workflow

One review path from ingest to downstream action.

01

Ingest footage that needs privacy controls

Bring interviews, surveillance clips, public-facing footage, and internal recordings into a governed redaction workflow.

02

Detect faces across the relevant sequence

Track visible identities through movement and scene changes so blur remains consistent across the whole clip.

03

Apply privacy-safe exports

Create blurred versions before publishing, internal distribution, or downstream review.

04

Keep a human review loop

Validate the redaction result before a clip is distributed, archived, or used externally.

Outputs

Redacted video export

Privacy-safe clip versions for publication, review, and controlled sharing.

Review packet

Redacted clips paired with timestamps and context for analysts, editors, or reviewers.

Archive-safe asset

Versioned footage prepared for internal libraries and governed storage workflows.

Deployment

Run face blur inside cloud, private cloud, or on-prem environments depending on privacy and retention policy.

Keep redacted and original assets aligned with role-based access controls and export boundaries.

Route privacy-safe outputs into publishing tools, case systems, and internal knowledge platforms.

Review loop

Teams retain a human approval step before redacted footage is published or externally shared.

Reviewers can validate blur quality and privacy coverage against the exact underlying sequence.

Final release decisions remain inside human-controlled editorial, legal, or compliance workflows.