Pricing & Licensing

Redaction software permanently removes or obscures sensitive information (PII, PHI, classified data) from files before public release or sharing. Modern tools like VIDIZMO Redactor use AI to automatically detect faces, license plates, spoken names, and 40+ PII categories across video, audio, images, and documents.

DOTs must redact video to remove faces, license plates, house numbers, and sensitive infrastructure details that appear in traffic or curb footage. Redaction ensures compliance with CPRA/FOIA while protecting resident privacy and safeguarding critical city assets.

Manual redaction averages two to four minutes per page. Automated redaction processes documents in bulk. A 1,000-page batch runs through AI detection and redaction as a single job, with human review focused only on flagged exceptions (typically 2 to 4 hours for the batch rather than 33 to 67 hours of page-by-page manual work). The exact savings depend on document complexity and PHI density.

Video redaction in DSAR compliance refers to the process of removing or obscuring personal data from video recordings before sharing them with a data subject. This may include blurring faces, masking license plates, removing audio containing names, or hiding other identifying details to protect third-party privacy.

AI automates the most time-consuming parts of investigation: transcribing interviews and body camera audio, translating across languages, detecting faces and license plates in video, and surfacing patterns across large evidence sets. The work that once took an analyst hours typically completes in minutes, freeing officers to focus on judgment-intensive tasks.

AI redaction is typically faster than manual redaction by at least an order of magnitude on recurring content, though the exact difference depends on the recording length, complexity, and the quality of the model on the organization's content. Most of the remaining time in an AI workflow is the human review step, not the detection. Throughput gains are usually largest on longer recordings with many independent pieces of sensitive content.

Most enterprise-grade tools can automatically detect and redact:

• Faces of bystanders, minors, and employees
• Vehicle license plates and identifying markings
• On-screen text, ID badges, and confidential displays
• Audio conversations captured alongside CCTV footage

Unlisted videos still sit on a public platform and stay accessible to anyone who gets the link. Password-protected videos rely on one shared credential that gets forwarded along with the password. Real private video hosting ties access to specific users through SSO or login, with per-user audit logs, so a forwarded link doesn't bypass the privacy controls.

Enterprise VOD serves identified internal audiences with role-based access, audit logging, single sign-on, and compliance certifications such as HIPAA, FedRAMP, or SOC 2. Consumer services like Netflix focus on public monetization through subscriptions or ads. The technical foundations overlap, but enterprise platforms add the security and governance controls that regulated industries require.

Government videos often contain sensitive information such as faces of minors or bystanders, license plates, addresses, computer screens, documents, and personal details captured in audio. Proper redaction ensures that protected information is not disclosed during public release.

Manual redaction is extremely time-intensive. Industry data shows that manually redacting a single 10-minute body camera video typically requires 8 hours of specialized work. This includes frame-by-frame review to track faces, identify license plates, review audio for spoken PII, and conduct quality control checks. For a 45-minute domestic disturbance call, agencies may need 36+ hours of redaction work. This creates significant backlogs, especially for agencies receiving hundreds of FOIA requests monthly. Automated AI-powered redaction tools can reduce this time by 85-90%, processing the same 10-minute video in approximately 30-60 minutes with human oversight.