Pre-publication privacy review

Find sensitive information before a video is shared.

VideoLens Privacy mode reviews sampled frames, on-screen text, and transcript content for potential credentials, personal information, internal URLs, account details, and other material that may require redaction.

Updated 2026-07-18 · Open source · MIT licensed · Bring your own OpenAI API key
Transcript + frame vision + OCR
Timestamp citations
~1,500 supported platforms
Markdown, PDF, and JSON
The direct answer

What VideoLens does

Screen recordings and demos can accidentally expose secrets in terminals, browser tabs, notifications, account menus, customer records, or spoken discussion. Manual review is necessary, but long recordings make brief exposures easy to miss.

VideoLens produces a prioritized list of possible exposures with timestamp evidence and suggested redaction actions, giving the reviewer a faster checklist before publication or wider distribution.

Why it helps

From linear video to reviewable evidence

Visible secret review

Flags potential API keys, tokens, credentials, internal hostnames, and account identifiers seen in sampled frames.

PII and business context

Surfaces names, emails, addresses, customer data, private conversations, and other possible disclosure risks.

Redaction checklist

Turns each validated finding into a timestamped edit or review task.

Workflow

How the analysis works

Every stage is explicit and cached so the source can be checked and the analysis can be reused.

Provide the video locally or through a permitted accessible source.
Choose Privacy mode and specify the audience or disclosure standard you care about.
VideoLens scans the transcript, frame descriptions, and OCR timeline for potential exposures.
A human reviewer validates each cited moment and performs the necessary redaction or edit.
Output

What the report gives you

  • Potential sensitive-data findings
  • Timestamp and evidence for each item
  • Severity and exposure context
  • Prioritized redaction and verification tasks
Important limitation: This is a sampled, AI-assisted review—not a guarantee that every exposure will be detected and not a replacement for legal, compliance, or professional security review. Increase frame sampling for high-risk material and always perform final human review.
FAQ

Common questions

Can VideoLens guarantee a video contains no sensitive data?

No. Sampling and model interpretation can miss brief or unclear exposures. Privacy mode is an additional review layer, not a certification or substitute for human inspection.

Does Privacy mode upload the video to VideoLens servers?

The local and extension workflows do not use VideoLens-operated video storage. Model-processing calls use your OpenAI API key. The hosted app uses ephemeral session processing.

What kinds of information can it flag?

Potential examples include credentials, tokens, internal URLs, emails, names, customer records, account identifiers, private messages, and sensitive spoken content visible to the analysis pipeline.

Turn the next video into evidence.

Try the hosted app, self-host the MIT-licensed core, or connect VideoLens to an MCP client.