AI Video Detector
Pricing
- Free Tier
- Guest daily quota of 1 check
Summary
You share a video, someone calls it AI-generated, and you have nothing but your own eyes to push back with — no signal breakdown, no artifact scan, no documented evidence. AI Video Detector exists for that moment.
The tool accepts public social video links or direct file uploads and runs them through a six-stage pipeline covering frame-level visual artifacts, motion consistency, compression patterns, audio-video sync, and source metadata. Link-based scanning is the faster path, but public media access is not guaranteed — TikTok and X/Twitter links are in beta, Instagram and YouTube return limited results, so upload is the reliable fallback. Results are likelihood scores, not verdicts; the report is structured for evidence review, not for automated action. Teams that need a fast first-pass check before publishing or escalating will find the workflow fits. Teams expecting API integration into a moderation pipeline will hit a wall immediately.
Bottom line: Use it as a documented first-pass screen before a journalist publishes a suspicious clip — but plan a different stack the moment you need this check to run automatically inside a content moderation queue.
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Pros
Sign in to edit- Six-signal evidence breakdown instead of a single probability score, so reviewers can cite which artifact categories were checked when documenting why a video was flagged or cleared.
- Public link scanning for supported platforms skips the download step, so a fact-checker working on deadline does not need to pull the file before getting an initial read.
- Stage-by-stage progress reporting shows which checks are blocked by media access limits, so you know immediately whether the result is a full scan or a partial one — rather than discovering the gap after the fact.
- Upload path bypasses platform access restrictions, so clips from platforms with limited public media access still get the strongest available frame, motion, and timeline analysis.
- Report is framed as evidence for human review rather than an automated decision, so it fits compliance-conscious workflows where a person must sign off before action is taken.
Cons
Sign in to edit- No API exists, so any team that needs detection to run inside an automated moderation pipeline cannot use this tool — the only path is manual submission, one video at a time, and teams with volume requirements switch to vendors offering programmatic access.
- Instagram and YouTube link scans return limited results by the vendor's own description, meaning any workflow built around those platforms cannot rely on link scanning and must source original files — which adds a manual step that defeats the speed advantage of link-based review.
- Guest submission quota is capped, and deeper analysis is a paid-only feature, so a team stress-testing the tool during evaluation will hit the ceiling before seeing the full report quality they would get in production.
- Detection is likelihood-based with no stated accuracy benchmarks on the page, so a team that needs to defend a moderation decision to a legal or editorial standard has a report documenting what was checked but no published false-positive rate to cite.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-05T22:22:44.089Z
Best For
Who it's for
- Journalists and fact-checkers
- Content reviewers needing evidence reports
- Users verifying public video links
What it does well
- Screen suspicious social videos before sharing
- Verify videos from breaking news events
- Compare multiple uploads of the same clip
- Identify potential AI artifacts in faces, hands, or audio
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Frequently Asked Questions
- Is AI Video Detector free?
- AI Video Detector has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is AI Video Detector open source?
- No — AI Video Detector is a closed-source tool. Source code is not publicly available.
- What platforms does AI Video Detector support?
- AI Video Detector is available on: Web.
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Curated lists that include this category
AI Video Detector takes a public social video URL or an uploaded file and runs it through a staged analysis pipeline that checks visual artifact signals, motion and temporal consistency, compression and encoding patterns, audio-video sync, and source detail signals. Each stage reports its own progress and confidence score independently, so partial results surface even when some signal groups cannot be reached. The final output is a likelihood-based report assembled from whichever signals were accessible — not a binary pass/fail, but a structured evidence document you review yourself.
The clearest differentiator is the evidence report format. Rather than returning a single AI-probability percentage, the tool breaks findings into six named signal groups and only shows numeric scores for signals that were actually sampled. That structure makes the report defensible — a journalist or moderator can cite which artifact categories were checked and what confidence level each returned, rather than pointing to a black-box score.
The tool fits a manual review workflow: a fact-checker spots a suspicious clip, runs it through before deciding whether to publish or escalate, and keeps the report as documentation. It breaks when the volume of videos requiring review exceeds what a person can submit one at a time — there is no API, no batch upload, and no integration path. Teams moderating content at scale will exhaust the guest quota and find no programmatic way to continue; at that point the path forward is a vendor with an API or a self-hosted detection pipeline. Link scanning for Instagram and YouTube is described in the docs as returning limited results, so any workflow depending on those platforms needs upload access to the original file.