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AI video evidence

How AI Video Detection Works

AI video detection looks for signals that may suggest AI generation, deepfake editing, or manipulation. The result is a likelihood-based screening report, not proof.

Important: Reports are likelihood-based screening aids. They are not proof that a video is real or fake.

AI video check

Check a public link or upload the original video

Public TikTok and X/Twitter links are in beta when accessible. Instagram and YouTube links may return limited link scans. Upload the original file for the most reliable frame, motion, and timeline analysis.

YouTubeTikTokInstagramX / TwitterUpload

Option 1

Fastest

Best-effort for supported public social video URLs. If public media is unavailable, upload the original video for deeper analysis.

Option 2

Deeper scan

Use upload when you need the strongest available frame, motion, and timeline analysis.

By clicking Check a video link, you confirm you have the right to submit this video link for analysis and understand results are likelihood-based, not proof.

Estimated credits depend on video size and duration. Detected platform: Unknown.

Live analysis process

Professional evidence workflow

Follow the analysis pipeline below the detector. Progress is stage-based and evidence scores are only shown for signals that can be checked.

Likelihood-based · not proof
  1. 1Input
  2. 2Access
  3. 3Media
  4. 4Queue
  5. 5Analyze
  6. 6Report

Check progress

Step 0 of 6

How the check works

Paste a public video link or upload a video you have the right to analyze. We show what can be checked, what may be limited, and how to read the result.

Ready when you are · stage-based progress

Analysis timeline

Evidence pipeline progress

Each stage shows local progress. Timing is stage-based and depends on media access and plan limits.

Stage-based
  1. 1

    Checking input

    Validate the URL, file, consent, and supported video source.

    Running

    35% · Running

  2. 2

    Checking access

    Run security checks and see what media can be reached safely.

    Pending

    0% · Pending

  3. 3

    Preparing media

    Upload, resolve, or prepare accessible video signals for analysis.

    Pending

    0% · Pending

  4. 4

    Queue

    Place the scan in the analyzer queue with plan-based priority.

    Pending

    0% · Pending

  5. 5

    Extracting signals

    Read frames, motion, metadata, compression, and audio/video signals when available.

    Pending

    0% · Pending

  6. 6

    Building report

    Assemble likelihood, confidence, limitations, and recommendations.

    Pending

    0% · Pending

Signal checks

Evidence signal readiness

During analysis, this panel shows process status only. The formal six signal groups appear in the completed result below.

Process status

Source/media access

Waiting for the analyzer to confirm source and media access.

Pending

Pending

Visual artifact signals

Numeric scores appear only after visual evidence is actually sampled.

Pending

Pending

Motion/temporal consistency

Numeric scores appear only after temporal checks complete.

Pending

Pending

Compression/encoding patterns

Numeric scores appear only after compression and encoding checks complete.

Pending

Pending

Audio-video consistency

Numeric scores appear only when audio/video evidence is available.

Pending

Pending

Source detail signals

Source detail checks appear only when media or source metadata is available.

Pending

Pending

The 3-step workflow

Link-based scans depend on public media access. TikTok and X/Twitter are beta when accessible, Instagram is best-effort, and YouTube may return limited public-link signals. Upload is the most reliable path for full frame analysis.

  • Paste a public video link or upload the original video file.
  • Review what can be checked and what may fail.
  • Read likelihood, confidence, suspicious signals, unchecked signals, limitations, and next steps.

What signals may be reviewed

  • Visual signals: faces, hands, object edges, backgrounds, reflections, and texture clues.
  • Motion signals: flicker, warping, repeated movement, and unusual changes between frames.
  • Audio-video consistency signals when readable audio is available.
  • Source clues from the public page when available.
  • Limit signals: video quality, length, compression, edits, and what could not be checked.

Why detectors can be wrong

Social videos are often edited, compressed, cropped, reuploaded, or screen-recorded. A real video can look strange after heavy compression. An AI-edited video can contain real footage. A short clip may not show enough evidence.

That is why AI Video Detector separates likelihood from confidence and explains limitations on every report.

FAQ

Questions this page answers

What happens before a scan starts?

The page checks that the input looks like a supported video link or an uploaded video file and that you confirmed submission rights.

What signals are strongest for uploaded files?

Uploads can provide clearer frame, motion, duration, and timeline signals than a restricted public link.

When should a person review the result?

Use human review whenever the result could affect a person’s reputation, a news claim, safety, or money.