Drag and drop a video file hereor click to browseThe scanner is getting ready.
Hybrid AI video analysis
AI Video Detector Online Check If a Video Is AI.
Upload a video or paste a public link to check for AI-generated content, deepfakes, and video manipulation. DetectVideo AI analyzes visual, motion, audio, metadata, and source signals to deliver one clear, evidence-based result.
Check a Video for AI
Upload a file to begin a complimentary check, or use a supported public link with an eligible paid scan pack. The scanner shows current limits and available analysis modes before submission.
Paste a video link
Analyze supported public video links from YouTube, Instagram, TikTok, X, Facebook, Vimeo, Direct video.
For the strongest evidence, use an accessible public link. If source access is limited, upload the original video for Full Video Analysis.
Sample video preview
Ready for analysis
00:25
Demo video information
Signal modules
Visual evidence
Temporal evidence
Source inspection
What we analyze
- AI-generated video signals
- Temporal and motion consistency
- Compression, codec, and source patterns
From upload to evidence
Four focused steps
- 1Secure input
- 2Media inspection
- 3Frame review
- 4Explainable result
Need more analysis capacity or returning to a purchase?
- Upload a video file
- Use a supported public link
- Interpret results as evidence
Multiple detection engines. One clear evidence view.
Detect Video AI combines complementary model outputs with technical video evidence, then organizes the strongest available signals into a report built for practical review.
See how the analysis worksProvide the strongest source
Upload the original file when available, or begin with a supported public link when that is the best evidence you can access.
Run the hybrid analysis
GPU-accelerated processing reviews available frame, temporal, audio, compression, metadata, and source signals through multiple detection models.
Review the evidence together
Use the AI likelihood, evidence coverage, detailed findings, and source conditions together to support a well-informed verification decision.
AI video detection guide
How to Check If a Video Is AI-Generated
To check if a video is AI-generated, start with the best available file or supported public link, run an AI video detector, then review its findings alongside the source and context. DetectVideo AI brings available visual, motion, audio, metadata, compression, and source signals into one evidence view. An AI video checker can help you decide what needs closer inspection; one unusual face, hand, or reflection is not proof. Ask what was actually analyzed, which evidence was unavailable, and whether ordinary editing or compression offers another explanation. To answer “Is this video AI?” responsibly, compare the technical result with the earliest credible upload and any independent evidence. The guide below explains that workflow, including deepfake checks, public-link limitations, and when a clip needs further verification.
The original file usually preserves more frame, motion, audio, codec, and metadata evidence than a repost, download, or screen recording.
Use the AI likelihood with evidence coverage, detailed findings, source conditions, and any signal groups that could not be reviewed.
Use the result as evidence
An AI video checker can identify patterns that deserve attention, but it cannot establish authorship, intent, or the full history of a clip by itself. For important decisions, compare the technical report with the source, surrounding claim, and independent corroboration.
Explore AI detection, deepfake checks and video evidenceA practical guide to checking a clip and interpreting the result
What an AI video detector can check
AI-generated video detection looks for patterns consistent with synthesis or manipulation in the media supplied. DetectVideo AI combines available signal groups rather than treating one frame as a verdict. Coverage depends on the file, source access, and analysis mode. The evidence table separates useful clues from conclusions they cannot establish alone.
| Evidence | Useful question | Limit |
|---|---|---|
| Visual and motion | Do details and movement remain consistent across frames? | Compression, blur, filters, or camera processing can also produce unusual detail. |
| Audio and speech | Does available sound agree with the visible sequence? | Dubbing, editing, poor sound, or absent audio can limit interpretation. |
| Metadata and encoding | What technical history survives in this copy? | Missing metadata or an editing-software tag is not proof of deception. |
| Source and provenance | Where did the clip appear, and what history is verifiable? | A known source does not independently establish that every claim is true. |
A useful review explains both the findings and the missing evidence. Do not infer a specific generator, creator, or recording event from appearance alone.
Understand AI video analysis signalsHow to check if a video is AI-generated
Begin with a specific question: is the scene generated, has a person or object been altered, or is genuine footage being miscaptioned? Those questions require different evidence. A short workflow helps keep the detector result connected to the claim you need to check.
- Preserve the strongest copy and record the public source, caption, and relevant timestamps.
- Use the scanner to submit an authorized file or currently supported public link.
- Read the origin assessment with evidence coverage and the detailed findings.
- Review flagged moments in context and compare the earliest credible source.
- State what the evidence supports, what remains uncertain, and the next check needed.
Do not repeatedly alter the input until a preferred answer appears. Keep versions separate so you know which copy each result describes.
Start a video checkAI generation, deepfakes and conventional editing
A fully generated scene is different from a real recording with a replaced face or altered speech. Deepfake checks concern manipulated identity or performance; broader AI video detection may concern a synthetic scene, generated regions, or other AI-related changes. A clip can combine these techniques with ordinary recorded footage.
Conventional editing includes cuts, captions, color correction, reframing, and audio cleanup. It does not automatically make a video AI-generated or deceptive. The important question is whether a change affects the claim. Removing the question before an answer can mislead without producing an unusual pixel. Conversely, a clearly labeled generated animation need not be presented dishonestly.
Keep these conclusions separate: evidence of processing, evidence of synthesis, and evidence that an event was misrepresented. A technical finding about one does not establish all three.
Review identity-focused deepfake checksUsing an original file or a supported public link
Use an untouched original file when you can access it legitimately. A download or screen recording may discard detail, audio quality, or metadata before analysis begins. Submit only media you are authorized to process, and review the Privacy Policy before sharing sensitive material. The scanner shows current file, duration, and usage rules.
For a public YouTube or social-video link, check the sources and eligibility shown by the live scanner. Supported-link analysis is available with eligible paid scan packs. Public visibility does not guarantee that the media stream can be retrieved: login restrictions, removal, or platform access conditions can prevent it. If only public source evidence is available, read the reported mode and coverage rather than assuming every frame was analyzed.
If access is limited, an authorized original-file upload may provide a stronger basis for review.
Why compression and enhancement can affect results
Compression reduces the information retained in a video. Repeated sharing, transcoding, or screen capture can soften textures, introduce blocks around movement, alter timing, and remove technical context. These changes can obscure useful evidence or resemble some patterns associated with synthesis. Missing metadata is common after sharing and is not itself proof of manipulation.
Enhancement is another layer. Denoising, sharpening, filters, stabilization, or inserted frames can change how genuine footage looks. Do not enhance a clip merely to make it “easier to detect.” Keep the original and document any processed copy separately. If the processed version is the subject of the investigation, say so when interpreting its result.
Compare suspicious detail with nearby regions and moments. A pattern affecting the whole fast-moving frame may have a different explanation from an isolated change.
Understand file history and metadata limitsHow to interpret a video-checker result
Read the origin assessment together with evidence coverage, detailed findings, and source conditions. A number without that context cannot tell you which question was answered. Ask whether the report concerns the full media, a limited source view, or a copy whose quality restricts the available checks.
A result with fewer strong AI-like indicators does not prove an untouched camera original. A suspicious result does not establish deliberate deception. Review the strongest findings, consider ordinary processing as an alternative explanation, and check whether the relevant evidence agrees across the clip. Avoid translating likelihood into a claim about a particular creator or an exact generator.
For example, technical evidence can help investigate altered footage but cannot resolve whether its caption gives the correct date or location. Preserve an unresolved conclusion when the available material cannot support a stronger one.
Put authenticity findings in contextFinding the original source of a suspicious clip
Before deciding that a clip is synthetic, look for an earlier or longer version. A short extract may omit an explanation, reuse old footage, or pair a genuine scene with an inaccurate caption. Save the public URL, account name, posting context, and the claim under review. An upload date describes publication, not necessarily the recording time.
Search a few distinctive frames and relevant phrases rather than relying only on the viral caption. Compare matching backgrounds, sequences, and source accounts. A match may be a repost rather than the original, so follow the trail and record uncertainty. Multiple copied posts are not necessarily independent corroboration.
Source discovery is a separate task from detector scoring. Use the detailed guides for frame selection, search methods, and timestamp interpretation instead of treating an automated result as a complete publication history.
When a video needs further verification
Escalate beyond a quick check when a video could influence a payment, allegation, safety decision, or public claim. Preserve the original, document what you reviewed, and seek independent confirmation of the event, identity, date, and location. For a payment request, verify through a trusted channel rather than relying on how convincing a person looks or sounds.
Provenance records and Content Credentials can add verifiable history where available. They are a different evidence layer from detection and do not independently establish the truth of the depicted event. Their absence is not proof of forgery. For consequential cases, an appropriately qualified reviewer may need the original files and a documented process.
The goal is a proportionate conclusion: explain the technical findings, separate them from contextual claims, and identify the evidence needed next. Keep both unsupported certainty and unsupported accusations out of the review.
Videos analyzed by DetectVideo AI
Completed video checks processed for deepfake, manipulation, and synthetic-media signals.
18,881,022AI video detection FAQ
How can I check whether a video is AI-generated?
Use an authorized original file or a currently supported public link in the scanner. Review the origin assessment with evidence coverage and detailed findings, then compare the source and context. Treat the result as supporting evidence rather than a complete verdict.
Is an edited video necessarily AI-generated?
No. Trimming, captions, color correction, and audio cleanup are ordinary edits. AI generation or identity manipulation is a different question. Consider what changed and whether it affects the claim made about the video.
Can I check a public YouTube or social-video link?
Eligible paid scan packs support selected public-link workflows. Check the live scanner for supported sources and current restrictions. An accessible page does not guarantee access to its video stream; the reported mode and evidence coverage explain what could be reviewed.
Is there a free way to start a video check?
The scanner provides complimentary file analysis subject to its current availability, upload, duration, usage, and cooldown rules. Check those live limits before submitting. Complimentary access is not unlimited and does not include every paid workflow.
Can compression, filters or screen recordings affect the result?
Yes. They can change detail, timing, audio, encoding, and metadata, altering the evidence available for analysis. Preserve the original when possible and keep processed versions separate. Interpret any finding against the condition of the exact copy submitted.
Does a detector result prove that a video is real or fake?
DetectVideo AI provides a detailed, evidence-based assessment of whether a video shows signs of AI generation or manipulation. By evaluating available detection signals and presenting clear supporting findings, it helps you understand suspicious content and make more informed decisions with confidence. While no automated detector can guarantee absolute certainty in every situation, combining DetectVideo AI's analysis with source and context verification provides a stronger foundation for assessing video authenticity.
Turn a suspicious video into evidence you can review.
Run the hybrid analysis, inspect the strongest available signals, and move forward with clearer technical context.