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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
No single visual artifact proves that a video is AI-generated. A useful check combines frame detail, motion across time, face and lip-sync behavior, audio, metadata, compression, and source context. Detect Video AI organizes the evidence it can access and makes missing or limited evidence clear.
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 detection signals, deepfakes, social-video checks, formats and limitationsA practical guide to checking whether a video may be AI-generated or manipulated
What an AI Video Detector Checks
Detect Video AI combines multiple evidence groups because the origin of a video cannot be judged reliably from one unusual frame. The available groups depend on the source and quality of the submitted media.
Visual and frame-level signals
Frame review looks for synthetic textures, inconsistent fine detail, unstable boundaries, unusual lighting relationships, generated text, and changes that do not fit nearby frames. These patterns can help identify areas for closer review, but filters, denoising, sharpening, and heavy compression may create similar artifacts.
Motion and temporal consistency
Temporal analysis compares information across time. It can surface abrupt changes in shape, lighting, reflections, object continuity, camera movement, or fine detail that appears stable in a still image but changes unnaturally during playback.
Face, lip-sync and deepfake indicators
Face and speech checks review available facial movement, expression continuity, mouth timing, and relationships between visible speech and audio. Dubbing, low frame rates, motion blur, and ordinary editing can also affect these signals, so they must be considered with the rest of the report.
Audio, metadata, codec and compression evidence
Technical inspection can include audio relationships, container and codec details, metadata quality, encoding history, and compression patterns. Missing metadata is common after social sharing and is not proof of manipulation. It mainly reduces the context available to the review.
Understand AI video analysis signalsIs This Video AI or Real?
An AI or real video check should report evidence without claiming certainty that the file cannot support. Detect Video AI reports how strongly the available signals align with AI-generated or manipulated patterns and shows which evidence groups contributed. A lower likelihood means the reviewed evidence contains fewer strong synthetic indicators. It does not prove that a video is authentic, unedited, or presented with truthful context.
False positives are possible because ordinary processing can resemble generation artifacts. A screen recording, beauty filter, aggressive compression, interpolation, stabilization, or a very short clip may reduce evidence quality. For a high-impact decision, preserve the original file, trace the earliest source, and compare independent reporting or source material.
Learn what video authenticity checks can establishHow to Check If a Video Is AI
- Use the original file whenever possible. It usually contains more frames, audio detail, codec information, and metadata than a repost.
- Run a multi-signal check. Compare visual, temporal, face, audio, metadata, compression, and source evidence rather than relying on one clue.
- Inspect the source and surrounding claim. Find the earliest upload, publication date, account history, and any independent coverage.
- Compare technical findings with the actual footage. Review the relevant moments at normal speed and frame by frame where necessary.
- Record uncertainty. Note unavailable evidence, alternative explanations, and what would be needed for a stronger conclusion.
One strange hand, reflection, blink, or mouth movement is not enough to classify a whole video. The strongest workflow combines automated analysis, source verification, and careful human review.
Follow the source verification workflowFree AI Video Checker: What Is Available
A complimentary file scan provides a practical way to check a video under the current upload, duration, usage, and cooldown limits shown by the live scanner. Those limits are product rules and may change, so the scanner is the source of truth before submission. Complimentary access is not unlimited and does not include every paid workflow.
One-time paid scan packs provide the current capacities and features shown on the Pricing page, including eligible supported-link workflows and saved access where listed. Each live plan card shows its current limits and checkout action.
Compare current scan packsYouTube, Instagram and TikTok AI Video Checks
Eligible paid scan packs can analyze selected public links from YouTube, YouTube Shorts, Instagram, TikTok, X, Facebook, and Vimeo when the live scanner lists the source as supported. A public page is not the same as an accessible original video stream. Platform restrictions, deletion, login requirements, geographic limits, or temporary source changes can prevent retrieval.
When the original media stream is accessible, the service can run Full Video Analysis against the retrieved video. When only trustworthy public metadata and preview evidence are available, the result is clearly identified as Social Source Analysis. That limited mode does not pretend to contain signal groups that were unavailable.
Deepfake Detection vs AI-Generated Video Detection
AI-generated video detection looks broadly for evidence that some or all of a clip was synthesized. Deepfake detection focuses more specifically on manipulated identity or performance, such as face replacement, reenactment, synthetic facial movement, or altered speech and lip synchronization. A video may contain deepfake elements without being fully generated, and a generated scene may contain no recognizable person at all.
Both tasks benefit from multiple evidence groups. Face anomalies may matter in a portrait clip, while temporal consistency, scene detail, audio, encoding, provenance, and source history may be more useful elsewhere. The report should be read according to the evidence actually present in the submitted video.
Use the deepfake detection checklistHow to Get the Most Reliable Result
Submit the earliest and least compressed copy you are authorized to analyze. Keep the original resolution, frame rate, audio track, and container when possible. Adequate duration and frame variation give temporal checks more material than a very short loop or a single static scene.
Do not pre-process the file with filters, enhancement tools, format conversions, or repeated downloads unless that version is the subject of the investigation. Record where the file came from and retain a hash or untouched copy for repeatable review. If the source is a social post, save the public URL and publication context alongside the analysis.
Review video provenance methodsLimitations and False Positives
Detection quality depends on the evidence available in the input. Heavy compression can remove fine detail. Reposting and transcoding can alter codec or metadata evidence. Screen recordings add a new capture layer. Filters, denoising, interpolation, stabilization, dubbing, and beauty effects can resemble some AI-related patterns. Missing metadata is common and should not be treated as proof of deception.
Short videos, low resolution, limited frame variation, obstructed faces, noisy audio, or an inaccessible source stream can narrow the analysis. A result may therefore support further review without resolving whether a claim is true. The responsible response is to preserve uncertainty, seek a stronger source, and corroborate the event rather than force a binary conclusion.
See a broader news verification workflowSupported Video Formats
The current upload workflow accepts common video formats including MP4, MOV, WEBM, MKV, AVI, WMV, FLV, MPG, MPEG, M4V, and 3GP. Format support does not guarantee that every evidence group will be present. The file must also meet the current size, duration, and media validation rules shown in the scanner.
An original MP4 or MOV file often retains more useful context than a clip downloaded repeatedly from social platforms, but source quality matters more than the filename alone. Use the scanner to confirm the current input rules before starting an analysis.
Check the current input optionsVideos analyzed by DetectVideo AI
Completed video checks processed for deepfake, manipulation, and synthetic-media signals.
8,640,249AI video detection FAQ
Can a detector prove who created a video?
No. The report can identify technical patterns and evidence coverage in the submitted media, but it cannot establish a creator, intention, or full publication history by itself. Use source and provenance checks for those questions.
Why can two copies of the same clip produce different evidence?
Downloads, reposts, screen recordings, edits, and platform transcoding can change frames, audio, metadata, codecs, and compression. The report reflects the evidence preserved in the exact file or stream that was analyzed.
What should I do when the evidence is incomplete?
Look for an earlier or higher-quality source, preserve the original file, compare independent coverage, and record which evidence groups were unavailable. An inconclusive result should remain inconclusive until stronger evidence is available.
How is uploaded media handled?
Review the current Privacy Policy for processing and retention information. Do not submit media you are not authorized to analyze. Read the Privacy Policy.
How do I restore a purchased scan pack?
Use the Restore access page and the details issued by the purchase system. Eligible remaining scans and saved history can be reconnected without buying the pack again. Restore access.
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.