Pixel-Level Manipulation
Detects regions where pixels have been altered, spliced, or generated, even when the changes are imperceptible to the human eye.
Evidence Verification
Authenticate Video Evidence
AI-generated video can fabricate events that never happened. Verify evidence integrity for legal, insurance, and investigative use cases.
Legal Forensics
Insurance Claims
Digital Integrity
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Supported formats: MP4, MOV, AVI, WebM
Maximum file size: 500MB
Privacy-first: Your videos are never stored
Understanding the Threat
How Fabricated Video Evidence Is Used
AI-manipulated video evidence follows a chain of creation that exploits the assumption that video cannot be easily faked.
- 1
Scenario Fabrication
The fraudster identifies a scenario they need to "prove" — a staged accident, a fabricated altercation, or a false workplace incident — and gathers source footage.
- 2
AI Manipulation
Using deepfake tools, they alter faces, add or remove people from scenes, change timestamps, or fabricate entire sequences of events.
- 3
Evidence Submission
The manipulated video is submitted as evidence in legal proceedings, insurance claims, HR investigations, or regulatory disputes.
- 4
Exploitation
If the fabrication goes undetected, it can lead to wrongful judgments, fraudulent payouts, false convictions, or destroyed reputations.
Detection Technology
What Our Detector Analyzes
Our forensic-grade analysis examines video evidence across multiple integrity layers.
Audio Integrity Analysis
Checks for audio splicing, overdubbing, synthetic voice insertion, and mismatches between ambient sound and the visual environment.
Frame Sequence Integrity
Analyzes the continuity of frame sequences to detect inserted, deleted, or reordered frames that indicate temporal manipulation.
File Provenance Analysis
Examines container metadata, encoding history, and device signatures to determine whether the file has been re-encoded or processed through AI generation tools.
Why It Matters
Real-World Impact
Courts and legal systems are increasingly grappling with the challenge of AI-generated evidence. Insurance companies report a rise in suspicious video claims, and several high-profile cases have been complicated by questions about video authenticity. As deepfake technology becomes more accessible, the integrity of video evidence can no longer be taken for granted.
Step-by-Step Guide
How to Verify Video Evidence
Follow a rigorous verification process to establish the integrity of video evidence before it is relied upon.
1
Preserve the Original File
Obtain the video in its original format with full metadata intact.
Chain of custody matters. Document who provided the file, when, and through which channel. Avoid re-encoding or compressing before analysis.
2
Run Multi-Layer AI Analysis
Upload the evidence video for comprehensive deepfake and manipulation detection.
Our system examines visual manipulation, audio integrity, temporal coherence, and file metadata to produce a holistic authenticity assessment.
3
Document the Detection Results
Export and preserve the detection report with timestamps and confidence scores.
The report can serve as supporting documentation for legal filings, insurance investigations, or internal proceedings.
4
Engage Forensic Experts if Needed
For high-stakes cases, combine AI detection with human forensic analysis.
Our detection results can guide forensic examiners to specific frames or segments that warrant deeper investigation.
Frequently Asked Questions
Is your detection report admissible as evidence in court?
Our report provides a technical analysis that can support expert testimony. Admissibility depends on jurisdiction and case context. We recommend consulting with legal counsel about how AI detection evidence is handled in your jurisdiction.
Can you detect subtle edits like removing a person from a scene?
Our system detects a range of manipulations including face swaps, object removal, and scene fabrication. Subtle frame-level edits may require forensic-grade analysis for conclusive determination.
How does this compare to traditional forensic video analysis?
AI detection complements traditional forensics. Our tool provides fast initial screening that can flag suspicious content for deeper forensic examination. Traditional methods examine physical evidence at the bit and pixel level.
Can insurance companies use this for claim verification?
Yes. Insurance investigators can use our tool to screen video evidence submitted with claims. Flagged videos can then undergo further investigation before claims are processed.
What types of video manipulation are hardest to detect?
Small temporal edits such as removing a few frames or slightly altering timestamps are among the hardest to detect. Our temporal analysis is designed to catch these, but extremely subtle edits may require combined AI and human forensic analysis.
Related Use Cases
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