AI-Generated Evidence
Synthetic photos and videos can appear increasingly convincing.
Visual evidence verification
AI-generated images, manipulated videos, and replayed footage are making visual evidence harder to trust.
RealCapture brings live capture, intelligent verification challenges, and advanced forensic analysis together to help businesses evaluate the authenticity of digital evidence.
Challenge 1/3
Device motion · gyroscope
streamingVerification · CLAIM-12345
Authenticity assessment
01 — The problem
Generative AI and accessible editing tools have fundamentally changed what digital media can prove.
Businesses increasingly rely on customer-submitted photos and videos for claims, investigations, remote inspections, and critical decisions.
But a picture alone no longer tells the whole story.
Synthetic photos and videos can appear increasingly convincing.
Real images and recordings can be altered to misrepresent events.
Previously recorded footage can be presented as newly captured evidence.
02 — How it works
STEP 01
A business creates an incident through the RealCapture dashboard or REST API. RealCapture generates a unique verification link.
STEP 02
The recipient opens the link directly in their mobile browser. No account registration or application installation is required.
STEP 03
Guided capture challenges, available device sensor signals, and media analysis provide supporting authenticity indicators.
STEP 04
The business receives a verification result, supporting findings, and an authenticity score through its dashboard or API.
03 — Layered approach
RealCapture is designed to evaluate more than the pixels in an image.
Our layered approach brings multiple signals together to support stronger evidence assessment.
Guide users through browser-based evidence capture.
Use randomized instructions to make prerecorded evidence harder to reuse.
Compare visual movement with available device motion signals.
Analyze potential signs of manipulation and synthetic content.
Identify suspicious similarities and previously submitted evidence.
Preserve original submissions and associated capture metadata.
No single technique proves authenticity on its own — each contributes supporting indicators to a combined assessment.
04 — Assessment
Capture, challenge, sensor and forensic signals are combined into a single, explainable view.
Incident CLAIM-12345
Video · 00:14 · mobile browser
Sample score
Strong supporting indicators
Evidence coverage: High
Simulated example for illustration. Scores are not production accuracy claims.
05 — Use cases
06 — Integration
RealCapture is designed to plug into the systems your teams already use — claims platforms, case management tools and internal review queues — through a clean API and event-driven webhooks.
POST /v1/incidents
Authorization: Bearer <API_KEY>
Content-Type: application/json
{
"external_incident_id": "CLAIM-12345"
}{
"id": "inc_7Hq2Lx",
"external_incident_id": "CLAIM-12345",
"status": "awaiting_capture",
"verification_url": "https://verify.realcapture.example/c/9fK2mQ",
"expires_at": "2026-11-05T12:00:00Z"
}07 — Trust & security
Security and privacy are foundational design principles of the platform we're engineering — not features added later.
Private storage and controlled access to captured evidence.
Collect only device and sensor information relevant to verification.
Role-based authorization for company users.
Company-level evidence retention and deletion policies.
Verification findings that help users understand an assessment.
Browser permission handling and clear disclosure of captured information.
Visual evidence is evolving. The way we verify it should evolve too. Discover how RealCapture can help your organization assess photo and video authenticity.
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