Is this media Real or AI?
Review image, video, and audio content with clear authenticity signals, readable confidence scores, and a workflow designed for actual verification, not guesswork.
Swipe left or right on touch devices to move between image, video, and audio demo results.
Synthetic texture patterns and generator-style artifacts detected. High confidence match with known generators.
Detected generators
→ Diffusion artifacts + lighting patterns
→ Text rendering inconsistencies
Live app
Auth, database, and scan flow already running in production
3 media
Built around image, video, and audio authenticity review
Fast loop
Create a scan, run analysis, and review results in one place
Credits
Wallet-driven usage model ready for product growth
Built for creators, analysts, and trust teams who need clearer authenticity signals.
Built for clarity, not clutter
Everything realvs needs to feel like a serious authenticity product, not a thin demo skin.
Unified scan flow
Start from one clean surface and move from media input to result review without switching tools.
Evidence-led output
Read confidence, verdict, and scan context in a way that supports actual human review.
Live product foundation
Realvs already runs with auth, database wiring, wallet logic, and processor-backed scans.
Coming soon
Scan history
A stronger review workspace for revisiting past decisions and scan activity.
Team workflows
Collaboration-friendly review paths for moderation, media ops, and trust teams.
Shareable reports
Cleaner exports and summaries for clients, evidence, and internal review.
Developer API
A productized interface for embedding authenticity checks into external systems.
Broader ingestion
Expanded support for more input paths beyond the current direct media workflow.
How it works
Three steps to move from media input to a more readable authenticity decision.
Paste a direct media source
Start with the current realvs input flow and create a scan around the content you want to verify.
Run analysis through the scan pipeline
The app processes the request, executes the configured detector layer, and records the result state.
Review a clearer authenticity signal
Read verdict, confidence, and scan output in a format built for decision-making, not guesswork.
Important note
Authenticity detection should be treated as a confidence signal, not absolute proof. Realvs is designed to support review and triage, with humans still making the final call.
Deep scan analysis
Realvs presents authenticity analysis as a layered review surface built from multiple detection signals.
Visual artifacts
Surface-level inconsistencies, rendering defects, and synthetic image traces.
Temporal patterns
Frame-to-frame instability, motion irregularities, and sequence drift.
Audio markers
Voice synthesis clues, spectral anomalies, and cloned speech indicators.
Metadata clues
Container, codec, and file-level evidence that supports deeper review.
Compression traces
Re-encoding patterns and artifact signatures left during media generation.
Face consistency
Facial geometry, blending issues, and deepfake-style mismatch signals.
Generator fingerprints
Patterns associated with known AI generation and editing pipelines.
Confidence fusion
Multiple signals combined into one readable authenticity decision.
Risk scoring
A verdict layer built to help teams prioritize suspicious content faster.
Analyst review
Readable output designed for human verification, not black-box guessing.
Choose your plan
Start free, add credits when needed, or upgrade for a stronger ongoing workflow.
Free account
Free
Get into the product and start with the core experience.
Sign upCredits
Usage-based
Buy scan capacity when you need flexible volume without committing to a plan.
Open billingPremium
Monthly plan for ongoing verification
For heavier usage, repeat review, and a more stable operating mode inside the product.
UpgradeWant to explore first? Start with a free account