AICATCHER
Enterprise-grade deepfake voice detection — on mobile, on the web, and via API.
One Engine,
Three Ways to Deploy
AICATCHER detects AI-generated voices with a state-of-the-art model — the same award-winning engine, available in the form factor your workflow needs.
- Real-time detection across streaming, calls, and media
- Immediate defense against voice fraud
- Server API available for enterprise integration
Choose Your Access
On Your Smartphone
iOS and Android app. Detection on calls, streams, and recordings — anywhere you take your phone.
From Any Browser
Drag, drop, analyze. Upload audio files or paste media URLs for instant forensic-grade reports — no install required.
In Your Stack
Same detection engine accessible via server API. Built for integration with internal workflows at scale.
Built for the Field
Detect While You Stream
Sub-second analysis on live streams, ongoing calls, and recorded media — no waiting for batch processing.
Decisions in Under a Second
0.5-second inference time per clip. Designed for live verification, not post-event review.
Benchmarked, Not Theoretical
Validated on ASVspoof 2021 DF and real-world field datasets — performance you can defend in a procurement review.
Beyond the App
Same detection engine accessible via server API for teams that need integration with internal workflows.
How AICATCHER Works
Capture
Record, import, or pull from device storage.
Detect
Model analyzes the audio in under a second.
Verify
Get a real/fake verdict with confidence score.
Act
Export, share, or escalate findings.
Built for the Frontline
From newsrooms to investigations — AICATCHER serves the teams who verify voice in the moment, not after the fact.
Journalists
Verifying source audio in the field before publication.
Law Enforcement
On-scene verification during active investigations.
Corporate Security
Executive protection against vishing and voice impersonation.
Compliance Teams
Auditing recorded calls for synthetic voice content.