Detect AI-cloned and manipulated speech across calls, media and uploads — in real time, on your own infrastructure.
Drag-and-drop, upload, or capture a live call or stream. SPIRON ingests common codecs and channels — no pre-processing required.
Multiple acoustic models scan thousands of micro-signals per second to isolate the synthesis artifacts legacy tools miss.
A clear authentic-or-synthetic decision with a confidence score — returned the moment analysis completes.
Audio is analysed in short overlapping windows of about four seconds. Every window gets its own verdict and confidence, so you see exactly where synthetic speech appears — second by second — with a full evidence trail. Mixed or partial deepfakes are caught, not averaged away.
Detects TTS, voice conversion, and replay attacks.
Designed to work across channels, codecs and languages
Works on 8 kHz, compressed telephone audio.
Catches what humans and legacy tools miss.
POST /v1/detect (audio=@call.wav) { "verdict": "synthetic", "confidence": "high", "attack_type": "voice_conversion", "windows": [ { "t": "0:00", "label": "authentic" }, { "t": "0:08", "label": "synthetic" } ], "evidence_uri": "/v1/reports/8821" }
Full data residency, regulation-friendly. Nothing ever leaves your perimeter.
Run in your own VPC or split workloads across on-prem and cloud.
Call a managed endpoint when you don't need local hosting.
Bring your hardest samples — authentic or synthetic — and watch SPIRON call it, window by window.
Voice analysis, emotion detection and automated reporting for modern call centers.