SynVoiDeepfake & synthetic-voice detection engine Center AIAI-powered call center Deepfake DetectionReal human vs AI-generated voice Anti-SpoofingTTS, voice conversion & replay attacks Voice LivenessConfirm a live speaker, not a recording Speaker IdentificationIdentify who is speaking from a set Voice BiometricsVoiceprint-based identity Speech-to-TextAccurate transcription Emotion AnalysisDetect emotional state SDK & APIOne endpoint for every capability On-Premise Setup

Call-center fraudCatch vishing & cloned-voice scams live Banking & phone-authScreen voice verification for deepfakes AI customer supportAutomate calls with fraud-aware routing Contact-center & BPOFlag synthetic audio at scale Critical infrastructureAir-gapped detection for sensitive comms AI voice agentsAutomate high-volume support Media verificationAuthenticate uploaded & broadcast audio Transcription & subtitlingMultilingual speech-to-text at scale Content moderationCatch synthetic or flagged audio in UGC

Security About us

The SynVoi detection engine

The deepfake detection engine for sensitive audio

Detect AI-cloned and manipulated speech across calls, media and uploads — in real time, on your own infrastructure.

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HOW IT WORKS

From audio to verdict, in real time

Audio Input

Upload a recording or capture a live call or stream. SynVoi ingests common codecs and channels — no pre-processing required.

AI Analysis

Multiple acoustic models scan thousands of micro-signals per second to surface the synthesis artifacts legacy tools miss.

Instant Verdict

Even on a live call, the authentic-or-synthetic verdict is immediate.

EXPLAINABILITY

Not a black box. A verdict you can audit.

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.

inbound_call_8821.wav · window-by-window

inbound_call_8821.wav

Synthetic Authentic

Authentic ◀ ───colour depth = confidence─── ▶ Synthetic

AUTH−8.8

AUTH−7.8

SYNTH+7.6

SYNTH+9.2

SYNTH+8.6

SYNTH+8.0

AUTH−6.4

SYNTH+8.8

SYNTH+9.4

0:00

0:04

0:08

0:12

0:16

0:20

0:24

0:28

0:32

A 36-second clip, analysed in overlapping ~4-second windows.Analysed in overlapping ~4-second windows. Overall verdict: synthetic (partial)

ROBUSTNESS & COVERAGE

Holds up in the real world

Major attack types

Detects TTS, voice conversion, and replay attacks.

Independent of conditions

Designed to work across channels, codecs and languages

Degraded phone audio

Works on 8 kHz, compressed telephone audio.

Acoustic, not transcriptionAcoustic analysis

Catches what humans and legacy tools miss.

OUTPUT & INTEGRATION

One request, one structured verdict

A single JSON verdict: authentic / synthetic + confidence + metadata + evidence.

Backpressure-aware streams for high-throughput pipelines.

SAMPLE

detect.json

{
  "verdict": {{ pdVerdict }},
  "confidence": {{ pdConf }},
  "attack_type": {{ pdAttack }},
  "windows": [
    { "t": "0:00", "label": {{ pdW1 }} },
    { "t": "0:08", "label": {{ pdW2 }} }
  ],
  "evidence_uri": {{ pdUri }}
}

DEPLOYMENT

Runs entirely on your infrastructure — your audio never leaves your network.

RECOMMENDED

On-premise / air-gapped

Full data residency, regulation-friendly. Nothing ever leaves your perimeter.

ALSO AVAILABLE

Private cloud / hybrid

Run in your own VPC or split workloads across on-prem and cloud.

On-premise & security

See it on your own audio

Bring your hardest samples — authentic or synthetic — and watch SynVoi call it, window by window.