On-Device Anonymization

Anonymize voice directly on-device — before it enters your pipeline. No cloud. No biometric exposure.

remove the id. keep the INSIGHTS.

Advanced speech-to-speech anonymisation

biometric anonymisation

Voice identity removed

Through its proprietary gen-AI speech-to-speech solution, Nijta transforms voice data in a way that the speaker's identity becomes fully untraceable.

UNCOMPROMISED PRIVACY

Identity removed at source

Speaker identity is stripped directly on-device before any storage or transmission, while removing reliance on cloud-based processing.

Sensitive content redaction

Multilingual & high-quality

Currently available in English, French, German, Spanish & Italian. Add any new language in just one day!
Receive high-quality broadcast-ready audio.

superior fidelity

Retain all emotions & data value

Content, prosody and emotions are key to teaching your AI models and mining your data. With Nijta, your data stays 100% useful and natural, so no insight is left behind.

Zero data degradation

Maintain high audio quality

Legally guaranteed

Validated by the French Data Protection Agency (CNIL)

Irreversible anonymisation

No way back to the speaker

MAKE YOUR DATA SAFE, in seconds

Code Block – VoiceHarbor API Example

cURL


curl -X POST https://voiceharbor.ai/api/speech-to-speech-biometric-redaction \
  -H "Authorization: Bearer YOUR_USAGE_TOKEN" \
  -F "source_audio=@./martin.wav;type=audio/wav" \
  -F "model_id=advanced" \
  -F "biometric-age=same" \
  -F "gender=opposite" \
  -F "emotion=sad" \
  -F "language=fr" \
  --output redacted_fr.wav

Anonymise now for free

Customization Control

Tailor anonymized voices to your production or editorial needs while preserving privacy.

- Voice characteristics: Adjust age, gender, and accent to suit context.
- Workflow integration: Works seamlessly with Android SDK integration or on-premise installation.
- Scalable output: From quick anonymization to high-fidelity broadcast-ready audio

Legally Guaranteed

Certified by the French Data Protection Authority (CNIL) on its effectiveness based on the following criteria derived from Opinion 05/2015 of the Article 29 Working Party - ensuring zero re-identification.
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- No Linkability: Anonymized voices cannot be matched across datasets.
- No Singling Out: Unique speech traits are removed to prevent individual identification.
- No Inference: Sensitive information cannot be deduced from anonymized audio.

Emotionally Expressive

Preserves natural prosody, tone, and emotion while anonymizing. This ensures sensitive stories retain authentic human expression and credibility.
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- Natural prosody: Voice rhythm, intonation, and emphasis remain intact.
- Richer emotional range: Express multiple emotions in anonymized content.

Quality & Scale

Process large volumes of sensitive audio quickly and efficiently without compromising quality.
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- Faster-than-real-time: Mini mode <0.5x RTF; Advanced mode ~0.75x RTF.
- High-fidelity output: 22 kHz audio suitable for broadcast and podcasts.
- Enterprise-ready: Handles interviews, user-submitted audio, and archival content at scale.

Supported by

Is Voice Harbor for me?

Answer these questions to find out

1 | Do you collect or process voice data at scale?

2 | Are you manually distorting or masking voices (pitch-shifting, filtering, or re-recording) and struggling to maintain clarity or emotion?

3 | Do legal or compliance teams ever flag concerns about GDPR or biometric data exposure in your audio workflows?

4 | Do you want to avoid storing or transferring raw voice data?

If you answered yes to any of these...

Voice Harbor is built for you.
We help you secure your audio data, stay compliant, and unlock its full potential.

Set your story free
Start using Nijta.

Anonymise your first voice recording in minutes.

Anonymize now for free