Use Voice Data.
Not the identity inside it.
Anonymize voice at capture — so it can be used, shared, and scaled without exposing biometric identity.
Your Voice Data
An insight goldmine or a vulnerable liability?
Voice AI Companies: Use and train on voice data without inheriting biometric risk.Keep pipelines performant while removing identity at source.
Enterprises: Use voice across operations without compliance bottlenecks.Make data usable across teams, systems, and geographies.
Let’s get real !
Most systems process voice after it’s captured and stored.
Which means:
The sensitive layer — speaker identity — is already exposed.
From that point on, every step adds risk:
→ Storage→ Transfer→ Processing→ Sharing
And compliance becomes reactive instead of built-in.
Even one "compromised" recording is risky.
Voice is inherently identifiable.
A single recording can:
→ Link back to an individual
→ Be matched across datasets
→ Persist as biometric data over time.
This isn’t a scale problem. It’s a design problem in how voice pipelines are built.
Voice is anonymized directly on-device — before it is stored, processed, or transmitted.
→ No raw biometric data leaves the device
→ No changes required to downstream systems
→ No reliance on cloud-based processingPrivacy is enforced at the point of capture — not after.
Legal & identity exposure risk shuts down sensitive stories
GDPR, CNIL, and AI compliance laws make voice data too risky to store, share, or publish.
Editorial and legal teams often kill segments due to identity or exposure risks — even when the story is vital.
Old methods distort the message.
Pitch-shifting and beeping sound unnatural, damage your story, and are easily reversible.
This severely degrades the quality of your audio and video, and interrupts the smooth audience experience.
Manual redaction wastes hours and still fails legal tests.
One leak = destroyed reputation.
Re-identifying a source via voice can end careers, spark lawsuits, or destroy brand credibility.
Journalists, editors, and creators need a better, faster, safer way.
Identity anonymization & protection
Remove biometric voice identity irreversibly
Replace with high-quality pseudovoice
Preserve tone, pacing, emotion — delete traceability
Protect your team, your subject, and your story
Unlock voice content without risk
Archive interviews and testimonies long-term
Anonymize once, reuse across formats
Enable collaboration & increase the “yes-rate” from sources without identity exposure
Make your voice content searchable, editable, and publishable — without fear
Assured broadcast-grade compliance
GDPR & legally-vaidated compliance built-in
Aligns with publisher, newsroom, and legal standards
Role-based access, logging, and speaker control
Make legal teams happy. Let your editorial team move faster
Why choose Nijta for media?
Seamless integration
API, web app, or plugin — fits directly into your production tools (Premiere, Audition, Protools etc.)
Legal-grade AI
Built with and validated by privacy lawyers, regulatory experts, and editors.
Custom anonymization
Choose tone, gender, accent — protect your source without losing authenticity.
Multilingual support
English, French, and regional accent variants for global journalism.
Seamless
SDK integration
Legal guarantees & proven expertise
Customisable
anonymisation
Multilingual
Publish without fear. Produce without compromise.
Speechless?
Your source won’t be.
Anonymise your first voice recording in minutes.