Choose the right plan to fit your organization's needs.

Our flexible pricing options cater to different business sizes and requirements,
ensuring you have access to the right level of voice anonymization technology at a cost-effective price.

Starter
Foundation
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0/month

Data volume: 100h

Full integration support

Single Language

Non commercial use

<50 Agents
Basic
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0/month

Data volume: 1 000h

Shared access to the API

Pre-built AI models

8h engineering support

Single Language

50 - 500 Agents
Premium
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0/month

Data volume: 10 000h

Priority access to the API

Pre-built AI models

16h engineering support

Multiple Languages

Voice + Content

>500 Agents
Entreprise
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0/month

Data volume: Unlimited

Fine-tuned AI models

Multiple Languages

Voice + Content

Pilot Package

€15,000 for up to 8,000 minutes (≈133 hours) of audio.


Includes:
Security & DPA onboarding, pipeline configuration, 1 calibration cycle, documentation of processing & deletion workflow, and gold-standard QC on a 1% sample.

Unit Rates

0 - 10k
€0.27/min
10k - 100k
€0.20/min
100k - 500k
€0.14/min
>500k
€0.10/min
Get Access

Get Access in 5 Simple Steps

1

Choose Your Mode

Decide whether you want to integrate via the API or use the Plugin for your workflow.

2

Sign Up & Activate Tokens

Sign up on the Nijta Admin Dashboard at voiceharbor.ai, then purchase or redeem trial anonymization tokens to get started.

3

Install & Connect

For Plugin: Download the plugin directly from your dashboard (currently available for Avid) and log in.
For API: Refer to the API documentation to connect your environment.

4

Anonymize

Upload files or process live sessions. Select speakers and customize voice attributes — age, gender, tone, expressiveness — then start anonymization.

5

Review & Publish

Preview your output and export broadcast-ready audio.

Frequently asked questions

Functionality

What is biometric anonymisation ?

Biometric anonymisation is the process of removing or altering the unique voice characteristics that can identify a person — such as vocal timbre, pitch patterns, rhythm, and other biometric markers. Instead of masking or distorting the audio, the voice is transformed into a new, natural-sounding voice that cannot be linked back to the original speaker.

This ensures that the content of the speech remains fully usable while the identity, privacy, and safety of the speaker are completely protected, meeting strict standards like non-linkability, non-singling-out, and non-inference.

How many languages do you support ?

Our solution currently supports English, French, German, Spanish and Italian. If you cannot find your preferred language in the list, please reach out to us - we can add a new language in just one day!

What file formats do you support ?

We support all the popular audio formats. Please refer to our documentation for a list of supported formats.

Does it work in real-time, for example, streaming audio ?

For now, our solutions do not work in real-time. We plan to release the real-time version of our solution by Q3 2025.

Does the anonymisation work for children's voices ?

No, our solution does not accurately work for children's voices. This is an active area of research at Nijta and we are partnering up with renowned EdTech providers to build a robust solution for children’s voices.

Could the age and gender of the speaker be preserved after anonymisation ?

The gender of the output voices can be controlled, but not the age. We are working actively to provide the age preservation feature.

Could the original emotion of the speaker be preserved after anonymisation ?

We have observed that the original emotion is degraded after anonymisation, but it could be retrieved by fine-tuning the emotion detection model using anonymised voices. We are working on an anonymization technique that will preserve the original emotion with high-fidelity.

Could the non-verbal cues such as the speaking pace, pronunciation, intonation, etc. of the original speaker be preserved after anonymisation ?

Yes, such non-verbal cues are largely preserved under certain conditions. We sometimes notice small degradation in the pronunciation.

Do the speech biomarkers related to the health attributes of the original speaker be preserved after anonymisation ?

We cannot say that with certainty. We are currently working on R&D projects to preserve the speech biomarkers.

Can the anonymisation filter profane language ?

This is an active area of research. We are working with a large group to filter profane language in live calls.

Performance

What is the accuracy of your solution ?

We have observed significant improvements in privacy benchmarks after anonymisation. The probability of singling out and linkability which refer to the legal guarantees of anonymisation are improved x% and y% relative to unprotected audio. The error rate of PII redaction is less than 1%.

What is the processing time of your solution ?

  1. We have evaluated the speed, reliability, scalability, and efficiency of our system on this config: 15 cores, 45 GB RAM, 1 x Tesla V100S.
  2. We were able to anonymize 1 hour in 4 min with 1 worker processing batches of 30 files (voice only).

What is the maximum size of audio files that could be sent to the API ?

Audio files should not exceed 500 MB in size. The API will not accept files larger than this limit.

How many concurrent requests could be processed by the API without degrading the processing time ?

The system supports concurrent requests, allowing a maximum of 10 simultaneous requests per user.

Can the customer fine-tune the models hosted on their site ?

No, we do not offer fine-tuning service of our models on customer’s site.

Installation

Does it work as a SaaS or on-premise ?

We provide both SaaS and on-premise solutions.

What are the computational requirements for hosting the on-premise solution ?

  1. Operating system : Linux (Ubuntu 20.04 or later)
  2. Processor : Intel Xeon Gold 6226R or later
  3. RAM : 32 GB minimum
  4. Disk space : 100 GB minimum
  5. GPU : Nvidia Tesla V100S - 32 GB minimum

What are the concrete measures followed to ensure the security of the SaaS solution ?

We follow SOC2 compliance measures to ensure the security of our hosted SaaS solution. Please refer to our documentation for more information.

More than 1 million recordings cleaned to date.
We are aiming at billions.

Book a discovery call
Book a discovery call
Anonymize now for free
Anonymize now for free