We have released our biometric redaction service, read more about all redaction parameters here Job Parameters. Just ask, and we’ll gladly provide more information on why biometric redaction is the recommended approach to comply 100% with HIPAA and GDPR.

​
Redact Biometric voice print in audio, followed by transcription using Python SDK

Set Up the Client and Create a Job Once you have the necessary setup, you can create a job on the server and interact with the API. Here’s how to do it:

BASE_URL = "https://voiceharbor.ai"
usage_token = "your_usage_token_here"

# Create a new job on the server via the class method.
# Create a new job immediately.
job_id = VoiceHarborClient.create_job(BASE_URL, usage_token)
print(f"Job created with ID: {job_id}")

Next, initialize the client and define the parameters for your job, including the files you want to submit for transcription.

# Initialize the client with the new job_id and input directory.
client = VoiceHarborClient(
    base_url=BASE_URL,
    job_id=job_id,
    token=usage_token,  # Ensure correct token is used here
    inputs_dir="./inputs"
)

# Build job parameters (e.g., list of agents and any other details).
  job_params = {"files": [],
                "task":"biometric",
                "biometric": "en",
                "biometric_gender":"opposite",
                "biometric_age": "middle-aged-adult"}

# Upload input files.
job_params = client.submit_files(job_params)

Now, submit the job and wait for the transcription results. Here’s how to complete the process:

# Immediately submit the job file (YAML)
job_file = client.submit_job(job_params)
print(f"Job file submitted: {job_file}")



# Wait for and download the processed results.
downloaded_results = client.download_results(output_dir="./results")
print("Downloaded results:", downloaded_results)

​
Changelog

We are excited to share the release of our revolutionary voice anonymization system for the 2025-05-01, a breakthrough in privacy-preserving speech technology that sets a new standard in both privacy and performance.

​
Mai 2025 Release
Voice Harbor V3.0

​
Changelog

​
VPC2024 Evaluation Scores

ModelEERUARWER
B110422.9
B2135510
B536384.4
B625369.1
SHIVA Orange41417.8
South Korea44285.0
FreeVC35444.5
NTU-NPU42404.5
Voice Harbor V3.044403.8

Building on the solid foundation of our previous versions, Voice Harbor V3.0 sets a new benchmark in the industry by combining enhanced speech quality, comprehensive multilingual support, and state-of-the-art privacy and utility performance. This release represents a significant leap forward in ensuring secure, high-fidelity speech data transformation for a broad range of applications—from voice bot assistance to academic research.

​
Features

  • Biometric Identity Redaction: Remove unique vocal traits to protect your identity.
  • Emotion Preservation: Retain the natural emotional tone of your speech.
  • High-quality Voices: Generate clear, natural-sounding audio.
  • Generative Content Anonymization: Edit words and phrases for a tailored message.
​
2024-04-01
Voice Harbor V2.0

​
Changelog

Voice Harbor V2.0 introduces a cutting-edge approach to secure speech data transformation, prioritizing privacy and compliance. This version features advanced biometric identity redaction, ensuring sensitive audio content is anonymized while maintaining clarity and usability. Fully approved by CNIL, V2.0 upholds the highest standards for data protection, making it an ideal solution for a wide range of applications requiring secure voice processing.

​
Features

  • Biometric Identity Redaction: Remove unique vocal traits to protect your identity.
  • Regulatory Compliance: Ensure privacy standards with CNIL-guaranteed protection.