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PHI and Biometric reduction
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General PHI redaction in audio and transcription
Redact PHI in audio and transcription using Python SDK
Speech to Speech biometric identity redaction
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Job Parameters and examples
Choose the right PHI redaction model
Computing time benchmarks using Voice Harbor Python SDK
Token and usage monitoring
Speech to Text
Transcribe multilingual audio files
Speaker Diarization
Separate multiple speaker in mono audio files
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PHI and Biometric reduction
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PHI and Biometric reduction
Home
Welcome to the Voice Harbor API documentation.
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Cookbooks
The first step to integrating top-tier voice technologies is to set up your environment.
Redact PHI in audio and transcription
Learn how to transcribe a pre-recorded audio file using the Voice Harbor’s Python SDK, while removing PHI.
Redact Biometric identity in audio
Learn how to replace a pre-existing identity in audio file using the Voice Harbor’s Python SDK, while preserving Emotion and Phonetic information.
News and upcoming releases
Discovere latest news around Voice Harbor.
Customise your job based on your needs
Learn how to design the job parameters to fit your conversation scenario.
Voice Harbor Services
Explore the robust tools Voice Harbor offers for transforming audio data.
PHI Redaction
Automatically redact PHI identifiers from audio for privacy compliance and data utilisiation.
Biometric Redaction
Automatically redact biometric identifiers from audio for privacy compliance.
Speech-to-Text
Convert audio and video files, as well as live speech, into text with precision.
Diarization
Efficent separation for noisy medical condition.
Get Started with SDK
Start coding today using Python and integrate the Voice Harbor API into your workflows.
Python SDK
Start using our Python SDK to connect with Voice Harbor and implement voice solutions
General PHI redaction in audio and transcription
Assistant
Responses are generated using AI and may contain mistakes.