Buraq Minds
AI & Machine Learning

Voice and Content Anonymization

Privacy pipeline for detecting and redacting sensitive information from voice transcripts and content before downstream AI use.

Voice and Content Anonymization case study illustration

The Challenge

Sensitive audio and text could not safely enter analytics or AI workflows without reliable anonymization.

Our Solution

We built detection and redaction pipelines for speech-to-text output and document content, with configurable review and retention controls.

KEY CAPABILITIES

What the system includes

Speech-to-text with PII detection hooks

Automated redaction for voice and text content

Configurable entity and policy rules

Review workflows before downstream processing

Safer datasets for analytics and model use

TECH STACK

Technologies Used

PythonNLPWhisperFastAPIAzure

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