PII Redaction Developer Guide: Speech API Setup 2026
Blog post from Deepgram
This guide offers a comprehensive overview of configuring speech-to-text API redaction to comply with PCI DSS, HIPAA, and GDPR, focusing on both streaming and batch processing methods to achieve over 90% accuracy. It discusses the types of personally identifiable information (PII) that speech APIs can detect, including financial data, personal identifiers, and healthcare information, and highlights the importance of selecting the appropriate approach based on latency and compliance requirements. The guide emphasizes the advantages of real-time streaming redaction for latency-sensitive applications and the benefits of batch processing for call recordings requiring full context analysis, while also addressing the challenges and edge cases in production environments, such as cross-chunk detection failures and dual-channel recording gaps. It underscores the need for validation to meet compliance standards, including precision and recall metrics, audit trails, and manual review processes, especially for HIPAA compliance. Additionally, it covers the technical aspects of implementing a complete PII redaction solution, including pre-transcription setup, real-time processing pipelines, post-call verification, and secure storage practices, ensuring that sensitive data is effectively redacted before reaching storage and analytics platforms.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 27 | 6,296 | 1,346 | 246 | -2% |
| AI Agents | 4 | 4,430 | 1,100 | 236 | -3% |
| Voice AI | 4 | 2,379 | 221 | 38 | -3% |
| Vector Search | 1 | 1,739 | 413 | 146 | -27% |