AI-generated summary
Genesys Cloud voice transcripts convert spoken words from voice interactions into searchable text, enabling organizations to analyze conversations between customers and internal participants including agents, IVR, ACD, conference, and voicemail systems. Transcription availability depends on licensing, deployment type, and language configuration, with near real-time transcription available for Genesys Cloud Voice and BYOC Cloud telephony connections, with transcripts accessible in the user interface and API within minutes of call completion.
The transcription system includes comprehensive analytical features designed for contact center operations. Searchable content with local search functionality, speaker-specific timing information, automatic sentiment analysis, and visual indicators for conversation insights enable detailed interaction review. The AI Insights panel generates interaction summaries with sentiment analysis, while the Events panel displays categorized lists of topics, positive sentiment, and negative sentiment with corresponding phrases and sentiment scores. Timestamps enable precise location of spoken phrases within transcripts, and speaker identification categorizes participants by role. The transcription language model is specifically trained on contact center conversations rather than general speech, optimizing it for call center use cases.
Security and privacy protections are integrated throughout the transcription system. Genesys Cloud automatically redacts sensitive data and encrypts transcripts using the same encryption as recorded interactions to prevent unauthorized access. Per PCI DSS guidelines, Genesys recommends using Secure Pause or Secure Flows to prevent payment card data transcription. Recording segment access controls limit transcript visibility to accessible segments only, and access to unredacted transcripts is restricted to users with ViewSensitiveData permissions. Mid-call failures prevent transcript generation for affected interactions, and voice transcription differs from social media interaction transcripts as a speech-to-text solution requiring configuration.