Speechmatics | Python SDK

The Speechmatics Python SDK streamlines the integration of professional-grade speech recognition into Python applications. Built for modern development practices, it leverages async/await patterns, comprehensive type hints, and context managers to ensure production-ready code that scales efficiently. Developers can implement both real-time streaming transcription and batch processing workflows depending on project requirements. The SDK delivers advanced transcription features including speaker diarization, speaker identification, and custom vocabulary support. These capabilities enable developers to build sophisticated voice applications that accurately identify speakers, recognize domain-specific terminology, and process audio with high precision across numerous languages. Timestamps and entity extraction provide rich contextual data for downstream processing. Beyond transcription, the SDK includes text-to-speech functionality that generates natural-sounding speech in multiple languages through both streaming and batch modes. This dual capability makes it suitable for conversational AI applications, accessibility features, and multilingual content generation. The flexible API design accommodates diverse use cases from live voice interactions to pre-recorded content production, making it a comprehensive solution for audio processing workflows.