deepgram-python-speech-to-text

To transcribe audio files in Python, use the Deepgram SDK to call the transcribe_file REST endpoint for batch processing or transcribe_url for URL-based media. You need a Deepgram API key and compatible audio encoding settings like linear16.

Yes, real-time speech-to-text is supported via the Deepgram SDK using the listen.v1.connect WebSocket streaming endpoint. This enables live audio ingestion for on-the-fly transcription in your Python projects.

Deepgram transcription in Python requires compatible audio encoding settings such as linear16 and supports models like nova-3. These configurations ensure accurate speech-to-text processing for both prerecorded files and live audio streams.

Yes, the Deepgram Python SDK supports both REST and WebSocket for speech-to-text. Use transcribe_url and transcribe_file REST endpoints for prerecorded audio, or listen.v1.connect WebSocket streaming for real-time transcription.

A Deepgram API key is required for Python speech-to-text integration to authenticate your requests to the v1 Listen API. Without valid API keys, the SDK cannot access Deepgram's transcription services for REST or WebSocket endpoints.

Batch transcription processes prerecorded audio files via REST endpoints like transcribe_file, while live audio ingestion uses WebSocket streaming through listen.v1.connect for on-the-fly transcription of real-time audio input.