Short answer: You can deepgram aura tts in Deepgram by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Deepgram Deepgram Aura TTS action to a workflow, map its 3 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.
Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.
| Field | Type | Required | Description |
|---|---|---|---|
Text text | string | Required | Text (required) |
Voice / Model model | options | Optional | Voice / Model. Options: Asteria (US-en, female), Luna (US-en, female), Stella (US-en, female) … |
Encoding encoding | options | Optional | Encoding. Options: MP3, Linear16 (WAV), Opus |
{"text": "{{trigger.text}}","model": "{{trigger.model}}","encoding": "{{trigger.encoding}}"}
{"audio": "<binary>"}
Use these fields in downstream nodes for routing, logging, or error handling.
Any of these apps can fire this action as part of a workflow.