Built a Deepgram Flux voice testing studio in 30 minutes with Claude Code
CodeByPoonam · x · 2026-08-17
The author shares a hands-on guide to building a testing studio for Deepgram's new Flux TTS API using Claude Code.
Process:
- Instructed Claude Code to set up the testing environment, which automatically configured text input, voice picker, LLM stream simulation toggle, and a latency/duration metrics panel.
- Results: Text input was converted to speech naturally and quickly; with streaming enabled, audio output began before text generation finished.
Context: Deepgram's Flux TTS supports real-time conversation, starting speech as tokens arrive rather than waiting for full LLM completion, with sub-200ms latency. The linked GitHub repo provides Deepgram Skills for easier integration with AI coding tools.
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