Audio CLI - PraisonAI

Discover audio endpoints and drive transcription and speech through MCP tools or the Python API.

Discover Audio Endpoints

List every registered audio endpoint with the audio tag filter.

praisonai endpoints list --tags audio

MCP Tools

The audio capability is surfaced as two MCP tools.

praisonai.audio.transcribe(file_path, model="whisper-1", language=None) -> str
praisonai.audio.speech(text, model="tts-1", voice="alloy") -> str

praisonai.audio.transcribe returns the transcript text. praisonai.audio.speech converts text to audio.

No Dedicated CLI Verb

There is no top-level praisonai audio or praisonai transcribe subcommand. Use the Python API or the MCP tools above.

from praisonai.capabilities import transcribe, speech

transcript = transcribe("./meeting.mp3")
print(transcript.text)

audio = speech("Hello, world!", voice="nova")
audio.save("hello.mp3")

Environment Variables

Set the API key for whichever provider your model targets.

Variable	Provider
`OPENAI_API_KEY`	OpenAI Whisper / TTS
`DEEPGRAM_API_KEY`	Deepgram
`ELEVENLABS_API_KEY`	ElevenLabs

export OPENAI_API_KEY=...
praisonai endpoints list --tags audio

Audio (Python)

Full Python usage for transcribe and speech

Endpoints CLI

Explore all registered endpoints

Audio

Realtime

​Discover Audio Endpoints

​MCP Tools

​No Dedicated CLI Verb

​Environment Variables

​Related