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Use AudioPod AI's API for audio processing tasks including AI music generation (text-to-music, text-to-rap, instrumentals, samples, vocals), stem separation, text-to-speech, noise reduction, speech-to-text transcription, speaker separation, and media extraction.
Passed 18 of 21 test cases with the skill, and 0 of 21 without it.
19 fixed0 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
The instructions your model reads when the skill loads.
Full audio processing API: music generation, stem separation, TTS, noise reduction, transcription, speaker separation, wallet management.
pip install audiopod # Python
npm install audiopod # Node.js
Auth: set AUDIOPOD_API_KEY env var or pass to client constructor.
ap_)from audiopod import AudioPod
client = AudioPod() # uses AUDIOPOD_API_KEY env var
# or: client = AudioPod(api_key="ap_...")
Generate songs, rap, instrumentals, samples, and vocals from text prompts.
Tasks: text2music (song with vocals), text2rap (rap), prompt2instrumental (instrumental), lyric2vocals (vocals only), text2samples (loops/samples), audio2audio (style transfer), songbloom
# Generate a full song with lyrics
result = client.music.song(
prompt="Upbeat pop, synth, drums, 120 bpm, female vocals, radio-ready",
lyrics="Verse 1:\nWalking down the street on a sunny day\n\nChorus:\nWe're on fire tonight!",
test cases passed, vs 0 / 21 without
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