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speech-to-text

speech-to-text

HeartMuLa Transcribe

wavespeed-ai/heartmula/transcribe-lyrics

HeartMuLa Transcribe extracts lyrics from audio files using advanced AI. Supports multilingual transcription. Ready-to-use REST inference API with best performance, no coldstarts, and affordable pricing.

Input

Hint: You can drag and drop a file or click to upload

Idle

{
  "lyrics": "Eyes on the prize, no time to sleep, uh In the shadows, the secrets I keep, uh Hit hard, move fast, never retreat, uh I'm the king of the concrete street Eyes on the prize, no time to sleep In the shadows, the secrets I keep Hit hard, move fast, never retreat I'm the king of the concrete street Eyes on the prize No time to sleep In the shadows, the secret sidekick Hit hard, move fast, never retreat I’m the king of the concrete street"
}

Your request will cost $0.05 per run.

For $1 you can run this model approximately 20 times.

ExamplesView all

README

HeartMuLa Transcribe Lyrics

HeartMuLa Transcribe Lyrics is an AI-powered audio transcription model that extracts lyrics from music tracks. Upload a song and the model automatically recognizes and transcribes the vocal content into text.

Why Choose This?

  • Automatic lyrics extraction Transcribes vocals from any music track into readable text.

  • Simple one-input workflow Just upload an audio file — no additional configuration needed.

  • Fast processing Get transcribed lyrics in seconds.

  • Versatile audio support Works with various audio formats and music styles.

Parameters

ParameterRequiredDescription
audioYesMusic audio file to transcribe (URL or upload)

How to Use

  1. Upload your audio — provide the music track you want to transcribe.
  2. Run — submit and receive the transcribed lyrics.

Pricing

OutputCost
Per transcription$0.05

Best Use Cases

  • Lyrics Transcription — Extract lyrics from songs for reference or annotation.
  • Music Production — Transcribe vocal recordings for editing and review.
  • Content Creation — Get text versions of song lyrics for subtitles or captions.
  • Music Analysis — Extract lyrics for study, review, or documentation.
  • Karaoke Preparation — Generate lyrics text from audio tracks.

Pro Tips

  • Use high-quality audio files with clear vocals for best transcription accuracy.
  • Works best when vocals are prominent and not heavily mixed with instrumentals.
  • Combine with HeartMuLa Generate Music to create songs then verify lyrics.

Notes

  • Only audio is required.
  • Output is a JSON object containing the transcribed lyrics text.
  • Ensure uploaded audio URLs are publicly accessible.
  • Transcription accuracy depends on vocal clarity and audio quality.

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