Heartmula Transcribe Lyrics
Playground
Try it on WavespeedAI!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.
Features
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?
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Automatic lyrics extraction Transcribes vocals from any music track into readable text.
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Simple one-input workflow Just upload an audio file — no additional configuration needed.
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Fast processing Get transcribed lyrics in seconds.
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Versatile audio support Works with various audio formats and music styles.
Parameters
| Parameter | Required | Description |
|---|---|---|
| audio | Yes | Music audio file to transcribe (URL or upload) |
How to Use
- Upload your audio — provide the music track you want to transcribe.
- Run — submit and receive the transcribed lyrics.
Pricing
| Output | Cost |
|---|---|
| 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.
Related Models
- HeartMuLa Generate Music — Generate complete songs from lyrics and style tags.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/heartmula/transcribe-lyrics" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| audio | string | Yes | - | - | URL to the audio file to transcribe lyrics from. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | object | Array of transcription results (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |