ACE-Step / acestep-transcriber

huggingface.co
Total runs: 3.1K
24-hour runs: -69
7-day runs: -354
30-day runs: -236
Model's Last Updated: February 03 2026
audio-text-to-text

Introduction of acestep-transcriber

Model Details of acestep-transcriber

Tech Report

ACE-Step Transcriber

Description

ACE-Step Transcriber is the annotation model used by ACE-Step v1.5 for training data labeling. It is a powerful multilingual audio transcription model capable of transcribing both speech and singing voice with high accuracy.

Key Features
  • 🌍 50+ Languages Support - Covers major world languages and regional dialects
  • 🎤 Speech Transcription - Accurately transcribes spoken content
  • 🎵 Singing Voice Transcription - Specialized in lyrics transcription with musical structure annotations
  • 🏷️ Structure Annotation - Automatically identifies song sections (verse, chorus, bridge, etc.)
Usage

The usage is the same as Qwen2.5 Omni-7B .

Prompt Format

Use the following prompt to transcribe audio:

*Task* Transcribe this audio in detail
<audio>
Output Format

The model outputs structured content in the following format:

# Languages
<language_code>

# Lyrics
[Section Tag - Optional Instrument]

<transcribed content>
...
Example Output
# Languages
en

# Lyrics
[Intro - Acoustic Guitar]

[Verse 1]
Walking down the empty street tonight
Stars are shining oh so bright
...

[Chorus]
This is where we belong
Singing our favorite song
...
Supported Section Tags
  • [Intro] , [Outro]
  • [Verse 1] , [Verse 2] , etc.
  • [Chorus] , [Pre-Chorus] , [Post-Chorus]
  • [Bridge]
  • [Guitar Interlude] , [Instrumental]
  • [Spoken]
Supported Languages (50+)

The model supports transcription in over 50 languages, including but not limited to:

Region Languages
East Asia Chinese (zh), Japanese (ja), Korean (ko)
Southeast Asia Vietnamese (vi), Thai (th), Indonesian (id), Malay (ms), Filipino (tl)
South Asia Hindi (hi), Bengali (bn), Tamil (ta), Urdu (ur)
Europe English (en), German (de), French (fr), Spanish (es), Italian (it), Portuguese (pt), Russian (ru), Polish (pl), Dutch (nl), Greek (el), Turkish (tr)
Middle East Arabic (ar), Hebrew (he), Persian (fa)
Others And many more regional languages...
Use Cases
  • Music Production - Transcribe reference tracks for lyrics extraction
  • Dataset Creation - Generate high-quality labeled data for music AI models
  • Accessibility - Create subtitles and captions for audio content
  • Music Analysis - Extract structural information from songs

Runs of ACE-Step acestep-transcriber on huggingface.co

3.1K
Total runs
-69
24-hour runs
-113
3-day runs
-354
7-day runs
-236
30-day runs

More Information About acestep-transcriber huggingface.co Model

More acestep-transcriber license Visit here:

https://choosealicense.com/licenses/mit

acestep-transcriber huggingface.co

acestep-transcriber huggingface.co is an AI model on huggingface.co that provides acestep-transcriber's model effect (), which can be used instantly with this ACE-Step acestep-transcriber model. huggingface.co supports a free trial of the acestep-transcriber model, and also provides paid use of the acestep-transcriber. Support call acestep-transcriber model through api, including Node.js, Python, http.

acestep-transcriber huggingface.co Url

https://huggingface.co/ACE-Step/acestep-transcriber

ACE-Step acestep-transcriber online free

acestep-transcriber huggingface.co is an online trial and call api platform, which integrates acestep-transcriber's modeling effects, including api services, and provides a free online trial of acestep-transcriber, you can try acestep-transcriber online for free by clicking the link below.

ACE-Step acestep-transcriber online free url in huggingface.co:

https://huggingface.co/ACE-Step/acestep-transcriber

acestep-transcriber install

acestep-transcriber is an open source model from GitHub that offers a free installation service, and any user can find acestep-transcriber on GitHub to install. At the same time, huggingface.co provides the effect of acestep-transcriber install, users can directly use acestep-transcriber installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

acestep-transcriber install url in huggingface.co:

https://huggingface.co/ACE-Step/acestep-transcriber

Url of acestep-transcriber

acestep-transcriber huggingface.co Url

Provider of acestep-transcriber huggingface.co

ACE-Step
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Updated:February 03 2026