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ASRKit

One interface to run and compare any speech-to-text model — local & cloud.

一套接口，跑遍端云所有语音识别。

ASRKit is the Ollama + LiteLLM for speech recognition: pull and run open-source ASR models locally with one command, call cloud ASR APIs by changing one string, all through the same interface.

Install

pip install "asrkit[local]"   # on-device (sherpa-onnx, 47 models)
pip install "asrkit[cloud]"   # cloud APIs
pip install "asrkit[all]"

Quickstart

asrkit list                                              # list all models (✓ = installed)
asrkit run local/sensevoice a.wav                        # local: auto-download if missing, then transcribe
asrkit run siliconflow/sensevoice a.wav --api-key <KEY>  # cloud: just change the string

Python:

from asrkit import transcribe
r = transcribe("local/sensevoice", "a.wav")
print(r.text)

Highlights

• 47 on-device models (SenseVoice / Paraformer / Whisper / Zipformer / Moonshine / Parakeet / FireRed / Qwen3-ASR …), pull-and-go.
• OpenAI-compatible cloud endpoint, bring your own key (more providers landing).
• Transparent by design: never touches your audio or changes the model's native behavior by default; honest errors on format mismatch; conversion (--convert) and long-audio segmentation (--segment) are opt-in.
• Privacy: your audio and keys never pass through us — ASRKit runs on your machine.

Apache-2.0. Usage: docs/usage.md; write an adapter for a new engine/model: docs/adapter-spec.md.