FunASR vs Moonshine

FunASR is free, with no paid plan attached. Moonshine is free, with no paid plan attached. Both are listed under Speech & Transcription Engines, so this is a like-for-like comparison. Neither is ranked above the other — Flocci carries no sponsored placement.

FunASR vs Moonshine — straight answers

FunASR vs Moonshine: what is the difference?

FunASR is free, with no paid plan attached and is listed for open-source speech recognition toolkit with Paraformer and SenseVoice models. Moonshine is free, with no paid plan attached and is listed for small streaming speech-recognition models for phones, browsers and low-power devices. Both sit in Speech & Transcription Engines.

Is FunASR or Moonshine cheaper to start with?

Neither — FunASR and Moonshine are both free, so the choice comes down to capability rather than cost. Both entries list what they uniquely do above.

Which should I choose, FunASR or Moonshine?

Choose FunASR if you need open-source speech recognition toolkit with Paraformer and SenseVoice models; choose Moonshine if you need small streaming speech-recognition models for phones, browsers and low-power devices. Flocci AI Tools does not rank one above the other — it shows both feature sets side by side and lets the requirement decide.

FunASR compared with Moonshine: pricing tier, category, listed capabilities and links.
 FunASRMoonshine
Pricing tierFreeFree
Free to startYesYes
CategoryAI Models & Local ExecutionAI Models & Local Execution
TypeSpeech & Transcription EnginesSpeech & Transcription Engines
Listed capabilities
  • Open-source speech recognition toolkit with Paraformer and SenseVoice models
  • Streaming ASR, VAD, punctuation and speaker diarization
  • Strong Mandarin and multilingual accuracy
  • Runs on CPU or GPU, MIT-style license
  • Small streaming speech-recognition models for phones, browsers and low-power devices
  • Low latency for live voice interfaces
  • Free open-source weights and runtime
Tagsfunasr, paraformer, sensevoice asr, open source chinese speech recognition, alibaba speech toolkitmoonshine speech recognition, on device speech to text, low latency asr, moonshine ai, edge voice recognition
Websitegithub.comgithub.com
Full pageFunASR details →Moonshine details →
AlternativesFunASR alternatives →Moonshine alternatives →

faster-whisper

Speech & Transcription Engines
freeNew
  • Whisper reimplementation on CTranslate2, up to 4x faster with less memory
  • int8 quantization for GPU and CPU
  • MIT licensed Python library

NVIDIA Canary-Qwen 2.5B

Speech & Transcription Engines
freeNew
  • Speech-recognition plus LLM hybrid model that transcribes and can summarize or answer questions about audio
  • Topped the Hugging Face Open ASR leaderboard at release (English)
  • CC-BY-4.0 weights

NVIDIA Parakeet

Speech & Transcription Engines
free
  • Tops the Hugging Face Open ASR Leaderboard with 6.05% average WER at 0.6B params
  • CC-BY-4.0 license, free for commercial and non-commercial use
  • RTFx ~3,386 — extremely fast inference relative to accuracy

OpenAI Whisper

Speech & Transcription Engines
free
  • Open-source speech-to-text, run locally free
  • 99+ languages and translation
  • Robust to accents and noise
  • Powers countless apps

sherpa-onnx

Speech & Transcription Engines
freeNew
  • Offline speech-to-text, text-to-speech, VAD and speaker diarization without internet
  • Runs on Android, iOS, Raspberry Pi, WebAssembly and desktop with many language bindings
  • Apache-2.0

whisper.cpp

Speech & Transcription Engines
freeNew
  • C/C++ port of OpenAI Whisper running on CPU, Metal, Core ML, CUDA and Vulkan
  • Runs on phones, Raspberry Pi and browsers via WASM
  • MIT licensed