1
Also covers open source and speech recognition · same kind of open-source project
WhisperS2T is an optimized speech-to-text pipeline for the Whisper model with support for multiple inference engines.
Alternatives
The Best FunASR Alternatives in 2026
12 alternatives2 free · 7 open source
Looking for something like FunASR? Here are 12 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 2 are free or have a free plan and 7 are open source.
FunASR supports speech recognition training and inference, streaming, punctuation, diarization, and model serving.
Top picks at a glance
First suggestionshashikg/WhisperS2TWhisperS2T is an optimized speech-to-text pipeline for the…Free or freemium optionSubtitle EditAn open-source subtitle editor with timing, text editing…Another optionFaster WhisperFaster Whisper runs Whisper transcription through the…
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | shashikg/WhisperS2T | — | Yes | — |
| 2 | Faster Whisper | — | Yes | — |
| 3 | ggerganov/whisper.cpp | — | Yes | — |
| 4 | OpenQuack | — | Yes | macOS |
| 5 | CMU Sphinx | — | Not stated | Android, iOS, Linux |
| 6 | Automatic Speech Recognition | — | Not stated | Web |
| 7 | AI Dictation | Free trial | Not stated | Android, iOS, Web |
| 8 | Vocova | — | Not stated | Web |
| 9 | Automatic Speech Recognition | — | Not stated | Web |
| 10 | KubeAI | — | Yes | — |
All FunASR alternatives
2
Also covers open source and speech recognition · same kind of open-source project
Faster Whisper runs Whisper transcription through the CTranslate2 inference engine.
3
Also covers open source and speech recognition · same kind of open-source project
The whisper.cpp repository provides a C and C++ port of OpenAI’s Whisper model.
4
Also covers open source and speech recognition · same kind of open-source project
OpenQuack provides local voice dictation on macOS, inserting Whisper transcripts at the cursor.
5
CMU Sphinx
cmusphinx.github.ioAlso covers speech recognition
CMUSphinx is an open source speech recognition system for mobile and server applications.
6
Automatic Speech Recognition
huggingface.co/spaces/hynt/k2-automatic-speech…Also covers speech recognition
This speech recognition app transcribes audio uploaded as a file, recorded by microphone, or provided through a URL.
7
Also covers speech recognition
AI Dictation turns mixed Russian, Ukrainian, or Belarusian speech into text while preserving English work terms.
8
Vocova
vocova.appAlso covers speech recognition
Vocova transcribes audio and video into text in more than 100 languages and accepts imports from named services.
9
Automatic Speech Recognition
huggingface.co/spaces/k2-fsa/automatic-speech-…Also covers speech recognition
This app transcribes audio files, microphone recordings, or audio URLs into written text.
10
Also covers open source · same kind of open-source project
KubeAI serves machine learning models on Kubernetes, including speech to text, language, vision, and embedding models.
11
Free
An open-source subtitle editor with timing, text editing and speech recognition through supported local and online engines.
12
Free
An open-source Linux and Sailfish OS application for offline speech recognition, text-to-speech and translation.
No alternatives match this filter.
Alternatives to similar tools
ggerganov/whisper.cpp24 alternativesFaster Whisper12 alternativesCMU Sphinx12 alternativesSubtitle Edit7 alternativesshashikg/WhisperS2T24 alternativesAI Dictation24 alternatives
What is the best alternative to FunASR?
Based on features, tags and platforms, the closest alternatives to FunASR are shashikg/WhisperS2T, Faster Whisper, and ggerganov/whisper.cpp.
Is there a free alternative to FunASR?
Yes. Subtitle Edit and Speech Note are free or offer a free plan.
Are there open-source alternatives to FunASR?
Yes: shashikg/WhisperS2T, Faster Whisper, ggerganov/whisper.cpp, and OpenQuack.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative