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The best FunASR alternatives

5 tools that do a similar job to FunASR, 5 of them open source. Each entry says what it does and who it suits, so you can pick the one that fits instead of the most famous.

You're replacing

FunASR

Open-source speech-to-text toolkit with streaming, voice detection, punctuation and speaker pipelines.

  1. 1

    Whisper

    Open source · MIT · ★ 112k

    Open-source speech-to-text model that transcribes and translates audio in many languages.

    Best for: Developers who want to add transcription of audio files to a Python project; People who need to transcribe recordings such as interviews or lectures locally

  2. 2

    faster-whisper

    Open source · MIT · ★ 26.4k

    Faster Whisper speech-to-text transcription using CTranslate2, a Python reimplementation of OpenAI's Whisper.

    Best for: Python developers who need to add speech-to-text to an application; People transcribing large batches of audio who want lower time or memory use

  3. 3

    pyannote

    Open source · MIT · ★ 10.8k

    Python toolkit for figuring out who spoke when in an audio recording, using pretrained PyTorch models.

    Best for: Developers who want to add speaker separation to a Python audio workflow; Researchers comparing or fine-tuning speaker diarization models

  4. 4

    whisper.cpp

    Open source · MIT · ★ 54.9k

    Fast C/C++ port of OpenAI's Whisper speech-to-text model, runs locally on CPU or GPU.

    Best for: Developers who want to embed offline speech-to-text in a C, C++, or other native app; People on Apple Silicon who want GPU or Neural Engine accelerated transcription

  5. 5

    Silero VAD

    Open source · MIT · ★ 10.6k

    Pre-trained voice activity detector that finds where speech occurs in audio, for Python, ONNX, and other runti

    Best for: Developers adding speech detection to Python apps; Teams building telephony, call-center, or voice bot pipelines

How we pick: tools in the same category that solve the same problem, projects that name each other as alternatives, and open-source projects that describe themselves as an alternative to FunASR. We don't take payment for placement.