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License and capability clarification (2026-07-14): FunASR is a toolkit, not a single checkpoint. The FunASR and SenseVoice repository source code is MIT; model weights follow each model card. SenseVoiceSmall supports Chinese, Cantonese, English, Japanese, and Korean, and its weights use the linked FunASR Model Open Source License Agreement. Fun-ASR-Nano-2512 is Apache-2.0. Language coverage, punctuation, and performance depend on the selected model and runtime configuration.
Feature Request
kotaemon is excellent for document-based RAG QA. Adding audio/video document support via FunASR would extend the knowledge base to include audio content.
Use case: Upload meeting recordings, podcasts, lectures → FunASR transcribes → index and search like any document.
Why FunASR?
SenseVoice: 50+ languages, 5-10x faster than Whisper
Speaker diarization: Identifies speakers — improves retrieval for meetings
Timestamps: Enables citation back to audio position
Self-hosted: Aligns with kotaemon's local-first design
OpenAI-compatible API: Easy integration
Quick start:
funasr-server --device cuda
# /v1/audio/transcriptions
Note
License and capability clarification (2026-07-14): FunASR is a toolkit, not a single checkpoint. The FunASR and SenseVoice repository source code is MIT; model weights follow each model card. SenseVoiceSmall supports Chinese, Cantonese, English, Japanese, and Korean, and its weights use the linked FunASR Model Open Source License Agreement. Fun-ASR-Nano-2512 is Apache-2.0. Language coverage, punctuation, and performance depend on the selected model and runtime configuration.
Feature Request
kotaemon is excellent for document-based RAG QA. Adding audio/video document support via FunASR would extend the knowledge base to include audio content.
Use case: Upload meeting recordings, podcasts, lectures → FunASR transcribes → index and search like any document.
Why FunASR?
Quick start:
funasr-server --device cuda # /v1/audio/transcriptions