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whisper-flow

Whisper-Flow is a framework designed to enable real-time transcription of audio content using OpenAI’s Whisper model. Rather than processing entire files after upload (“batch mode”), Whisper-Flow accepts a continuous stream of audio chunks and produces incremental transcripts immediately.

Category
Speech-to-text
Type
Open source
Platform
Python project
Pricing
Free / open source
License
MIT
GitHub stars
826
Last updated
2026-08-09

GitHub repo →  ·  Website →

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Top whisper-flow alternatives

transformers🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, fwhisper.cppPort of OpenAI's Whisper model in C/C++voiceboxThe open-source AI voice studio. Clone, dictate, create.HandyA free, open source, and extensible speech-to-text application that works completely offline.meetilyPrivacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built llamafileDistribute and run LLMs with a single file.

See the full list of whisper-flow alternatives →