calls whisper_streaming “Choose when you need real-time streaming transcription of long audio instead of browser batch inference.”
ML-powered speech recognition directly in your browser
whisper_streaming is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named whisper_streaming among their alternatives. The relationship is not symmetric — how whisper_streaming rates them is a separate judgement, made when whisper_streaming is analysed in its own right.
calls whisper_streaming “Choose when you need real-time streaming transcription of long audio instead of browser batch inference.”
ML-powered speech recognition directly in your browser
calls whisper_streaming “Choose for realtime streaming transcription/translation of long audio as a library/script.”
Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.
calls whisper_streaming “when you want a minimal streaming Whisper library to build your own pipeline; no diarization/API”
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
calls whisper_streaming “Choose only when you need a simpler, Whisper-only streaming implementation; it lacks the multi-engine support and wake word of RealtimeSTT.”
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.