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Whisper Live - A nearly-live implementation of Open AI's Whisper, free & open-source

Reddit r/artificial · 2026-07-25 Cached

WhisperLive is an open-source real-time transcription tool using OpenAI's Whisper, supporting multiple backends like faster-whisper and TensorRT for live speech-to-text.

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#real-time-transcription

@NFTCPS: Here’s a macOS terminal tool that cures not understanding English in meetings: Microphone or meeting audio in, real-time captions plus Chinese translation out, no network needed, privacy lovers rejoice. Runs locally on Apple Silicon GPU, English transcription fed directly to Hunyuan MT for Chinese translation. Can also distinguish who’s speaking…

X AI KOLs Timeline · 2026-06-17 Cached

Introduces livecaption, a command-line tool for real-time English transcription and Chinese translation on macOS. It runs locally using Apple Silicon GPU, supports speaker diarization and two-pass correction, no internet required, preserving privacy.

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#real-time-transcription

@FinanceYF5: Mythos / Fable is absolutely insane! During a customer call, Claude transcribes in real-time in the background. The customer says they want a certain feature in the software—Claude builds it simultaneously in the background. By the end of the call, he directly demonstrates a working product that includes the complete workflow the customer mentioned just 15 minutes ago. The customer call triggers an autonomous build loop.

X AI KOLs Following · 2026-06-12 Cached

Mythos/Fable showcases an incredible AI integration: during a customer call, Claude transcribes in real-time and simultaneously builds software features. By the end of the call, it demonstrates a working product with the complete workflow the customer requested, enabling an autonomous build loop.

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#real-time-transcription

BasedHardware/omi

GitHub Trending (daily) · 2026-04-20 Cached

Omi is an open-source AI second brain platform that captures screen and conversations, provides real-time transcription, summaries, and context-aware chat across desktop, mobile, and wearable devices. It has 300,000+ users and is fully open source with multi-platform support.

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