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🎙️Transcribe meetings, interviews, and more - with built-in speaker diarization and segmentation.

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Mistral AI for Developers

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11,986 görüntüleme • 5 ay önce •via X (Twitter)

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Muse Voice Transcribe is MSL's first real-time audio perception model -- rolling out today. SOTA in streaming speech-to-text, it handles speaker diarization, and endpointing natively in a single model.
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Muse Voice Transcribe is MSL's first real-time audio perception model -- rolling out today. SOTA in streaming speech-to-text, it handles speaker diarization, and endpointing natively in a single model.

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Start experimenting with Voxtral Mini Transcribe 2 in the new audio playground on Mistral Studio. Upload files, toggle diarization, add context bias, and get instant transcriptions.
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Start experimenting with Voxtral Mini Transcribe 2 in the new audio playground on Mistral Studio. Upload files, toggle diarization, add context bias, and get instant transcriptions.

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🎙️Designing a speech-to-speech assistant Build a speech-to-speech assistant with web search access in 150 lines of code. - Voxtral Transcribe 2 for STT + diarization - Mistral Small 4 for agentic reasoning & efficiency - Voxtral TTS for realistic speech synthesis
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🎙️Designing a speech-to-speech assistant Build a speech-to-speech assistant with web search access in 150 lines of code. - Voxtral Transcribe 2 for STT + diarization - Mistral Small 4 for agentic reasoning & efficiency - Voxtral TTS for realistic speech synthesis

Mistral AI for Developers

18,266 görüntüleme • 5 ay önce

🤗 MOSS-Transcribe-Diarize-0.9B is now open source on Hugging Face. Built with an end-to-end audio-to-structured-transcript paradigm: >0.9B open-source ASR model >Apache license 2.0 >128k long-context transcription >Up to ~90-min audio input >Speaker labels + timestamps in one generation >Multi-speaker diarization for meetings, interruptions, and overlapping voices >Hotword biasing for names, terms, and domain-specific vocabulary >~100 token/s on NVIDIA RTX 4090, RTF ~0.017 Thank you SGLang vLLM Prince Canuma Lucas Newman for day-0 support! 🚀 Github: Huggingface: API: Live demo: Technical Report： HF Space: AtomGit： SGLang-Omni: vLLM: MLX-audio: Discord:
1:17

🤗 MOSS-Transcribe-Diarize-0.9B is now open source on Hugging Face. Built with an end-to-end audio-to-structured-transcript paradigm: >0.9B open-source ASR model >Apache license 2.0 >128k long-context transcription >Up to ~90-min audio input >Speaker labels + timestamps in one generation >Multi-speaker diarization for meetings, interruptions, and overlapping voices >Hotword biasing for names, terms, and domain-specific vocabulary >~100 token/s on NVIDIA RTX 4090, RTF ~0.017 Thank you SGLang vLLM Prince Canuma Lucas Newman for day-0 support! 🚀 Github: Huggingface: API: Live demo: Technical Report： HF Space: AtomGit： SGLang-Omni: vLLM: MLX-audio: Discord:

MOSI

156,308 görüntüleme • 2 ay önce

🎉 Congrats to MOSI + OpenMOSS on the release of MOSS-Transcribe-Diarize-0.9B — a genuinely impressive end-to-end ASR model for real-world, multi-speaker conversations. We're proud to partner with them for day-0 support on mlx-audio (Python & Swift). Now running local-first on Apple Silicon: 🎙️ transcript + speaker labels + timestamps in one pass 🗣️ unlimited-speaker diarization ⏱️ up to ~90 min of audio per input 🌍 90+ languages 🧠 128K context • Whisper-Medium encoder + Qwen3-0.6B decoder 🎯 hotword boosting for names, products & domain terms Perfect for meetings, podcasts, interviews, and long-form call analysis — no cloud, no data leaving your Mac. Get started now: 🐍 Python > uv pip install -U mlx-audio 🍎 Swift .package(url: " from: "0.1.3") Go build. 🚀
1:40

🎉 Congrats to MOSI + OpenMOSS on the release of MOSS-Transcribe-Diarize-0.9B — a genuinely impressive end-to-end ASR model for real-world, multi-speaker conversations. We're proud to partner with them for day-0 support on mlx-audio (Python & Swift). Now running local-first on Apple Silicon: 🎙️ transcript + speaker labels + timestamps in one pass 🗣️ unlimited-speaker diarization ⏱️ up to ~90 min of audio per input 🌍 90+ languages 🧠 128K context • Whisper-Medium encoder + Qwen3-0.6B decoder 🎯 hotword boosting for names, products & domain terms Perfect for meetings, podcasts, interviews, and long-form call analysis — no cloud, no data leaving your Mac. Get started now: 🐍 Python > uv pip install -U mlx-audio 🍎 Swift .package(url: " from: "0.1.3") Go build. 🚀

Prince Canuma

11,600 görüntüleme • 2 ay önce

Automate or simplify your workflow for subtitle creation with Voxtral Transcribe 2.0! From word-level timestamps to diarization and context biasing, take it further by leveraging our other general-purpose models to translate subtitles.
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Automate or simplify your workflow for subtitle creation with Voxtral Transcribe 2.0! From word-level timestamps to diarization and context biasing, take it further by leveraging our other general-purpose models to translate subtitles.

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Introducing Prompter. Pro teleprompting built for chat, scripts, meetings, and more. Available now:
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Introducing Prompter. Pro teleprompting built for chat, scripts, meetings, and more. Available now:

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India is a voice-first nation: countless languages, scripts, and accents. Introducing Indic-Transcribe: built to understand India as she actually speaks. Built by @BodhanAI and @AI4Bharat. 🎙️ 1.2B params · 26 languages + English Live on 05.09.2026
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India is a voice-first nation: countless languages, scripts, and accents. Introducing Indic-Transcribe: built to understand India as she actually speaks. Built by @BodhanAI and @AI4Bharat. 🎙️ 1.2B params · 26 languages + English Live on 05.09.2026

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We're introducing two new transcription models in the API: • GPT-Live-Transcribe: built for low-latency live transcription. • GPT-Transcribe: optimized for asynchronous transcription of completed audio files and batch workloads. Both models better understand context and deliver more accurate transcription on real world audio across accents and languages, including for short phrases, numbers, specialized terminology, and speech with loud background noise.
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We're introducing two new transcription models in the API: • GPT-Live-Transcribe: built for low-latency live transcription. • GPT-Transcribe: optimized for asynchronous transcription of completed audio files and batch workloads. Both models better understand context and deliver more accurate transcription on real world audio across accents and languages, including for short phrases, numbers, specialized terminology, and speech with loud background noise.

OpenAI Developers

453,692 görüntüleme • 1 ay önce

microsoft just released a tool that transcribes a full hour of audio at once, tracking who spoke and when. it's called vibevoice the 7b model processes the full recording in one shot instead of chunking it, so speaker identity and context never break across segments → full speaker diarization built in, not bolted on → structured timestamps for every speaker turn → supports 50+ languages runs locally, no api costs.
5:45

microsoft just released a tool that transcribes a full hour of audio at once, tracking who spoke and when. it's called vibevoice the 7b model processes the full recording in one shot instead of chunking it, so speaker identity and context never break across segments → full speaker diarization built in, not bolted on → structured timestamps for every speaker turn → supports 50+ languages runs locally, no api costs.

Oliver Prompts

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Use your voice and screen context to get more done with Gemini 3.5 Transcribe in the Gemini app for macOS. Gemini 3.5 Transcribe makes it easy to summarize local files, plan and research, and create images using free natural language.
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Use your voice and screen context to get more done with Gemini 3.5 Transcribe in the Gemini app for macOS. Gemini 3.5 Transcribe makes it easy to summarize local files, plan and research, and create images using free natural language.

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🚀 Introducing +AI Meeting Notes! Now, within Spark, you can easily transcribe and summarize your meetings! Available now on Desktop, with read-only mode on mobile ✨
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🚀 Introducing +AI Meeting Notes! Now, within Spark, you can easily transcribe and summarize your meetings! Available now on Desktop, with read-only mode on mobile ✨

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fenix 8 is here, and it’s evolved. - AMOLED or Solar - Built-in speaker and microphone - Dive rated with leakproof buttons and new sensor guard - Dynamic round-trip routing - Sport-specific strength training - And much, much, more. ♾️
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fenix 8 is here, and it’s evolved. - AMOLED or Solar - Built-in speaker and microphone - Dive rated with leakproof buttons and new sensor guard - Dynamic round-trip routing - Sport-specific strength training - And much, much, more. ♾️

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One of the most important updates coming out of Made by Google today is our new sign-to-text feature in Gboard & Live Transcribe. Built in partnership with the Deaf community, this can help people who sign ASL communicate more seamlessly with their phone or with those who don't sign, like in this Live Transcribe demo:
0:28

One of the most important updates coming out of Made by Google today is our new sign-to-text feature in Gboard & Live Transcribe. Built in partnership with the Deaf community, this can help people who sign ASL communicate more seamlessly with their phone or with those who don't sign, like in this Live Transcribe demo:

Sundar Pichai

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Google just launched Gemini 3.5 Transcribe, its most precise speech-to-text model yet. I built this app using Gemini 3.5 Transcribe and have been playing with the model for quite some time. Thanks to the Google DeepMind team for the early access. It’s already available in the Gemini API, AI Studio, and Antigravity, and is now in public preview.
2:03

Google just launched Gemini 3.5 Transcribe, its most precise speech-to-text model yet. I built this app using Gemini 3.5 Transcribe and have been playing with the model for quite some time. Thanks to the Google DeepMind team for the early access. It’s already available in the Gemini API, AI Studio, and Antigravity, and is now in public preview.

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