Audio
DeLive
Live captions and AI meeting review from any system audio — local-first.
★ 281 SterneApache-2.0
Anleitung ansehen →amazon-transcribe-live-meeting-assistant ist ein Open-Source-Projekt aus der Kategorie Audio von aws-samples (aws-samples/amazon-transcribe-live-meeting-assistant auf GitHub). Es hat 166 Sterne auf GitHub und 57 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 1. Oktober 2026 auf GitHub aktualisiert.
AWS sample app for live meeting transcription and AI summaries.
Download the sample and enter the folder.
Set credentials and region for Transcribe and Bedrock.
Pull the Python packages it needs.
Launch the assistant and start transcribing.
Real-time speech-to-text via Amazon Transcribe.
AI summaries from Amazon Bedrock models.
Multilingual meeting support.
Ask questions about the live meeting.
Shows how the services fit together.
Reuse the patterns freely.
Download the source and move into the project folder.
git clone https://github.com/aws-samples/amazon-transcribe-live-meeting-assistant.git
cd amazon-transcribe-live-meeting-assistantSet your credentials and region.
aws configurePull deps and launch per the README.
pip install -r requirements.txtIt is an AWS Samples project at aws-samples with 57 forks.
The code is MIT licensed; AWS service usage is billed normally.
No. It is a reference implementation to learn from and adapt.
Amazon Transcribe for speech-to-text and Bedrock plus other AI services.
Yes. Transcription and Bedrock calls run against your account.
Live captions and AI meeting review from any system audio — local-first.
Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
Fully local transcription with diarization, for every desktop OS.
Meeting recorder designed for your Mac with a live AI copilot.
WhisperLive: a nearly-live OpenAI Whisper transcription server for files, mics, and streams
Native desktop UI for live Whisper transcription and translation.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls amazon-transcribe-live-meeting-assistant nicht das Richtige ist.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Verwandte Projekte der Kategorie Audio im Katalog, die amazon-transcribe-live-meeting-assistant bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Open source no-cost alternative to Cluely & Parakeet AI.
AgentCall lets AI Agents join meetings with voice
NVIDIA Broadcast-style AI effects for Linux and macOS.
A mental-model-first guide from waveforms to voice systems.
Nebulynk — a self-hosted home for your team's conversations, calls, publicly available.
Faster-Whisper-XXL-GUI — gui for faster‑whisper‑xxl transcription tool: download, open-...
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.