Chat com IA
Atomic-Chat
Local AI app and inference engine — open-weight LLMs, fully offline.
★ 1,7 mil estrelasCustom
Ver o guia →Faster-Whisper-XXL-GUI é um projeto de áudio de código aberto de cbro33 (cbro33/Faster-Whisper-XXL-GUI no GitHub). Tem 129 estrelas no GitHub e 7 forks, é publicado sob a licença GPL-3.0 e foi atualizado pela última vez no GitHub em 11 de agosto de 2026.
Faster-Whisper-XXL-GUI — gui for faster‑whisper‑xxl transcription tool: download, open-...
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around ai for a focused workflow.
Built around audio transcription for a focused workflow.
Built around desktop app for a focused workflow.
Built around faster whisper for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/cbro33/Faster-Whisper-XXL-GUI.gitSet up Python dependencies.
cd Faster-Whisper-XXL-GUI && pip install -r requirements.txtLaunch the application.
cd Faster-Whisper-XXL-GUI && python main.pyIt gUI for Faster‑Whisper‑XXL transcription tool: download YouTube audio, transcribe local files, manage models, and export multiple formats with themes and auto yt‑dlp updates, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
Local AI app and inference engine — open-weight LLMs, fully offline.
HedgeDoc - Ideas grow better together
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Faster Whisper transcription with CTranslate2
Native desktop UI for live Whisper transcription and translation.
WhisperLive: a nearly-live OpenAI Whisper transcription server for files, mics, and streams
Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se Faster-Whisper-XXL-GUI não for o ideal para você.
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++
Projetos de Áudio próximos no catálogo, os mais próximos em estrelas de Faster-Whisper-XXL-GUI: continue explorando dos dois lados dele.
A mental-model-first guide from waveforms to voice systems.
Self-hosted Whisper speech-to-text as a Docker image.
AgentCall lets AI Agents join meetings with voice
Clashgram Web is an open source, glassmorphic client.
AWS sample app for live meeting transcription and AI summaries.
Open source, offline voice-to-text for macOS.
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.