#javascript #docker #docker_compose #ethereum #geth #graphql #nodejs #reactjs #smart_contracts #solidity #whisper #zk_snarks #zokrates

https://github.com/ethereum-oasis/baseline

#javascript #api #ethereum #swarm #whisper

https://github.com/ChainSafe/web3.js

#c_lang #openai #speech_to_text #transformer #whisper

https://github.com/ggerganov/whisper.cpp

#python #whisper

https://github.com/chidiwilliams/buzz

#kotlin #api #chatgpt #client #coroutines #dall_e #gpt #llm #multiplatform #openai #whisper

https://github.com/aallam/openai-kotlin

#swift #inference #ios #macos #pretrained_models #speech_recognition #swift #transformers #visionos #watchos #whisper

WhisperKit is a tool that helps your Apple devices recognize speech from audio files or live recordings using OpenAI's Whisper model. It works locally on your device, which means it doesn't need internet connection once set up. To use it, you can add WhisperKit to your Swift project easily through the Swift Package Manager or install a command-line version using Homebrew. This tool is beneficial because it allows you to transcribe audio quickly and efficiently right on your device, making it useful for various applications like voice assistants or transcription services.

https://github.com/argmaxinc/WhisperKit

#python #asr #automatic_speech_recognition #conformer #e2e_models #production_ready #pytorch #speech_recognition #transformer #whisper

WeNet is a powerful tool for speech recognition that helps turn spoken words into text. It's designed to be easy to use and works well in real-world situations, making it great for businesses and developers. WeNet provides accurate results on many public datasets and is lightweight, meaning it doesn't require a lot of resources to run. This makes it beneficial for users who need reliable speech-to-text functionality without complex setup or maintenance.

https://github.com/wenet-e2e/wenet

#cplusplus #ai #automation #cross_platform #linux #live #llm #mac #macos_app #meeting_minutes #meeting_notes #recorder #rust #whisper #whisper_cpp #windows

Meetily is an AI meeting assistant that helps teams by capturing and transcribing meeting audio in real-time. It generates meeting summaries and action items, making it easier to review and follow up on discussions. Meetily focuses on privacy by processing data locally on your device, ensuring your meeting content remains secure. It's cost-effective, works offline, and supports multiple platforms. Users can customize it to fit their needs, making it a convenient tool for efficient meeting management. This helps teams focus on discussions without worrying about taking notes manually.

https://github.com/Zackriya-Solutions/meeting-minutes

#typescript #ai #cross_platform #desktop #openai #rust #transcribe #whisper

You can use Vibe to easily transcribe audio and video files on your own computer without needing the internet. It works offline using OpenAI’s Whisper engine, so your data stays private and never leaves your device. Vibe supports many languages, multiple file formats like SRT for captions, and can transcribe from system audio, microphone, or popular websites. It runs on Mac, Windows, and Linux, and offers features like batch transcription, real-time preview, translation, and AI-powered summaries. This helps you quickly get accurate transcripts while keeping your information secure and under your control.

https://github.com/thewh1teagle/vibe

#python #deep_learning #inference #openai #quantization #speech_recognition #speech_to_text #transformer #whisper

Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches.

https://github.com/SYSTRAN/faster-whisper

#typescript #ai #cuda #mlx #qwen3_tts #qwen3_tts_ui #voice_ai #voice_clone #whisper

Voicebox is a free, open-source voice synthesis studio that lets you clone voices, generate speech in 23 languages, and apply audio effects—all running privately on your computer. You can create realistic voice clones from just seconds of audio, use five different text-to-speech engines for different needs, add effects like reverb and pitch shift, and build multi-voice projects with a timeline editor. The key benefit is complete privacy: your voice data and AI models never leave your machine, unlike cloud-based alternatives. It also includes an API for building voice-powered applications and works across Mac, Windows, and Linux with GPU acceleration support.

https://github.com/jamiepine/voicebox

#python #audiobook #faster_whisper #gradio #karaoke #podcasts #speech_recognition #speech_synthesis #speech_to_text #subtitles #text_to_speech #transcription #translator #tts #voice_cloning #voice_conversion #webui #whisper #whisperx #yt_dlp

Voice-Pro is a free, open-source Windows app that lets you download YouTube videos, separate voices, turn speech into text, translate into 100+ languages, and create new speech or cloned voices. It gives you one tool for subtitles, dubbing, and voice work, so you can save time and make multilingual content more easily.

https://github.com/abus-aikorea/voice-pro