whisper

OpenAI API client for Kotlin with multiplatform and coroutines capabilities.

Record your screen, ship a demo. Free and open-source, GPU-accelerated, no watermarks, no subscriptions. Windows, macOS, Linux. Actively maintained.

Cross-Platform, GPU Accelerated Whisper 🏎️

Local speech-to-text for macOS on-device AI, fully private, optional cloud

OBS plugin for local speech recognition and captioning using AI

🎙️ AI Dictation App - Open Source and Local-first ⚡ Type 3x faster, no keyboard needed. 🆓 Powered by open source models, works offline, fast and accurate.

An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.

Using OpenAI's Whisper to automatically generate YouTube subtitles

Every meeting, every idea, every voice note, searchable by your AI. Open-source, privacy-first conversation memory layer.

Multi-backend whisper app. Blazing fast. Mac-arm optimized. Easy install. Input a local file or url and this service will transcribe it using Whisper AI. Completely private and Free 🤯🤯🤯

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

Whisper command line client compatible with original OpenAI client based on CTranslate2.

Natural voice conversations with Claude Code

Gp.nvim (GPT prompt) Neovim AI plugin: ChatGPT sessions & Instructable text/code operations & Speech to text [OpenAI, Ollama, Anthropic, ..]

The TypeScript library for building AI applications.

Give Claude the ability to watch and understand videos — Claude Code plugin with frame extraction and multimodal audio analysis

AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment

Voice-to-text with push-to-talk for Wayland compositors

The simplest way to serve AI/ML models in production