speech-to-text

A self-hosted Docker Compose stack for running local AI services including Ollama, LiteLLM, Whisper, Kokoro, embeddings, and an MCP Gateway.

AI-powered mock interview tool that generates role-specific questions from your CV and job description, scores answers, and gives concrete feedback and rewrites.

A macOS voice layer for AI workflows that turns speech into text, prompts, rewrites, read-aloud actions, and chat. It supports Gemini, optional OpenAI and xAI integrations, and offline Whisper dictation without an account.

An iOS productivity app for offline speech-to-text, AI-assisted dictation, meeting transcription, and summaries. It runs on-device, supports multiple languages, and includes keyboard-based writing tools plus exports and integrations.

Open-source SDK and libraries for building local-first, peer-to-peer AI apps. It supports local LLM inference, embeddings, translation, transcription, TTS, OCR, image generation, and an OpenAI-compatible API across desktop and mobile platforms.

A macOS command-line tool for on-device AI and voice tasks, including speak, listen, transcribe, chat, and an OpenAI-compatible local server.

Local push-to-talk dictation for macOS that uses Whisper, stays on-device, and pastes text at the cursor.

An open-source conversational language tutor for iOS with voice I/O, AI-powered feedback, and support for bringing your own API keys.

An iPhone and iPad dictation app that cleans up speech into formatted text, with on-device or cloud transcription and a meeting bot that drafts follow-up emails.

A local speech-to-text MCP server for AI agents, with CLI transcription and support for Parakeet or Granite backends.

A write-up of a custom French-learning system built around spaced repetition, grammar tracking, and a voice practice app. It explains the problem, the workflow, and the model/API stack used to keep costs low.