whispercpp

openai chatgpt or local llm(llama.cpp gguf format)+TTS+STT+Word+Excel

TalkiTo lets developers interact with AI systems through speech across multiple channels (terminal, API, phone). It can be used as both a command-line tool and a Python library.

Compare different Whisper implementations optimized for Apple Silicon

Add comments to your photos with your voice

speech to text gui for different (e.g. Whisper, Voxtral) models and backends, including whisper.cpp, crispasar, mlx-whisper, faster-whisper, ctranslate2; applies pyannote for diarization

Web API that summarizes multimedia from various sources using modern AI tools.

A quick & dirty script to generate and view subtitles and transcriptions for your multimedia files using ggerganov/whisper.cpp

Turn speech into text offline. Transcribe, translate, and burn subtitles easily.

Python wrapper for Whisper.cpp

A Maubot to transcribe audio messages using local open-source libraries

Offline speech-to-text for Linux and macOS, triggered by a desktop shortcut. Powered by whisper.cpp.

A small CLI tool for converting video & audio to a text transcription

Offline audio transcription workflow (whisper.cpp + ffmpeg) with macOS Shortcut automation. Handles real-world formats, silence trimming, and duplicate-line reduction.

whispr is a transcription pipeline built around OpenAI's Whisper model. It supports four backends (three interchangeable general-purpose ones plus an optional Mega-ASR specialist for degraded audio), parallel chunk processing, automatic fallback, and multiple output formats.

Lipi is a lightweight, local-first desktop speech-to-text and voice note application. Built with Tauri v2, Rust, and React 19, it lets you record audio, transcribe speech with OpenAI Whisper or any OpenAI-compatible local/remote endpoint, and manage your notes seamlessly.

Simple bot that transcribes Telegram voice messages. Powered by go-telegram-bot-api & whisper.cpp Go bindings.

Offline macOS speech-to-text app powered by Whisper.cpp. Fully private, runs entirely on-device.

CLI to transcribe YouTube audio to clean JSON + SRT using local Whisper/whisper.cpp or cloud engines (Gemini/OpenAI/ Deepgram). Supports chapters, summaries, caching, and resilient retries.

Install latest llama.cpp, whisper.cpp, and llama-swap on macOS in one command: /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/huajiejin/ggml-tools-installer/main/install_all.sh)"

HTML slide tool (based on W3C slides) with Whisper.cpp integration for captioning.