How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Local speech-to-text for macOS on-device AI, fully private, optional cloud
The main features of typewhisper/typewhisper-mac are: Desktop Applications, Voice Dictation, Voice To Text.
Open-source alternatives to typewhisper/typewhisper-mac include: beingpax/voiceink — VoiceInk is a system-wide speech-to-text dictation tool that converts spoken audio into text using local or cloud AI… chidiwilliams/buzz — Buzz is a desktop application that provides a local speech-to-text engine for transcribing and translating audio and… evoleinik/fnkey — Hold Fn key, speak, paste transcribed text. macOS menu bar app. epicenterhq/epicenter — Epicenter is a local-first knowledge management system and data orchestrator designed to structure information… azex-ai/speech — macOS native voice input for Crypto + AI professionals — offline ASR, domain vocabulary, implicit learning. kdcokenny/opendictation — Mac-native dictation that just works – lives in the notch, zero setup, free forever.
Buzz is a desktop application that provides a local speech-to-text engine for transcribing and translating audio and video files. By leveraging local machine inference, the software ensures data privacy and offline performance, removing the need for cloud connectivity during media processing. The application distinguishes itself through a modular plugin architecture that allows for the integration of custom functionality, such as content summarization and automated text formatting, without modifying the core codebase. It also features a speaker diarization pipeline that identifies and labels
VoiceInk is a system-wide speech-to-text dictation tool that converts spoken audio into text using local or cloud AI models. It functions as a local AI transcription engine and a context-aware voice assistant, allowing users to insert transcribed text directly into any active application on the operating system. The project distinguishes itself through the use of custom vocabulary management, which trains transcription engines to recognize industry-specific technical terms, professional terminology, and personal names. It further enhances output by using large language models to refine raw tr
macOS native voice input for Crypto AI professionals — offline ASR, domain vocabulary, implicit learning
Epicenter is a local-first knowledge management system and data orchestrator designed to structure information generated by large language models into validated schemas. It functions as a storage architecture that persists application data in human-readable files and databases to ensure user ownership and portability. The system distinguishes itself by projecting language model outputs into structured, schema-validated tables and utilizing conflict-free replicated data types to synchronize application state across multiple devices without a central server. This allows for offline access and c