Super Voice Mode is described as 'AI assistant for Mac enabling voice dictation, live transcription, real-time subtitles, privacy-focused on-device processing, and AI writing in any app' and is an app in the ai tools & services category. There are more than 50 alternatives to Super Voice Mode for a variety of platforms, including Mac, Windows, iPhone, Web-based and Android apps. The best Super Voice Mode alternative is Handy STT, which is both free and Open Source. Other great apps like Super Voice Mode are Vibe Transcribe, Voxtral, OpenWhispr and TypeWhisper.
Free open source speech-to-text app for desktop runs fully offline, keeping transcription and audio data private. Extensible and customizable, supports accessibility, cross-platform use, and community-driven modifications. No subscriptions or internet requirement.
Delivers offline transcription of audio and video using local AI for privacy, supports batch processing, multi-language input, real-time preview, multi-format export, English translation, direct printing, system audio, microphone input, CLI, and setup customization on Windows, Linux, or macOS.
Advanced audio models for transcription, translation, and understanding, optimized for production and edge deployment, API accessible, open-source with Apache 2.0, delivering high accuracy, resource efficiency, and support for both large-scale and local use cases.
Transforms spoken language into text using Whisper, supporting local and cloud AI, instant transcription, custom dictionaries, auto-paste, privacy-first local processing, cross-platform compatibility, Pro and free tiers, detailed history, and advanced customization options.
Runs privacy-focused speech-to-text locally on macOS, enabling system-wide dictation, batch audio and video file transcription, multi-engine support, drag-and-drop workflows, per-app profiles, searchable history, subtitle export with timestamps, and automation integration.
Powered by Google's latest Gemma technology, Google AI Edge Eloquent is an advanced dictation app engineered to bridge the gap between natural speech and professional, ready-to-use text.
An open-source, end-to-end speech recognition system trained on 680,000 hours of diverse audio, providing multilingual transcription, to-English translation, language identification, phrase-level timestamps, and high performance in real-world scenarios using transformer architecture.
Voice recognition software offering real-time transcription across any Mac app, instant customizable shortcuts, support for diverse accents, visual cues, privacy-focused with no hidden data collection, reduces manual typing, fully integrates for note taking, chat, or drafting.
Processes voice-to-text instantly on Mac with privacy-first local AI, zero delay, no subscriptions, open-source code, optional context-enhanced transcription, direct input into any app, hardware-optimized performance, and full offline control.
Optimized for edge hardware, this open-source tool provides fast, private on-device speech recognition for real-time transcription, command and speaker identification, lower word-error rates than Whisper models, and multi-language support over varied platforms.
Fully offline speech-to-text for macOS, prioritizing privacy by processing all transcriptions on device, optimized for Apple Silicon, lightweight at under 200MB RAM, compatible with any app, efficient in the background, with no recurring subscription, and fast model setup.
A privacy-first, open-source speech-to-text application that runs entirely on your machine, powered by a neural network via NVIDIA’s Parakeet model for fast, local transcription. Murmure turns your voice into text with no internet connection and zero data collection, and...
United States
France
EU
Germany
Kazakhstan
