The best Audio Transcription alternative to Handy STT is Vibe Transcribe, which is both free and Open Source. If that doesn't suit you, our users have ranked more than 100 alternatives to Handy STT and loads of them are Audio Transcription Tools so hopefully you can find a suitable replacement. Other interesting Audio Transcription Tool alternatives to Handy STT are OpenWhispr, FUTO Voice Input, Voxtral and TypeWhisper.
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.
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.
FUTO Voice Input is an application that lets you do speech-to-text on Android, integrating with third party keyboards or apps that use the generic speech-to-text APIs.
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.
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.
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.
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.
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.
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.
Local macOS solution for fast AI-powered transcription and translation of audio or video in over 100 languages, featuring speaker diarization, batch processing, GPU acceleration, file-type flexibility, drag-and-drop support, advanced editing, and secure privacy.
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.
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
New Zealand
Voxtral seems to be a series of libraries for Python use. It's not a tool that allows speech to text from your desktop.