YazSes is described as 'Offline hold-to-talk voice dictation and transcription for the desktop. Hold a key, speak, release — the text is typed into the focused app. Speech recognition runs locally after setup and model download, so no cloud account, API key, GPU or subscription is needed' and is a audio transcription tool in the audio & music category. There are eight alternatives to YazSes for a variety of platforms, including Linux, Mac, Windows, Self-Hosted and Flathub apps. The best YazSes alternative is Handy STT, which is both free and Open Source. Other great apps like YazSes are Vibe Transcribe, Voxtral, TypeWhisper and Speech Note.
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.
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.
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.
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.
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