Spokenly is described as 'Real-time voice dictation for Mac with instant transcription, customizable shortcuts, advanced voice recognition, no data collection, and broad compatibility' and is a audio transcription tool in the ai tools & services category. There are more than 100 alternatives to Spokenly for a variety of platforms, including Mac, Windows, Web-based, iPhone and Android apps. The best Spokenly alternative is Handy STT, which is both free and Open Source. Other great apps like Spokenly are Vibe Transcribe, Voxtral, OpenWhispr and TypeWhisper.
VoxTap is 100% offline voice-to-text for macOS that types at your cursor in any app: Terminal, VS Code, Slack, everywhere.
On-device AI. No cloud, no subscription, no signup. Just press a hotkey and talk.
$29 one-time. 45-minute free trial.
VibeVoice is an OS-embedded voice client (Windows, Mac, Linux) that replaces your keyboard in ANY application. Includes a WhatsApp Bot for instant transcription. Zero-config, EU-Privacy.
AI executive assistant that records Google Meet, Zoom, Teams, Webex; transcribes and makes instant summaries: decisions, action items, minutes, smart titles. Search/tag, jump to quotes, export/share.
SenseVox is an open-source offline voice input app for Windows with a simple GUI, using the SenseVoice-Small model for efficient and accurate speech recognition.
hns is a privacy-focused open-source command-line tool for on-device speech-to-text. It records your voice, transcribes it completely locally using faster-whisper, and automatically copies the text to clipboard for immediate use in any application.
This is an iOS application written in Objective-c for assisting the people who want to work out a piece of audio in order to write it out.
Windows Speech Recognition makes using a keyboard and mouse optional. You can control your PC with your voice and dictate text instead.
Not just voice-to-text. Vowise helps you organize, execute, and accumulate knowledge on the go. Say it, done.
Amphion is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
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