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 50 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, OpenWispr and Whisper.
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.
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.
Advanced macOS menu bar tool with customizable per-app volume, fast audio device switching, Multi-Output playback, external monitor control, privacy-focused AI transcription, media keys routing, Now Playing info, smart muting, and full HUD customization.
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.
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.
Converts audio and video to text automatically with drag-and-drop, batch support, and reliable offline operation for privacy. Handles varied environments, multiple languages, and exports as TXT, CSV, SBV, SRT, or VTT while providing versatile transcript splitting options.
Instantly converts spoken words to text using local AI for near-perfect accuracy and privacy, with real-time transcription, seamless macOS integration, user-supplied AI keys, multiple language support, and no cloud data upload required.
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