Jotr is described as 'Free Mac transcription app for audio and video files. It helps Mac users turn recordings into local transcripts, timestamped review sessions, notes, highlights, summaries, captions, and clean exports' and is a audio transcription tool in the audio & music category. There are more than 50 alternatives to Jotr for a variety of platforms, including Mac, Web-based, Windows, iPhone and iPad apps. The best Jotr alternative is Handy STT, which is both free and Open Source. Other great apps like Jotr 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.
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.
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.
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.
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.
United States
France
EU
Germany
Kazakhstan
New Zealand
Nepal