Voxtral is described as 'State-of-the-art speech models with transcription, translation, and audio understanding, available via API or self-hosted, optimized for cost and efficiency' and is a audio transcription tool in the ai tools & services category. There are more than 50 alternatives to Voxtral for a variety of platforms, including Mac, Web-based, Windows, iPhone and Linux apps. The best Voxtral alternative is Handy STT, which is both free and Open Source. Other great apps like Voxtral are Vibe Transcribe, FUTO Voice Input, ElevenLabs and Spokenly.
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.
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.
ElevenLabs uses AI to deliver natural, expressive speech for diverse applications such as podcasts and videos. It features a user-friendly interface, customizable intonation, and offers seamless API integration. Privacy, scalability, and multilingual capabilities enhance its adaptability.
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.
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.
TalkNotes turns audio into structured notes, todos, flashcards, and transcripts using AI transcription in 100+ languages. Automatically capture lectures, meetings, or any speech into actionable text, ensuring tasks never get lost, with user-friendly accessibility for everyone.
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.
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.
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...
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