The best Audio Transcription alternative to Whisper is Handy STT, which is both free and Open Source. If that doesn't suit you, our users have ranked more than 100 alternatives to Whisper and loads of them are Audio Transcription Tools so hopefully you can find a suitable replacement. Other interesting Audio Transcription Tool alternatives to Whisper are Vibe Transcribe, Voxtral, FUTO Voice Input 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.
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.
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.
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.
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.
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.
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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