whisper-large-v3-onnx is an open-source ONNX-converted version of the Whisper large v3 model for automatic speech recognition. Below are 6 voice, tts & speech apps with similar functionality to Whisper Large, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
whisper-large-v3-turbo is an open-source automatic speech recognition model for transcribing audio to text. It is available for local inference via CLI and is intended for AI researchers and developers.
whisper-large-v3-turbo-mlx-8bit is an open-source speech recognition model based on Whisper, quantized for efficient on-device inference using MLX. It enables developers to perform speech-to-text transcription locally, making it suitable for privacy-focused or offline applications.
Whisper Large V2 is a web application that transcribes audio files into text using a large-scale speech recognition model. Users can upload audio and receive accurate transcriptions, making it useful for transcription tasks and accessibility.
Whisper For Large Audio is a browser-based tool that allows users to upload and partition large audio files, then transcribe them using OpenAI Whisper. It is designed for content creators and researchers who need accurate, scalable audio transcription.
Whisper Large V3 is a web application that converts spoken audio from recordings, uploads, or YouTube links into written text. It supports both transcription and translation, making it useful for content creators, researchers, and anyone needing accurate speech-to-text conversion.
faster-whisper-large-v3 is an open-source automatic speech recognition model converted for use with CTranslate2. It supports 100 languages and is suitable for developers and researchers building local or embedded speech-to-text solutions.
