parakeet-tdt-0.6b-v3-gguf is an open source multilingual automatic speech recognition model in GGUF format. It supports transcription in 25 languages and is intended for developers and researchers building ASR solutions. Below are 12 voice, tts & speech apps with similar functionality to Parakeet Tdt 0.6b, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
parakeet-tdt-0.6b-v2-gguf is an open source English automatic speech recognition model in GGUF format. It is designed for developers and researchers working on speech-to-text applications and ASR pipelines.
parakeet-tdt-0.6b-v3-ptBR-gguf is an open-source automatic speech recognition model fine-tuned for Brazilian Portuguese. Distributed in GGUF format, it is compatible with parakeet.cpp and enables accurate transcription of Portuguese audio for research and production use.
parakeet-ctc-0.6b-gguf is an open-source automatic speech recognition model using CTC decoding. It allows developers and researchers to transcribe audio to text efficiently, supporting both local and API-based inference. Suitable for speech AI and transcription projects.
parakeet-rnnt-0.6b-gguf is an open-source automatic speech recognition model based on the RNN-T architecture. It enables developers and researchers to transcribe audio to text using open weights, supporting both local and API-based inference. Ideal for speech AI projects.
parakeet-tdt-0.6b-v3-onnx-static-qdq-pc is an open-source automatic speech recognition model in ONNX format. It supports multilingual input, quantized inference, and is suitable for developers building local ASR solutions.
parakeet-tdt-0.6b-v3-gguf is a quantized automatic speech recognition (ASR) model designed for on-device transcription. Used by the Vibe app, it supports long-form audio processing and is compatible with various hardware. The model is open-source and distributed via Hugging Face for developer integration.
parakeet-ctc-1.1b-gguf is an open-source speech-to-text model based on the Parakeet CTC architecture, designed for offline and API-based transcription. It supports English audio input and is suitable for developers and researchers building ASR solutions.
parakeet-tdt-0.6b-v2-mlx-8bit is an open-source, quantized speech recognition model optimized for Apple Silicon. It allows developers to run efficient, on-device ASR for dictation and voice applications. Distributed via Hugging Face.
parakeet-tdt-0.6b-v3 is an open-source AI model by NVIDIA for automatic speech recognition and transcription. Available on Hugging Face, it can be accessed via API or installed using pip, making it suitable for developers and researchers working on speech-to-text applications.
Parakeet TDT 0.6b V3 is a web-based tool for transcribing speech audio into text, providing start and end times for each segment. Users can upload audio files or record directly, and download the resulting transcript. It is suitable for researchers and professionals needing accurate speech-to-text conversion.
parakeet-0.6b-ja-coreml is an open-source Japanese speech recognition model compatible with CoreML, designed for local inference on Apple devices. It is intended for developers and researchers working with Japanese audio data who require efficient, on-device transcription capabilities.
Parakeet STT Progressive Transcription is a web app that listens to your microphone and transcribes spoken words into written text in real time. It leverages advanced speech-to-text models for continuous, accurate transcription, making it useful for accessibility, note-taking, and live captioning.
