parakeet-ctc-0.6b-gguf is an open-source automatic speech recognition model using CTC decoding. Below are 14 voice, tts & speech apps with similar functionality to Parakeet Ctc 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-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-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-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.
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-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-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-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-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-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 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.
gigaam-v3-ctc-gguf is an open-source Russian ASR model using CTC decoding, distributed in GGUF format for use with local inference tools. It supports quantized variants for efficient offline transcription.
gigaam-v3-e2e-ctc-gguf is an open-source Russian automatic speech recognition model using CTC decoding, distributed in GGUF format for use with local inference tools. It supports quantized variants for efficient offline transcription.
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.
