Open Speech-to-Text Models
Speech recognition models you can run offline, including Whisper, Parakeet, Moonshine and SenseVoice.
Open-source voice AI models for local transcription and speech generation, with MIT licensing, CPU inference, and streaming audio support.
54.5KUpdated 4 weeks agoMIT
#Hugging Face integration#Multilingual#Quantization
VibeVoice is a family of MIT-licensed, open-source voice AI models for developers and researchers building local transcription or speech generation tools. Its speech recognition models combine transcript text with speaker labels and timestamps, so recordings retain information about who spoke and when.
Speech-to-Text and TranscriptionSpeech-to-Text ModelsText-to-Speech and AudiobooksText-to-Speech Models+0
An open-source audio AI model for local transcription, translation and Q&A. Runs offline with vLLM or Transformers under Apache 2.0.
10.8KUpdated 3 months agoApache-2.0
#Hugging Face integration#Multilingual#Multimodal input
Voxtral is Mistral AI's open-source audio and text model for developers building self-hosted speech applications. It can answer questions about recordings and produce structured summaries within the same model that transcribes speech. Mistral's separate mistral-inference library is archived and no longer maintained; Voxtral supports vLLM and Hugging Face Transformers.
Open-Weight LLMsSpeech-to-Text and TranscriptionSpeech-to-Text ModelsTranslation+0
An open-source AI model family for on-premises deployment, licensed under Apache 2.0, with language, speech, vision and guardrail models.
273Updated 2 years agoApache-2.0
Linux#Guardrails#Hugging Face integration#LM Studio integration
Granite is IBM's family of open-source AI models for developers and businesses that want to run and customize AI on their own hardware or servers. The language-model repository listed here is archived and no longer maintained. The broader family includes models for language, speech, document understanding and forecasting, released under Apache 2.0 for research and commercial use.
Coding ModelsEmbedding and Reranker ModelsOpen-Weight LLMsSpeech-to-Text ModelsVision-Language Models+0
An on-device AI voice toolkit for speech recognition, intent recognition and text to speech, with support for desktop, mobile, browsers and Raspberry Pi.
11.2KUpdated 1 month ago
macOS · Windows · Linux · iOS · Android · Web#Multilingual#Streaming inference
Moonshine is an on-device AI toolkit for developers building voice agents and applications that listen and speak. It combines speech to text, intent recognition and text to speech in one library. Voice processing stays on the device, and you don't need an account or API keys.
On-Device and In-Browser AISpeech-to-Text and TranscriptionSpeech-to-Text ModelsText-to-Speech and AudiobooksVoice Agent Frameworks+0
Open-source speech recognition model for Mandarin, Cantonese, English, Japanese and Korean. Runs locally on CPU or GPU under the MIT license.
9.4KUpdated 3 weeks agoMIT
Docker#Batch processing#GGUF#Hugging Face integration
SenseVoice is a local speech recognition model that adds language, emotion and sound-event tags to transcriptions. It's for developers building voice applications or analyzing recordings on their own hardware, particularly those working with Mandarin and Cantonese. The project is open source under the MIT license.
Speech-to-Text and TranscriptionSpeech-to-Text Models+0
English speech-to-text model that runs locally through NVIDIA NeMo on Linux, with punctuation, word timestamps and CC BY 4.0 licensed weights.
18.5KUpdated 23 hours agoApache-2.0
Linux · Docker#Batch processing#Hugging Face integration
Parakeet is NVIDIA's speech recognition model family. The linked parakeet-tdt-0.6b-v2 is its English speech-to-text model for developers and researchers building transcription services, subtitles or voice applications. It runs locally through NeMo on Linux, with NVIDIA GPUs recommended for inference. It's a model you can embed in an application, rather than a desktop transcription app.
Speech-to-Text and TranscriptionSpeech-to-Text Models+0
Local speech recognition models for English transcription, built on Whisper. Run on CPU or CUDA GPUs with Hugging Face Transformers under the MIT license.
4.1KUpdated 2 years agoMIT
#Batch processing#Hugging Face integration
Distil-Whisper is a family of local speech recognition models for developers building English transcription into their apps or services. It reduces Whisper's size and processing time while retaining much of its transcription accuracy. It supports English only.
Speech-to-Text and TranscriptionSpeech-to-Text Models+0
An MIT-licensed speech recognition model that runs on your own hardware, transcribes multiple languages and translates speech into English.
109.8KUpdated 4 weeks agoMIT
#Multilingual#Voice activity detection
Whisper is an open source speech recognition model for people who want to transcribe audio on their own hardware. It suits developers adding voice features to an app and anyone working with recordings in multiple languages. OpenAI publishes the models and inference code under the MIT license, so audio can stay on the machine running them.
Speech-to-Text and TranscriptionSpeech-to-Text Models+0
