Open Speech-to-Text Models
Speech recognition models you can run offline, including Whisper, Parakeet, Moonshine and SenseVoice.
An open-source AI model family you can run locally through Ollama or LM Studio, with language, vision and speech models under Apache 2.0.
44Updated 2 months agoApache-2.0
Linux#Guardrails#Hugging Face integration#LM Studio integration
Granite is IBM's family of AI models for developers and businesses building applications on their own hardware or servers. You can customize the models for enterprise tasks, including coding assistants and document analysis.
Coding ModelsEmbedding and Reranker ModelsOpen-Weight LLMsSpeech-to-Text ModelsVision-Language Models+0
Local speech recognition models transcribe English audio with smaller, faster Whisper variants, Hugging Face Transformers support, and an MIT license.
4.1KUpdated 2 years agoMIT
#Batch processing#Hugging Face integration
Distil-Whisper is a family of speech recognition models for developers who want to transcribe English audio on their own hardware. The models build on Whisper, reducing model size and processing time with some differences in accuracy.
Speech-to-Text and TranscriptionSpeech-to-Text Models+0
An open-source voice AI model family for local transcription and speech generation, with CPU recognition and streaming text-to-speech under the MIT license.
57.2KUpdated 1 month agoMIT
#Hugging Face integration#Multilingual#Quantization
VibeVoice is a family of voice AI models for developers and researchers building transcription and speech generation applications. It can capture who spoke and when, or produce spoken responses from incoming text.
Speech-to-Text and TranscriptionSpeech-to-Text ModelsText-to-Speech and AudiobooksText-to-Speech Models+0
A local speech recognition model transcribes Mandarin, Cantonese, English, Japanese and Korean, with emotion and sound tags, on CPU or GPU.
9.7KUpdated 1 month agoMIT
Docker#Batch processing#GGUF#Hugging Face integration
SenseVoice is a local speech recognition model for developers building voice apps or analyzing recordings. Its SenseVoiceSmall model adds information about the language, emotion and surrounding sounds to speech transcriptions.
Speech-to-Text and TranscriptionSpeech-to-Text Models+0
Local AI translation models handle speech and text, with streaming translation and speech output that preserves voice style.
11.9KUpdated 2 months ago
macOS · Linux · Web#Batch processing#Hugging Face integration#Multilingual
Seamless Communication is Meta's family of AI models for developers and researchers building multilingual speech applications. It covers translation and transcription, with dedicated models for conversations and expressive speech.
Speech-to-Text and TranscriptionSpeech-to-Text ModelsText-to-Speech and AudiobooksText-to-Speech ModelsTranslation+0
A local AI music analysis model transcribes lyrics with timestamps, describes songs, and answers questions about full tracks through SGLang or Transformers.
221Updated 6 months ago
Web#Hugging Face integration#Multilingual#Multimodal input
MOSS-Music is a local AI model for people who need to describe, transcribe, or analyze recorded music. It works with full tracks and combines sung lyrics with musical details in its responses.
Music and Sound ModelsSpeech-to-Text and TranscriptionSpeech-to-Text Models+0
An on-device voice AI toolkit that combines speech recognition, intent recognition and text to speech across desktop, mobile and browser applications.
11.5KUpdated 1 week ago
macOS · Windows · Linux · iOS · Android · Web#Multilingual#Streaming inference
Moonshine is an on-device AI toolkit for developers building voice agents and spoken interfaces. Voice processing runs on the device without 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
An audio AI model family understands speech and sound, generates spoken replies, and offers Apache 2.0 mini models for local GPU deployment.
1.5KUpdated 8 months agoApache-2.0
Docker · Web#Distributed execution#Hugging Face integration#Multilingual
Step-Audio 2 is an audio AI model family for developers building voice assistants and applications that interpret recordings. It can reason about what people say and how they say it, as well as sounds beyond speech.
Open-Weight LLMsSpeech-to-Text ModelsText-to-Speech ModelsTranslationVoice Assistants+0
An MIT-licensed speech recognition model for local transcription, multilingual audio and translation into English, with several model sizes.
112.7KUpdated 2 months agoMIT
#Multilingual#Voice activity detection
Whisper is an open source speech recognition model for transcribing recordings on your own hardware. It's for developers building voice features and people working with multilingual audio.
Speech-to-Text and TranscriptionSpeech-to-Text Models+0
A multimodal AI model family that understands text, images, video and audio, with an Omni model that generates text, images and speech.
1.1KUpdated 3 months ago
#Image-to-image#LoRA#Multimodal input
Uni MoE is a family of multimodal AI models for researchers working with language, visual material and audio together. Its Omni model can reason across combined inputs and answer questions about their content.
Image Generation ModelsMusic and Sound ModelsSpeech-to-Text ModelsText-to-Speech ModelsVision-Language Models+0
An English speech-to-text model for local NeMo inference on Linux, with punctuation, word timestamps and CC BY 4.0 weights.
18.7KUpdated 1 day agoApache-2.0
Linux · Docker#Batch processing#Hugging Face integration
Parakeet is NVIDIA's speech recognition model family. The linked English model, parakeet-tdt-0.6b-v2, is for developers building transcription services, subtitles and voice applications with a model they can run locally.
Speech-to-Text and TranscriptionSpeech-to-Text Models+0
An open-source audio AI model for offline transcription, translation and recording Q&A, with vLLM and Transformers support under Apache 2.0.
10.8KUpdated 5 months agoApache-2.0
#Hugging Face integration#Multilingual#Multimodal input
Voxtral Small is an audio and text model for developers building self-hosted speech applications. The separate mistral-inference library is archived and no longer maintained; this model runs with vLLM or Hugging Face Transformers.
Open-Weight LLMsSpeech-to-Text and TranscriptionSpeech-to-Text ModelsTranslation+0
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