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Repository: localaiLicense: s1-mini-license

S1-mini by Superwhisper is a 0.6B English text normalizer for raw speech transcripts. It removes fillers and false starts, restores punctuation and capitalization, and formats spoken numbers, dates, currency, and email addresses as written text. This default entry uses the publisher's 462 MB Q4_K_M GGUF and greedy decoding. A higher-fidelity F16 model is available as a variant. Prefix the transcript with the styling, structure, and context control line documented on the model page.
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Repository: localaiLicense: other
# Model Overview ### Description: NVIDIA Nemotron 3 Nano Omni is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows. It extends the Nemotron Nano family with integrated video+speech comprehension, Graphical User Interface (GUI), Optical Character Recognition (OCR), and speech transcription capabilities, enabling end-to-end processing of rich enterprise content such as meeting recordings, M&E assets, training videos, and complex business documents. NVIDIA Nemotron 3 Nano Omni was developed by NVIDIA as part of the Nemotron model family. This model is available for commercial use. This model was improved using Qwen3-VL-30B-A3B-Instruct, Qwen3.5-122B-A10B, Qwen3.5-397B-A17B, Qwen2.5-VL-72B-Instruct, and gpt-oss-120b. For more information, please see the Training Dataset section below. ### License/Terms of Use Governing Terms: Use of this model is governed by the NVIDIA Open Model Agreement ### Deployment Geography: Global ...
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NVIDIA NeMo Parakeet TDT 0.6B v3 is an automatic speech recognition (ASR) model from NVIDIA's NeMo toolkit. Parakeet models are state-of-the-art ASR models trained on large-scale English audio data.
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Repository: localaiLicense: apache-2.0
Voxtral Mini 4B Realtime is a speech-to-text model from Mistral AI. It is a 4B parameter model optimized for fast, accurate audio transcription with low latency, making it ideal for real-time applications. The model uses the Voxtral architecture for efficient audio processing.
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Moonshine Tiny is a lightweight speech-to-text model optimized for fast transcription. It is designed for efficient on-device ASR with high accuracy relative to its size.
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WhisperX Tiny is a fast and accurate speech recognition model with speaker diarization capabilities. Built on OpenAI's Whisper with additional features for alignment and speaker segmentation.
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Repository: localaiLicense: apache-2.0
Omnilingual ASR CTC 300M (int8) is a multilingual automatic speech recognition model supporting 1,600+ languages. Based on Meta's omniASR_CTC_300M architecture (Wav2Vec2 with CTC head), quantized to int8 for efficient inference. Uses the sherpa-onnx backend with ONNX Runtime.
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Repository: localaiLicense: apache-2.0
Streaming English ASR: sherpa-onnx zipformer transducer (int8, chunk-16 left-128). Low-latency real-time transcription with endpoint detection via sherpa-onnx's online recognizer. English-only; for multilingual offline ASR see omnilingual-0.3b-ctc-q8-sherpa.
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Silero VAD served through the sherpa-onnx backend. Uses the same ONNX weights as the dedicated silero-vad backend, loaded through sherpa-onnx's C VAD API. Pairs with the sherpa-onnx ASR entries for round-trip audio pipelines.
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VITS-LJS English single-speaker TTS served through the sherpa-onnx backend. Trained on the LJSpeech corpus at 22.05 kHz. Pairs with the sherpa-onnx ASR entries for round-trip audio pipelines.
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Italian (it_IT) single-speaker Piper VITS voice "paola" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data, so it works for Italian out of the box.
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Repository: localaiLicense: cc-by-nc-sa-4.0
Italian (it_IT) single-speaker Piper VITS voice "dii" (high quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data. Non-commercial use only (CC BY-NC-SA 4.0).
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Repository: localaiLicense: cc-by-nc-sa-4.0
Italian (it_IT) single-speaker Piper VITS voice "miro" (high quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data. Non-commercial use only (CC BY-NC-SA 4.0).
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Italian (it_IT) single-speaker Piper VITS voice "riccardo" (x-low quality, 16 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.
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English (en_US) single-speaker Piper VITS voice "amy" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.
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Spanish (es_ES) single-speaker Piper VITS voice "davefx" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.
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French (fr_FR) single-speaker Piper VITS voice "siwis" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.
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German (de_DE) single-speaker Piper VITS voice "thorsten" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.
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English (en_GB) single-speaker Piper VITS voice "alan" (low quality, 16 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.
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English (en_GB) single-speaker Piper VITS voice "alan" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.
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English (en_GB) single-speaker Piper VITS voice "alba" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.
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