1.supertone-oss-archive / supertonicArchived
Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
- cpp
- csharp
- go
- ios
- java
- lightweight
- +14 more
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15 repositories by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
macOS dictation app
The best open-source alternative to Superwhisper & Wispr Flow. Voice-to-text app for macOS with no subscription
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Local speech-to-text for macOS on-device AI, fully private, optional cloud
Copy any text on your screen, stop retyping.
The Swift machine learning library.
Fast and simple OCR library written in Swift
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!
Scan the MRZ code of a passport and extract the firstname, lastname, passport number, nationality, date of birth, expiration date and personal numer.
Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.
Using Machine Learning to predict the type of exercise from movement data
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
CoreML Project that predicts the most likely next chord based on the entered Chord Progression. This project is based on the following AI Model project and article https://medium.com/@huanlui/chordsuggester-i-3a1261d4ea9e