1.Beingpax / VoiceInk
The best open-source alternative to Superwhisper & Wispr Flow. Voice-to-text app for macOS with no subscription
Ranked by Attention Score: stars gained over the last 90 complete days
17 repositories by Attention Score · Aug 6, 2026 – Nov 3, 2026 (UTC)
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.
macOS dictation app
Local speech-to-text for macOS on-device AI, fully private, optional cloud
Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
Local-first macOS app to browse, search, analyze, and resume supported AI coding-agent session history across Codex, Claude Code, OpenCode, Cursor Agent, Antigravity, Hermes, OpenClaw, Copilot CLI, and more.
Copy any text on your screen, stop retyping.
It falls out of your notch. Hotkey, repo, Return: your terminal opens with Claude Code, Codex or any agent already running. Free, MIT, local-only macOS.
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
The Swift machine learning library.
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Fast and simple OCR library written in Swift
Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
Scan the MRZ code of a passport and extract the firstname, lastname, passport number, nationality, date of birth, expiration date and personal numer.
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