rocky 07067ca6c5 feat: initial release v0.1.0
- Custom Keyboard Extension with push-to-talk UI
- iOS 26 SpeechAnalyzer + DictationTranscriber (iOS 18 SF fallback)
- OpenAI-compatible LLM client (4 built-in providers + custom)
- 3-page onboarding flow + provider config UI
- App Group shared storage for cross-process config
- 8s LLM timeout with raw-transcript fallback
- App Store privacy manifests for both targets
- SwiftLint + XcodeGen + GitHub Actions CI
- Unit tests (4/4 passing)
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00
2026-06-17 23:08:58 +08:00

OSGKeyboard

Hold a key, speak, release — AI-polished text appears at your cursor in any app. An open-source, custom-keyboard-based voice input tool for iOS 18+, inspired by Typeless and OpenLess.

Platform Swift License CI

中文 README


What is it?

OSGKeyboard is a free, open alternative to commercial voice-input tools. It runs as a Custom Keyboard Extension on iOS, so you can use it in any app — Messages, Notes, Mail, ChatGPT, Claude, Cursor, you name it.

  1. Press and hold the mic key
  2. Speak naturally
  3. Release — the AI polishes your words into clean text and inserts it at the cursor

The audio stays on-device (transcribed by Apple's on-device SpeechAnalyzer on iOS 26+, or SFSpeechRecognizer on iOS 18/19). Only the polished transcript is sent to your chosen cloud LLM. No audio ever leaves your phone.


Features

  • 🎙 Push-to-talk with a Typeless-style circular mic button
  • 🧠 On-device ASR (iOS 26 SpeechAnalyzer + DictationTranscriber; iOS 18 SFSpeechRecognizer fallback)
  • ✍️ AI polishing — adds structure, punctuation, fixes grammar, optionally produces lists
  • 🔌 Bring-your-own API — works with any OpenAI-compatible endpoint (OpenAI, DeepSeek, Qwen DashScope, your own self-hosted server, …)
  • 🔒 Privacy first — audio never leaves your device; transcripts only sent to the LLM you choose
  • 🎨 Native SwiftUI — dark theme, frosted glass, ~2000 lines of Swift
  • 🪶 Zero dependencies — no SwiftPM packages, no CocoaPods, no Carthage

Quick start

Requirements

  • macOS with Xcode 16+ (Xcode 26 recommended)
  • iPhone running iOS 18.0+ (iOS 26+ for the best on-device ASR)
  • XcodeGen: brew install xcodegen
  • An OpenAI-compatible API key (e.g. from OpenAI, DeepSeek, or Qwen DashScope)

Build & run

git clone https://github.com/<OWNER>/OSGKeyboard.git
cd OSGKeyboard
xcodegen generate          # produces OSGKeyboard.xcodeproj
open OSGKeyboard.xcodeproj # or build via CLI:
xcodebuild -project OSGKeyboard.xcodeproj -scheme OSGKeyboard \
  -destination 'generic/platform=iOS Simulator' build

Enable the keyboard in iOS

  1. Run the app on your device or simulator.
  2. Follow the 3-step onboarding: enable the keyboard in iOS Settings, then allow Full Access (required for the mic and LLM calls), then paste your API key.
  3. In any text field, tap 🌐 to switch to OSGKeyboard.
  4. Press and hold the mic, speak, release.

"Allow Full Access" is required. Without it, iOS blocks the keyboard from using the microphone and from making network requests. We never log, store, or transmit your keystrokes — see PrivacyInfo.xcprivacy.


Architecture

OSGKeyboard/
├── OpenLess/                    # Main iOS app (settings, onboarding)
│   ├── Views/                   # SwiftUI screens
│   ├── OSGKeyboardApp.swift     # @main entry
│   ├── PrivacyInfo.xcprivacy    # Required privacy manifest
│   └── OpenLess.entitlements    # App Group declaration
├── OpenLessKeyboard/            # Custom Keyboard Extension
│   ├── KeyboardViewController.swift   # Principal class
│   ├── Services/
│   │   ├── AudioCaptureService.swift  # AVAudioEngine → 16 kHz PCM
│   │   ├── ASRService.swift           # iOS 26 + iOS 18 ASR
│   │   └── PolishingService.swift     # LLM call with timeout
│   └── Views/                   # RecordButton, Waveform, KeyboardRootView
├── OpenLessShared/              # Framework shared by app + extension
│   ├── Models/                  # ProviderConfig, LLMRequest, LLMProvider
│   ├── Services/                # LLMClient (OpenAI-compatible)
│   └── Constants/               # AppGroup identifier
├── OpenLessTests/               # XCTest unit tests
├── project.yml                  # XcodeGen project definition
└── .github/workflows/ci.yml     # Lint + build CI

Data flow

[Long-press mic] → AudioCaptureService → AudioBufferSnapshot (16 kHz mono)
                                          ↓
                                  ASRService.transcribe()
                                          ↓
                                ASREvent.final(rawTranscript)
                                          ↓
                              PolishingService.polish()
                                          ↓
                            LLMClient (OpenAI-compatible)
                                          ↓
                          textDocumentProxy.insertText(polished)

Adding a new LLM provider

Open OpenLessShared/Models/LLMProvider.swift and append a new LLMProvider to the presets array. The default OpenAICompatibleClient handles any endpoint that speaks the POST /chat/completions protocol.

LLMProvider(
    id: "groq",
    name: "Groq",
    defaultBaseURL: "https://api.groq.com/openai/v1",
    defaultModel: "llama-3.1-70b-versatile",
    apiKeyURL: URL(string: "https://console.groq.com/keys")
)

That's it. No other code changes required.


Limitations

  • iOS sandboxes keyboard extensions: ~60 MB memory cap, Full Access required.
  • The keyboard does not work in password fields or some WKWebView textareas (iOS limitation).
  • iOS 18 uses SFSpeechRecognizer instead of SpeechAnalyzer; on iOS 26, SpeechAnalyzer is significantly faster and supports more locales.

License

MIT — use it, fork it, ship it. No warranty.


Acknowledgements


Note: replace <OWNER> in badges and the git clone URL with your GitHub username.

S
Description
No description provided
Readme 57 MiB
Languages
Swift 93.7%
Python 4.6%
Shell 0.8%
HTML 0.5%
Objective-C++ 0.3%