Rocky a227309059 fix: feed DictationTranscriber Int16 PCM, not Float32
The keyboard preview crashed on first record with a
`__abort_with_payload` deep inside Speech's
`DictationTranscriber`. The disassembly surfaced three
preconditions checked before a `brk #0x1`:

  +620  "Audio sample data must be 16-bit signed integers"
  +848  "Multi-channel audio is not supported"
  +1072 "Client info not fully initialized"

We hit the first one. `DictationTranscriber` (iOS 26's new
`SpeechAnalyzer`-backed engine) is strict about its input
format: only Int16 PCM, not the Float32 PCM that the iOS 18
`SFSpeechRecognizer` path accepted. Our audio-tap and
`AudioBufferSnapshot.samples: [Float]` are Float32 all the
way down — that was the SFSpeech shape, and the previous
`AppleSpeechASR` adapted internally. With iOS 26 as the
deployment target, the only ASR backend is
`SpeechAnalyzerASR`, and the conversion needed to happen at
the `AnalyzerInput` boundary.

Fix:
- `transcribe` builds the `AVAudioFormat` as
  `.pcmFormatInt16, 16 kHz, 1 ch, interleaved: true` (the
  canonical layout for Int16 Speech input).
- `makeInputStream` runs the per-sample conversion
  `Int16(round(clamp(s * 32767, -32768, 32767)))` into the
  `AVAudioPCMBuffer`'s `int16ChannelData[0]`. The explicit
  clip is required (a `s == 1.5` from a gain-overflow at the
  audio-engine boundary would otherwise wrap to a negative
  Int16 after the implicit truncation). `round()` (not
  truncate) preserves DC balance — `0.5` quantises to
  `+16384`, not `+16383`, matching what audio DAWs expect.
- The conversion helper is exposed as
  `ASRServiceFactory.convertFloat32ToInt16` so unit tests
  can lock the math without instantiating the full pipeline.

Why not change `AudioBufferSnapshot` to `[Int16]` instead
(see earlier first-principles discussion): the snapshot is a
transport format that both `AudioCaptureService` (in the
ext) and `PreviewASRController` (in the main app) produce.
Float32 is the natural shape coming out of `AVAudioEngine`,
and pushing the conversion to the ASR service keeps the
transport contract platform-agnostic — a future second
backend with different format needs can have its own
adaptation without dragging everyone else.

Tests:
- `testFloat32ToInt16EdgeCases` — 0, ±1, ±0.5, ±1.5
  (gain-overflow case).
- `testFloat32ToInt16RoundTrip` — quantisation step is
  1/32767 (so the asymmetric Int16 range is honoured: -32768
  has no exact Float source).
- `testFloat32ToInt16Empty` — `sourceCount == 0` with nil
  pointers is a no-op (function guards on count before
  dereferencing).
- All 25 tests pass (22 existing + 3 new).
- BUILD SUCCEEDED.

🤖 Generated with Claude Code
2026-06-18 20:41:12 +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 SFSpeechRecognizer on iOS 18/19; iOS 26+ SpeechAnalyzer planned for the next release). 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 18/19 SFSpeechRecognizer; iOS 26+ SpeechAnalyzer + DictationTranscriber planned)
  • ✍️ 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

Build & run

git clone https://github.com/hkgood/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/
├── OSGKeyboard/                 # Main iOS app (settings, onboarding)
│   ├── Views/                   # SwiftUI screens
│   ├── OSGKeyboardApp.swift     # @main entry
│   ├── PrivacyInfo.xcprivacy    # Required privacy manifest
│   └── OSGKeyboard.entitlements # App Group declaration
├── OSGKeyboardExt/              # 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
├── OSGKeyboardShared/           # Framework shared by app + extension
│   ├── Models/                  # ProviderConfig, LLMRequest, LLMProvider
│   ├── Services/                # LLMClient (OpenAI-compatible)
│   └── Constants/               # AppGroup identifier
├── OSGKeyboardTests/            # 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 OSGKeyboardShared/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 18/19 ships with SFSpeechRecognizer for on-device ASR. iOS 26+ SpeechAnalyzer is planned for the next release — it is significantly faster and supports more locales.
  • iOS 26+ users in v0.1.1 use the iOS 18 SFSpeechRecognizer path; the iOS 26 SpeechAnalyzer is planned for 0.2.0.

License

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


Acknowledgements


Note: the project is published at hkgood/OSGKeyboard; badges and git clone URLs already point there.

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