# Third-party attribution: Blas Mac dictation engine

The macOS dictation feature reuses engine code adapted from **thinkur**, an
open-source macOS voice-to-text app, plus the **FluidAudio** Swift package and
**Parakeet** ASR model weights.

## thinkur (MIT)

Source: https://github.com/jyoutir/thinkur

Components adapted into Blas:
- audio capture (AVAudioEngine + Float32 resampler)
- global hotkey (Carbon RegisterEventHotKey + Fn-key fallback)
- text insertion (clipboard-and-paste with TransientType bypass)
- transcription engine protocol (`Transcribing`)
- post-processing pipeline (filler removal, smart formatting, list detection,
  capitalization, sentence boundaries) — English defaults retained, Celtic
  tuning is a separate follow-up
- recording coordinator orchestration
- floating mic indicator and waveform UI components

Components NOT brought in: meeting recorder, Deepgram cloud STT, SmartHome
integration, MCP / Claude / Cursor integration, custom text shortcuts,
per-app style preferences, Sparkle auto-updater, TelemetryDeck analytics.

License: MIT (see https://github.com/jyoutir/thinkur/blob/main/LICENSE).

## FluidAudio (Apache-2.0)

Source: https://github.com/FluidInference/FluidAudio

Provides on-device Parakeet inference and the `AsrManager` / `AsrModels` API.

## Parakeet (CC-BY-4.0, repackaged by FluidAudio under permissive terms)

Original: NVIDIA Parakeet-TDT (https://github.com/NVIDIA/NeMo).
On-device weights: distributed by FluidAudio in CoreML form.

Display attribution in the macOS app's About / Acknowledgements screen.
