Dettivo

§ Local AI

Local AI models

Local-only

Speech-to-text runs through Whisper (via the WhisperKit engine) or Parakeet (via the FluidAudio engine), pick per task. Enhanced polish runs through our own bespoke MLX model, fine-tuned for cleaning spoken input rather than general chat; meeting analysis runs through bundled MLX too. Advanced users can point Dettivo at compatible local MLX folders or cached Hugging Face MLX repos.

Who this is for

Anyone who wants to run Dettivo fully offline, anyone evaluating which local models do the work, and anyone trying alternative MLX models beyond the curated set.

Where local models are used

Dictation STT

Whisper tiers (via WhisperKit) and Parakeet (via FluidAudio), downloadable in Settings › Models. Pick the speed/accuracy tradeoff per task.

Dictation polish (Enhanced)

Our bespoke MLX polish model, fine-tuned for cleaning up spoken input, not a general-purpose chat model. Local rewrite without leaving your Mac.

Meeting analysis

Bundled MLX analysis model. Summaries, action items, decisions, all on-device.

Speaker diarization

Downloadable diarization model. Runs after meeting stops.

Advanced local model sources

Settings › AI Processing › Advanced Local MLX

Source picker
Curated (recommended), Local folder, or Hugging Face MLX ID.
Local folder path
A local MLX-format model directory you have prepared.
Hugging Face owner/name
Pulls a cached MLX repo. Validate before Download.
Validate / Download / Load Test
Three actions to confirm the model is usable before live runs.
Reset to Recommended
Bails back to the curated default if a custom model misbehaves.
§ Related

Just launched

Just launched on your Mac.

One-time license, three active Macs, lifetime updates. $45 once, forever yours.