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Running Daisy fully offline

Daisy can run entirely on your own machine: transcription with bundled whisper.cpp and summaries through a local model server. With both set up, no audio or text leaves your computer.

Set up local transcription

  1. Go to Settings and open the Providers section.
  2. Scroll to Local Whisper (offline).
  3. Under Download a model, choose a size and select Download. The model is saved to your profile, and Daisy stays usable while it downloads.
  4. Back in Settings → Behavior, set Default transcription provider to whisper_local.

Available sizes range from tiny through base, small, medium, and large. Smaller models are faster and use less memory; larger ones are more accurate. The .en variants are English-only and slightly faster than their multilingual counterparts.

If you already have a model file on disk, you can skip the download and use …or set a model path manually instead, pointing at the .bin file.

Set up local summaries

  1. Run a local server such as Ollama or LM Studio, both of which expose an OpenAI-compatible endpoint.
  2. In Settings → Providers, configure LM Studio or Ollama under Summarization by entering its Base URL (for example, http://localhost:11434/v1 for Ollama). No API key is needed.
  3. In Settings → Behavior, set Default summary provider to that local server.

Good to know

  • Offline transcription is semi-live: the transcript arrives in chunks of roughly 15 seconds. Word-by-word live transcription requires Deepgram, which is a cloud provider.
  • Local providers are keyless. Daisy checks that the server is reachable rather than verifying any credential.