linnet/docs/index.md

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Linnet

Real-time voice transcription with tone annotation for calls, appointments, and difficult conversations. Linnet labels not just what is being said, but how it is being said — giving neurodivergent (ND) users a way to track tonal subtext without spending cognitive bandwidth decoding social register in real time.

Features

  • Real-time transcription — local Whisper inference; no audio leaves your machine
  • Tone annotation — each speech segment is labeled with its emotional and social register (Apologetic, Stressed, Enthusiastically agreeing, Passive-aggressively complying, and more)
  • Elcor mode — bracketed tone-prefix format that makes register explicit inline with transcript text
  • Speaker diarization — distinguishes speakers in multi-participant calls
  • Session history — browse, search, and export past sessions; everything stays local
  • Translation — via DeepL; BYOK (bring your own key) on Free tier, CF-managed key on Paid tier
  • Corrections — inline widget to fix transcript errors; corrections retrain your local model over time
  • Meeting notes export — structured export of transcript plus tone timeline for post-call review
  • Embeddable widget — overlay architecture designed to sit on top of video call windows

Tiers

Feature Free Paid
Local transcription (Whisper) Yes Yes
Tone annotation (local SER) Yes Yes
Elcor mode Yes Yes
Speaker diarization Yes Yes
Session history (30 days) Yes Yes
Session history (unlimited) No Yes
Corrections + local model retraining Yes Yes
Meeting notes export Yes Yes
Embeddable widget Yes Yes
Translation (BYOK DeepL key) Yes Yes
Translation (CF-managed DeepL key) No Yes

SER = speech emotion recognition. BYOK = bring your own key.