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Side-by-side: what they do, what they cost, what Kai actually thinks. Pass up to 4 tools via ?tools=claude,chatgpt,gemini.
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Otter.ai
B
Ollama
S
Aider
A
TaglineMeeting transcription veteran. Cross-platform, team-friendly.Run LLMs locally. One-line install, GUI optional.Terminal-based AI pair programmer. Git-aware, model-flexible.
CategoryMeetingsDev PlatformCoding
PricingFree + $17-$30/user/moFree + open sourceFree (open source) + whatever API you use
Best forTeams on Windows/PC. Anyone needing cross-platform coverage.Devs wanting offline/local LLMs for privacy or experimentation.Developers who want open-source tooling with full control.
Strengths
  • Joins meetings as a bot (Zoom, Meet, Teams)
  • Team sharing + search across transcripts
  • Live captioning
  • Run Llama, Mistral, Qwen, etc. on your laptop
  • Simple CLI + API
  • Hardware-aware (picks the right quant)
  • Works in any terminal
  • Auto-commits changes with meaningful messages
  • Works with any model (Claude, GPT, local)
  • Minimal learning curve
Weaknesses
  • Bot joining is intrusive
  • UX feels dated
  • Needs beefy laptop for larger models
  • Speed way behind cloud APIs
  • Terminal-only
  • Less agentic than Claude Code
  • Setup on Windows is fiddly
Kai's verdictB-tier. Granola is better UX but Otter works everywhere. Pick based on your platform.S-tier for local inference. If you care about privacy or want to tinker, install this today.A-tier. The right answer if you want open-source + terminal-native + model-agnostic.
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