Otter.ai

Build me a personal meeting transcription and search tool to replace Otter.ai. Requirements: - Python stack: whisperX (faster-whisper backend) for transcription, Flask for the UI, stdlib sqlite3 for storage. - A CLI: `otter record` captures the mic to ~/Meetings/YYYY-MM-DD-HHMM/audio.wav; `otter import file.m4a` handles recordings made elsewhere. - Transcribe locally with whisperX, word timestamps plus speaker diarization; label speakers SPEAKER_1/2 and let me rename them once per meeting. - Send the transcript to an LLM (key in .env) for a summary: 5 bullets, decisions made, action items with owners. Save transcript.md and summary.md next to the audio. - Index transcripts into SQLite FTS5; `otter search "budget"` returns matching lines with meeting date and timestamp. - A minimal page on localhost:8787: meeting list, one search box, and an ask box that answers questions over a chosen transcript via the LLM. - Everything stays on my machine except the LLM calls; no accounts, no telemetry. - Out of scope: a bot that joins Zoom/Meet calls, mobile apps, and team sharing. Diarization will be rough on crosstalk, accept it. - README: Python and ffmpeg install, model download size, and the macOS mic permission.