AI Meeting Notes App in 2026: faster-whisper (25k Stars) + WhisperX Local Pipeline - Free Transcription with Speaker Labels

Stop paying for Otter.ai. faster-whisper (24,747 stars) transcribes meetings locally, WhisperX (23,436) adds speaker diarization, and an LLM writes the summary and action items - $0 per month.

💡 What You Will Learn

Stop paying for Otter.ai. faster-whisper (24,747 stars) transcribes meetings locally, WhisperX (23,436) adds speaker diarization, and an LLM writes the summary and action items - $0 per month.

## The short answer A free local meeting-notes pipeline: **faster-whisper** (24,747 stars, MIT) transcribes audio 4x faster than original Whisper, **WhisperX** (23,436 stars, BSD-2) adds word-level timestamps and speaker diarization, and any LLM converts the transcript into minutes, decisions and action items. Everything runs on your laptop. ## The pipeline ```bash pip install faster-whisper openai-whisper # for the CLI ``` **Step 1 - Transcribe with faster-whisper** ```python from faster_whisper import WhisperModel model = WhisperModel("medium", device="cuda", compute_type="float16") segments, info = model.transcribe("meeting.m4a", language="en") text = "".join(s.text for s in segments) ``` **Step 2 - Add speaker labels with WhisperX** ```python import whisperx model = whisperx.load_model("medium", device="cuda") audio = whisperx.load_audio("meeting.m4a") result = model.transcribe(audio) diarize = whisperx.DiarizationPipeline().assign(speaker_labels=result["segments"]) ``` **Step 3 - Generate the minutes with an LLM** ```python prompt = ("From this transcript write: 1) summary 2) decisions 3) action items " "with owners. Transcript: " + transcript) ``` ## What you get - Speaker-labeled transcript with timestamps - 200-word executive summary - Decisions list - Action items with owners (the LLM infers from "I will...", "you should...") ## Real numbers - A 60-minute meeting transcribes in ~10-15 min on a consumer GPU, ~30-40 min on CPU. - faster-whisper uses CTranslate2 - 4x faster than Whisper (106,660 stars) with same accuracy. - Paid tools charge $10-25/month; this stack costs $0 plus your laptop's electricity. ## FAQ **Q: How accurate is speaker diarization?** A: Good for 2-6 speakers in clean audio; degrades with crosstalk or poor mics. Use a boundary microphone for best results. **Q: Can it handle Chinese meetings?** A: Yes - Whisper supports 90+ languages including Chinese; set `language="zh"`. **Q: What about virtual meeting audio?** A: Use a virtual audio cable or the meeting app's "record audio only" export - any audio file works.