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CLAUDE.md

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+# Transcribe Tool
+
+Audio transcription CLI using OpenAI Whisper with speaker diarization.
+
+## Quick Reference
+
+```bash
+# Basic transcription (SRT output)
+./transcribe audio.mp3 -o output.srt
+
+# With speaker diarization
+./transcribe audio.mp3 --diarize -o output.srt
+
+# Specify model and speakers
+./transcribe audio.mp3 --model small --diarize -s 2 -o output.srt
+
+# Print to stdout
+./transcribe audio.mp3 --no-write
+```
+
+## Flags
+
+| Flag | Short | Description | Default |
+|------|-------|-------------|---------|
+| `--output` | `-o` | Output file path | **required** |
+| `--format` | `-f` | `srt`, `text`, `json` | `srt` |
+| `--model` | `-m` | `tiny`, `base`, `small`, `medium`, `large`, `turbo` | `tiny` |
+| `--diarize` | | Enable speaker detection | off |
+| `--speakers` | `-s` | Number of speakers (0=auto) | `0` |
+| `--no-write` | | Print to stdout instead of file | off |
+
+## Common Tasks
+
+**Transcribe a meeting recording:**
+```bash
+./transcribe meeting.wav --model small -o meeting.srt
+```
+
+**Transcribe interview with 2 speakers:**
+```bash
+./transcribe interview.mp3 --model small --diarize -s 2 -o interview.srt
+```
+
+**Get JSON output for processing:**
+```bash
+./transcribe audio.mp3 --format json -o output.json
+```
+
+**Quick preview (stdout):**
+```bash
+./transcribe audio.mp3 --no-write
+```
+
+## Output Formats
+
+**SRT (default):** Subtitle format with timestamps
+```
+1
+00:00:00,000 --> 00:00:05,200
+[Speaker 1] Hello, how are you?
+```
+
+**Text:** Plain text with timestamps
+```
+[00:00.0 - 00:05.2] [Speaker 1] Hello, how are you?
+```
+
+**JSON:** Full metadata including segments, words, duration
+
+## Models
+
+- `tiny` - Fastest, use for quick drafts
+- `small` - Good balance of speed/accuracy
+- `medium` - Better accuracy, slower
+- `large` - Best accuracy, slowest
+
+## Supported Formats
+
+MP3, WAV, FLAC, M4A, OGG, OPUS
+
+## Build
+
+```bash
+cd /home/yeho/Documents/tools/transcribe
+go build -o transcribe
+```
+
+## Dependencies
+
+```bash
+pip install openai-whisper                      # Required
+pip install resemblyzer scikit-learn librosa    # For diarization
+```