Voice-over

uv run scripts/generate_voice.py P                         # all segments; unchanged ones are skipped
uv run scripts/generate_voice.py P --only 03-method,07-results
uv run scripts/generate_voice.py P --force                 # regenerate all
uv run scripts/generate_voice.py P --audition Charon,Puck,Kore,Fenrir --only 01-title   # -> audio/audition/
uv run scripts/generate_voice.py P --provider say          # free offline draft (macOS)
uv run scripts/generate_voice.py P --provider silent       # silence of estimated length, for timing only

Output: P/audio/<id>.wav (24 kHz mono) and <id>.json (text hash, voice, duration, similarity). A clip is regenerated automatically when its text, voice, model, style or provider changes.

Providers (tts.provider in narration.json, or --provider)

provider	needs	notes
openrouter	OPENROUTER_API_KEY in .env	default; model google/gemini-3.1-flash-tts-preview, voices such as Charon, Puck, Kore, Fenrir, Aoede
gemini	GEMINI_API_KEY	Google AI Studio directly; same voices
say	macOS	robotic but free; good for timing drafts
silent	nothing	~2.6 words/s of silence

.env is looked up in the project folder, the current folder, then the repo root. Never print or commit keys.

Pace and style

tts.style is a natural-language instruction prepended to every text. Gemini TTS follows it and does not speak it; other models may read it aloud, and the transcription check will catch that. Per-segment overrides: {"id": "...", "text": "...", "tts": {"voice": "Puck"}}.

Verification

With verify.model set and an OpenRouter key, each clip is transcribed back and compared word for word with the script; below min_similarity it retries up to retries times and keeps the best take. Clips still below the threshold are listed under NEEDS ATTENTION with what was heard. Fixes: rephrase the sentence, spell a term the way it sounds, or split long sentences. Rewording usually works best. Listen to flagged clips before accepting them.

Voice-over on an existing video

Either add a narration segment to narration.json and reference its id from a clip item in timeline.json ("narration": "<id>", see the video-editing skill), or do it directly:

uv run scripts/videotools.py dub in.mp4 P/audio/04-demo.wav out.mp4 --offset 1.0 --duck 0.2

The original audio drops to --duck (0.2 = 20 %) while the voice speaks; the last frame is held if the voice outlasts the video (--no-extend to cut instead).