Voiceover

Voice-overs — generating narration with the TTS tools

Use the tts-mcp tools to produce narrated voice-over audio (video narration, explainers, promos). Synthesis runs on the platform's configured TTS provider (Cartesia, ElevenLabs, …) — you pick the voice and delivery per call.

Workflow: find the voice first, then produce

1. Browse what's available: list_voices shows the provider's catalog with voice ids and preview links. The per-language defaults configured by the admin also work with no voice_id at all.
2. Search the library for a style (providers with a shared library, e.g. ElevenLabs): search_voice_library(search="warm documentary narrator", language="en") — describe the style, filter by language/gender/age. Library voices need a one-time add_library_voice (admin-only) before use.
3. Audition with short samples: generate one representative sentence with 2-3 candidate voices (generate_speech(text=…, voice_id=…)) — the inline players let the user compare and pick. Never narrate a full script with an unauditioned voice.
4. Produce the final segments with the winning voice: one generate_speech call per scene/paragraph, with descriptive save_path names (projects/promo/vo-01-intro.wav, vo-02-features.wav, …).

Model choice (ElevenLabs providers)

• eleven_v3 — maximum expressiveness for hero narration; supports inline audio tags in the text like [whispers], [sighs], [excited].
• eleven_multilingual_v2 — most consistent for long-form reads.
• eleven_flash_v2_5 (typical configured default) — fast + cheap, good for auditioning; switch up for the final render.
• Cartesia providers: leave model_id alone (the configured Sonic model is already the right one).

Delivery settings

• stability low (0.3-0.4) = more emotional range; high (0.7+) = steady corporate read. speed 0.9-1.1 covers most needs.
• Write for the ear: spell out numbers/abbreviations you want pronounced, add commas where a breath belongs. Short sentences read better.

Handing off to video

Output is WAV (24 kHz mono by default) — video tools consume it directly and convert/mux as needed (AAC/MP3 conversion happens there, not here). Per-scene segments beat one long file: they align to cuts, and a re-record replaces one scene instead of the whole narration.

Costs are real (per character, recorded platform-side): audition with short samples, not full scripts, and reuse generated segments instead of regenerating them.