Multi-Character Audio Drama

Direct multi-voice scenes with ElevenLabs: distinct voice casting, turn-taking tags for interruptions, and per-line emotional direction.

Format my scene for multi-voice TTS (ElevenLabs v3 / Text to Dialogue).

The scene: [WHAT HAPPENS + THE EMOTIONAL SHAPE, e.g. "two friends argue about a betrayal; it breaks into laughter at the end"]
Characters: [FOR EACH: name + one-line voice identity, e.g. "MARA (dry, controlled, cracks under pressure" / "TOM) warm, deflects with jokes"]
My script or story to adapt:
"""
[PASTE THE SCENE, STORY PASSAGE, OR DIALOGUE DRAFT]
"""

Format the output:
1. **Casting notes**: for each character: the voice profile to pick from the voice library (age, pitch, texture, energy; e.g. "MARA: female, 30s, low-mid pitch, precise articulation, minimal warmth"). Contrast is the goal: voices close in pitch and pace blur together in audio-only scenes.
2. **The dialogue script**: speaker-labeled lines with inline direction:
   - Emotion tags before the text they color: [sad] [angry] [excited] [tired] [sarcastically], max 2 tags per line; more gets read as text.
   - Turn-taking tags where the scene needs life: [interrupting] [overlapping] [cuts in] [hesitates], an argument without interruptions sounds like a table read.
   - Reactions as their own beats: [sighs] [big laugh] [clears throat], placed on the line of the character doing it.
   - Punctuation as micro-direction: a double hyphen for cut-offs --, ellipses for trailing... CAPS for at most one stressed word per exchange.
   Example of the format:
   MARA: [flatly] You told him. After everything, you--
   TOM: [interrupting] I didn't-- okay. [sighs] Okay. I told him.
3. **Delivery arc**: 2-3 sentences on how the scene's energy moves (where it tightens, where it breaks), so I can adjust tags if a section reads flat.
4. **Production notes**: which lines to generate as one dialogue request (turn-taking tags need shared context to overlap naturally) vs. separate per-voice takes; settings: Creative or Natural mode (tag-responsive, Robust ignores them); regenerate per-exchange, not per-scene, when one line misfires.

Rules: adapt my scene without adding plot; where a line's emotion is ambiguous in my draft, choose and mark it [DIRECTION CHOICE: alternative] so I can flip it.

How to use

Multi-speaker generation with turn-taking tags is what moved AI audio from narration to actual scenes: the [interrupting]/[overlapping] tags only work when both lines are in the same generation, which is why the production notes split requests the way they do. Cast voices for contrast first, character second: listeners track voices by pitch and pace, not names. For audiobooks, keep one narrator voice and reserve the multi-voice treatment for dialogue-heavy scenes.

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