AI Prompts for ElevenLabs Prompts for YouTube Voiceovers

Act as a casting director for my YouTube channel. Niche: [NICHE: FINANCE EXPLAINERS / TRUE CRIME / TECH REVIEWS / HISTORY]. Audience: [AUDIENCE]. Describe the ideal narrator voice in casting terms: gender or neutral, age range, pace, energy, warmth versus authority, and accent. Then give me the checklist of qualities to listen for while auditioning ElevenLabs voices, and the 30-second test script that exposes each quality.

Write a 45-second audition script for testing ElevenLabs voices for my channel ([NICHE]). It must include: a hook line with energy, a calm explanatory passage, a number-heavy sentence (dates, prices, statistics), a question to the viewer, and an emotional beat. This one script reveals how a voice handles everything my real videos will throw at it.

My chosen ElevenLabs voice sounds [PROBLEM: TOO FLAT / TOO DRAMATIC / INCONSISTENT BETWEEN TAKES]. Explain the stability, similarity, and style settings in plain terms for a [CONTENT TYPE: EXPLAINER / STORYTELLING] channel, recommend starting values for my problem, and give me a 3-take test plan: same paragraph, three setting combinations, so I can hear the difference and lock my defaults.

I want every video on my channel to sound like the same narrator on the same microphone. Give me the consistency system: the ElevenLabs settings to freeze and document, the script formatting habits that keep delivery uniform, how to handle regenerating a single sentence weeks later so it matches, and the one-page voice spec I should save so I never drift.

My channel could use a second voice for [PURPOSE: QUOTES AND REENACTMENTS / A CO-HOST FEEL / CHAPTER TRANSITIONS]. Recommend how the second voice should contrast with my main narrator (register, pace, energy) without clashing, the rules for when each voice speaks, and the audition script to test candidate pairings together in one audio file.

Rewrite my YouTube script for text-to-speech delivery: [PASTE SCRIPT]. Convert written-style sentences to spoken rhythm: shorter sentences, contractions, no subclauses stacked three deep. Spell out anything ElevenLabs might misread: numbers as words where natural, acronyms with periods or phonetic spelling, URLs spoken plainly. Keep my voice and all the facts.

Mark up my script so ElevenLabs performs it instead of reading it: [PASTE SCRIPT]. Use punctuation as direction: ellipses for hesitation, dashes converted to commas or periods, question marks where I want rising energy, paragraph breaks for breathing room before big moments. Show the marked-up script and a one-line legend of what each mark does to delivery.

Write 3 opening voiceover options (first 15 seconds) for my video about [TOPIC]. Each must work as pure audio: a hook that creates a question in the viewer’s head, no throat-clearing, no channel intro. Format each for ElevenLabs with the punctuation that produces urgency without shouting. Note which thumbnail promise each opening pays off.

Map the pacing of my script ([PASTE]) for narration: mark where delivery should be brisk (setup, familiar context), where it must slow down (the key insight, numbers that matter, the twist), and where a beat of silence beats another sentence. Output the script with pacing notes I can implement through sentence length and paragraph breaks in ElevenLabs.

Scan my script for words ElevenLabs will likely mispronounce: [PASTE SCRIPT]. Flag brand names, technical terms, foreign words, and unusual proper nouns. For each, give me the phonetic respelling to use in the text, and where a respelling looks odd in captions, suggest a synonym or restructure. Output the corrected script ready to paste.

Design my weekly YouTube production pipeline around ElevenLabs narration. Steps: script ([SOURCE: I WRITE / AI-DRAFTED THEN EDITED]), voiceover generation, [VISUALS: STOCK FOOTAGE / SCREEN RECORDING / SLIDES / AI IMAGES], edit, captions from the script, thumbnail, upload. For my time budget ([HOURS/WEEK]) and target ([VIDEOS/WEEK]), give me the schedule, the order that avoids rework, and the two steps most worth batching.

My video has [NUMBER] sections: [LIST THEM]. Should I generate the voiceover as one file or per section? Recommend based on: editing flexibility, regeneration cost when one section changes, and keeping vocal energy consistent across a long script. Then give me the file naming convention and the ElevenLabs workflow for my choice.

Plan the audio mix for my narrated video: voiceover from ElevenLabs plus background music ([SOURCE / STYLE]). Give me: the loudness relationship (how far under the voice the music sits), where music should swell (intro, montage, outro) and duck (dense information), the frequency clash to avoid with my narrator’s register ([VOICE TYPE]), and a simple checklist for checking the mix on phone speakers.

Build my pre-upload QA checklist for AI-narrated videos: the listen-through method for catching mispronunciations and weird emphasis at 1x speed, the spots that fail most (numbers, names, sentence starts after paragraph breaks), how to log an error with its timestamp and fix it by regenerating only that sentence, and the final sync check between captions and regenerated audio.

I want to test [LANGUAGE] versions of my top videos. Plan the workflow: translating the script while keeping spoken rhythm (not literal translation), ElevenLabs multilingual generation with my voice settings, which of my videos to test first based on [DATA: SEARCH DEMAND / EXISTING FOREIGN TRAFFIC], and how to structure the channel or separate channel decision. Include what to measure after 5 videos.

My retention graph drops at [TIMESTAMPS]. The visuals seem fine, so audit the audio: paste the script sections at those timestamps ([PASTE]) and diagnose narration causes: monotone stretch, over-long sentences, information density without a breather, or energy mismatch with the visuals. Give me the rewritten sections formatted for better ElevenLabs delivery.

Design an A/B test to check whether my narration voice is helping or hurting: two videos of the same format, same quality bar, one with my current voice and one with [ALTERNATIVE: WARMER VOICE / FASTER PACE / DIFFERENT GENDER]. Define what to hold constant, the sample size problem with small channels, which metrics actually signal voice preference (retention curve shape, comments about the voice), and the decision rule.

Turn my narrated video ([TOPIC, PASTE SCRIPT OR SUMMARY]) into 5 Shorts scripts: each a self-contained 30-45 second segment with its own hook, using the same ElevenLabs voice for brand consistency. Mark which segments can reuse existing audio and which need fresh, punchier narration written for vertical pacing.

Advise me on AI voice disclosure for my channel: [NICHE, AUDIENCE]. Cover: platform policy requirements as of now (what YouTube requires me to declare for synthetic content), whether voluntary transparency helps or hurts in my niche, how successful AI-narrated channels handle it, and the exact wording options for my description if I disclose. I want compliant and audience-safe, not paranoid.

Run my quarterly narration review: channel data ([PASTE: RETENTION AVERAGES, TOP AND BOTTOM VIDEOS, ANY VOICE-RELATED COMMENTS]), whether my voice and settings still fit where the channel has evolved, what competitors in [NICHE] are doing with narration, and the verdict: keep, tune, or re-cast. If tuning, list the specific setting or script-style changes to test next quarter.