AI Voiceover Workflow: Script to Review-Ready Audio

Step-by-step tutorial: draft a short script, generate voiceover with ElevenLabs, fix pronunciation, and optionally caption in Descript or CapCut—with a QA checklist.
Published Jul 23, 2026
AI Voiceover Workflow: Script to Review-Ready Audio
AiToMake content is for education and research. Use these examples with your own context, tool limits, and review requirements in mind.

AI Voiceover Workflow: Script to Review-Ready Audio

This tutorial builds a small, reusable script → voiceover → QA loop for product updates, training micros, and short explainers. It does not teach how to monetize a podcast or grow subscribers.

You will produce:

  1. A 60–90 second script with pronunciation notes
  2. A voiceover file from ElevenLabs (or similar TTS)
  3. A short QA checklist you can reuse weekly
  4. Optional captions via Descript or CapCut

Related reading: AI short video tools comparison, Bulk Create YouTube Shorts with AI, Cost Calculator. Pricing changes—verify live pages. See the Earnings Disclaimer.

Sources checked (July 2026)

  • ElevenLabs pricing — Free ~10k credits; Starter ~$5–6 / ~30k; Creator ~$22 / ~121k credits (credits ≈ characters on Multilingual v2 models; other models may differ)
  • Descript pricing — Free tier; Hobbyist and Creator billed per person with media hours + AI credits
  • CapCut captions as an alternative export path (see CapCut in-app tools and our Shorts tutorial)

What you need

ItemNotes
Script draft toolChatGPT or Claude (free or paid seat)
TTSElevenLabs account (start Free; upgrade only if you hit limits)
Optional editorDescript (text-based edit) or CapCut (timeline + captions)
Time~45–60 minutes for the first end-to-end pass

Step 1 — Define the job (5 min)

Write three lines before any prompting:

  • Audience: who hears this
  • Outcome: what they should understand afterward
  • Hard limit: duration (start with 60–90 seconds)

Rough word budget: ~130–160 words per minute of calm VO. A 75-second piece is about 160–200 words.

Checkpoint: If you cannot state the outcome in one sentence, do not generate audio yet.

Step 2 — Draft the script with guardrails (10 min)

Prompt pattern (adapt freely):

Write a 75-second voiceover script for [audience].
Goal: [one sentence outcome].
Constraints:
- Max 180 words
- No hype or income claims
- Every product claim must be something we can cite
- Add [pronounce: ...] notes for brand terms
Return: plain script only + a bullet list of claims to verify

Then human-edit:

  • Delete adjectives that sound like ads
  • Replace vague “best / revolutionary” claims
  • Mark numbers, dates, and pricing as “verify”

Checkpoint: Read aloud once. If you stumble, the VO will stumble.

Step 3 — Build a pronunciation sheet (5 min)

List every risky token:

TermSay asNotes
Product nameAvoid letter-by-letter unless required
AcronymDecide “N eight N” vs “N-eight-N”
Name / cityPrefer respell over hoping the model guesses

Feed the sheet into the TTS prompt or paste respellings inline (n-eight-n, kay-oo).

Step 4 — Generate voiceover in ElevenLabs (10–15 min)

  1. Pick a stock voice first (clone only with consent and clear rights).
  2. Paste the edited script.
  3. Generate and download WAV/MP3.
  4. Listen at 1× speed with headphones.

Orientation costs (verify live): Free ~10k credits; Starter ~30k; Creator ~121k. On Multilingual v2, 1 character ≈ 1 credit. Long scripts and many regenerations burn quota faster than “one take” marketing pages imply.

Checkpoint: Reject takes with wrong product names, clipped endings, or robotic stress on brand terms.

Step 5 — Repair loop (10 min)

Do not keep regenerating the whole script blindly.

  1. Isolate the bad sentence
  2. Respell the problem word
  3. Slightly slow pacing or add punctuation pauses
  4. Re-generate that section when the tool allows, or regenerate full only after two failed patches

Document what fixed it—your future self will reuse the respell list.

Step 6 — Optional captions (10–15 min)

Option A — Descript

Import audio/video, use transcript editing and dynamic captions. Descript paid plans meter media hours and AI credits (Hobbyist/Creator tiers on the pricing page). Good when you edit by deleting words in a doc.

Option B — CapCut

Import VO + B-roll, run auto captions, then fix names manually. See Bulk Create YouTube Shorts with AI for batch patterns.

Checkpoint: Spot-check every proper noun in captions.

Step 7 — Publish / archive QA checklist

Before anything goes public or into a course LMS:

  • Claims match a written source or are removed
  • No customer PII in examples
  • Pronunciation sheet archived next to the script
  • Audio peak levels not clipping
  • Captions match audio within ~1 second
  • License allows your channel (voice clone consent, music, avatar if used)
  • You know which paid meter you touched (TTS credits vs editor hours)

Example mini project (practice)

Job: 60s internal note explaining how your team uses the Cost Calculator before buying seats.

  1. Script the three steps: pick scenario → toggle paid plans → read caveats
  2. Generate VO
  3. Caption in CapCut
  4. Share internally only until QA passes

This keeps the practice educational and low risk.

Common failure modes

FailureCauseFix
Credits gone in a dayRegenerating full scriptsPatch sentences; shorten draft
Captions wrong on brandsAuto caption dictionariesManual replace list
“Legal sounding” VO that is wrongUnverified claims in scriptClaim list in Step 2
Uncanny voice cloneBad consent / quality samplePrefer stock voices until process is solid

What “done” looks like

You have a dated script file, a pronunciation sheet, one approved audio export, and a filled QA checklist. That package—not a viral post—is the reusable asset.

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AI Voiceover Workflow: Script to Review-Ready Audio