
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:
Related reading: AI short video tools comparison, Bulk Create YouTube Shorts with AI, Cost Calculator. Pricing changes—verify live pages. See the Earnings Disclaimer.
| Item | Notes |
|---|---|
| Script draft tool | ChatGPT or Claude (free or paid seat) |
| TTS | ElevenLabs account (start Free; upgrade only if you hit limits) |
| Optional editor | Descript (text-based edit) or CapCut (timeline + captions) |
| Time | ~45–60 minutes for the first end-to-end pass |
Write three lines before any prompting:
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.
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 verifyThen human-edit:
Checkpoint: Read aloud once. If you stumble, the VO will stumble.
List every risky token:
| Term | Say as | Notes |
|---|---|---|
| Product name | … | Avoid letter-by-letter unless required |
| Acronym | … | Decide “N eight N” vs “N-eight-N” |
| Name / city | … | Prefer respell over hoping the model guesses |
Feed the sheet into the TTS prompt or paste respellings inline (n-eight-n, kay-oo).
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.
Do not keep regenerating the whole script blindly.
Document what fixed it—your future self will reuse the respell list.
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.
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.
Before anything goes public or into a course LMS:
Job: 60s internal note explaining how your team uses the Cost Calculator before buying seats.
This keeps the practice educational and low risk.
| Failure | Cause | Fix |
|---|---|---|
| Credits gone in a day | Regenerating full scripts | Patch sentences; shorten draft |
| Captions wrong on brands | Auto caption dictionaries | Manual replace list |
| “Legal sounding” VO that is wrong | Unverified claims in script | Claim list in Step 2 |
| Uncanny voice clone | Bad consent / quality sample | Prefer stock voices until process is solid |
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.