Build a creator-prepared pronunciation notes checklist with fictional or generic terms, not unsupported provider pronunciation features.
The specific creator task
When you hand a script to any text-to-speech system, the engine will guess at every unfamiliar name, acronym, invented term, or technical word. Those guesses are often wrong and can change the meaning of a sentence. The specific creator task is to scan your script before generation and mark every token that a generic voice model is likely to mispronounce. Write a plain-text pronunciation note next to each one using a simple respelling or a familiar rhyme. Do not rely on any provider-specific phoneme tags, SSML, or proprietary pronunciation dictionaries; those features are not confirmed in the current RavenCut workflow and they lock you into a single vendor. Instead, build a portable checklist you can reuse across any narration tool.
An original worked example
This is a hypothetical video-planning example, not a tested customer result.
Before
"In today's episode we explore the Klyntar API, the Vexillum protocol, and the founder Dr. Aris Thorne. The Klyntar SDK ships with a built-in Quorvex engine."
After
"In today's episode we explore the Klyntar (CLIN-tar) API, the Vexillum (vek-SIL-um) protocol, and the founder Dr. Aris Thorne (THORN). The Klyntar (CLIN-tar) SDK ships with a built-in Quorvex (KOR-veks) engine."
The creator added inline respellings in parentheses for every invented or ambiguous term. Each respelling uses only ASCII characters and stresses the syllable that carries the primary accent. No SSML, phoneme alphabets, or vendor-specific tags were used. This makes the notes portable to any narration engine and keeps the script readable for human reviewers.
A practical checklist
Use the following reusable checks each time you prepare a script for narration:
- [ ] List every proper name (people, places, brands, fictional entities) that is not a common dictionary word.
- [ ] List every acronym or initialism that could be read as a word or spelled out (e.g., "API" → "A-P-I" or "AY-pee").
- [ ] List every invented or domain-specific term (protocol names, engine names, framework names, coinages).
- [ ] List every technical term with ambiguous stress (e.g., "cache" → "cash" vs. "cash-ay").
- [ ] Write a simple respelling for each item using capital letters for the stressed syllable (e.g., "Quorvex" → "KOR-veks").
- [ ] Verify each respelling by reading it aloud yourself; adjust until it sounds unambiguous.
- [ ] Insert the respelling in parentheses immediately after the term in the script.
- [ ] Keep a master glossary file so repeated terms stay consistent across episodes.
Use RavenCut with creator control
Scene review before rendering and uploading to a connected YouTube channel are selectable workflow options.
The workflow supports 9:16 Shorts and 16:9 long-form videos; free accounts are limited to Shorts.
Boundaries and next step
The worked example above is hypothetical and illustrative; it was not produced or measured with any live narration engine. Creator judgment is required: you decide which terms need notes, you choose the respelling convention, and you verify the final audio after rendering. No earnings, ranking, or quality guarantees are implied. Prepare an original idea or your own notes and review the resulting video.