P+PETENGCREATOR UTILITY OS Open TTSHub

+ TEXT TO SPEECH WORKFLOW

How to create captions from a text-to-speech voiceover.

The source script helps with spelling, but caption timing should still come from the voiceover on the final timeline.

Open TTSHub

01 / PLAN

Start with the result and the source

TTS text may include phonetic spellings that sound correct but look wrong on screen. Keep a clean display script and use it to correct the automatic transcript without losing the speech-derived timing.

Write for listening rather than silent reading. Short sentences, deliberate punctuation, and a quick pronunciation test usually improve a voiceover more than an extreme speed adjustment.

02 / WORKFLOW

Complete the workflow step by step

  1. Prepare.

    Finish the TTS audio edit and place every narration section at its final PeteCut timeline position.

  2. Set up.

    Run Auto captions using the timeline source and choose the spoken language.

  3. Create.

    Compare generated captions with the clean display script, correcting names, punctuation, numbers, and phonetic substitutions.

  4. Review.

    Split dense lines, protect safe areas, and watch the full project muted before export.

03 / QUALITY CHECK

Review the result before the next step

Listen from beginning to end with headphones. Check names, numbers, pauses, volume, and whether the delivery still communicates the intended meaning.

Final checklist
  • Captions begin with the spoken phrase.
  • Display text uses normal spelling.
  • Lines are short enough to scan.
  • Text stays readable on the target screen.

04 / QUESTIONS

Common question

Why transcribe text that already exists?

Transcription aligns caption segments with the audio as it is actually placed and spoken on the timeline; the script is then useful for correcting the words.

Can I update this workflow later?

Yes. Save the source and project details, then update the relevant settings, content, or output when the destination requirements change.

Ready when you are.

Put this workflow into practice.

Open TTSHub