Decision and verification worksheet
Creator Lane | Reviewed October 24, 2026
https://creatorlanehq.com/blog/bilingual-captions-vs-translated-subtitles

BILINGUAL CAPTIONS VS TRANSLATED SUBTITLES FOR MIXED-LANGUAGE VIDEOS
Original Creator Lane decision worksheet | 2026-10-24

TASK
Audience / project:
Required outcome:
Current workflow and its specific limitation:
Options actually available without a new purchase:
Source material and permission:

DECISION QUESTIONS
When should the original language mixture be preserved?
Your evidence / answer:
Unresolved detail / owner:

When should a full translation be created?
Your evidence / answer:
Unresolved detail / owner:

Should two languages appear simultaneously?
Your evidence / answer:
Unresolved detail / owner:

How do you evaluate a mixed-language recognizer?
Your evidence / answer:
Unresolved detail / owner:

What should the handoff name make clear?
Your evidence / answer:
Unresolved detail / owner:


PRACTICE BRIEF
Take a 20-second Hindi-English explanation you are allowed to use. Create one transcript preserving the spoken mixture and one English translation. Ask a fluent reviewer to check meaning and a phone viewer to check readability. Choose the format for the intended audience rather than declaring one universally better.

ACCEPTANCE CHECKS
[ ] Define transcription versus translation
Evidence:
[ ] Agree on spelling and script
Evidence:
[ ] Review with a fluent speaker
Evidence:

RESULT LOG
Option / exact version / account or interface:
Date / source URLs checked:
Input / settings / output version:
What was actually tested (leave blank if not tested):
Accepted results / failures / correction time:
Actual charges, if any (do not estimate as measured):
Privacy / permissions / delivery checks:
Decision and main limitation:
Next action / owner:
Recheck trigger:

REFERENCES
W3C caption guidance: https://www.w3.org/WAI/media/av/captions/
Premiere caption translation: https://helpx.adobe.com/premiere/desktop/add-text-images/insert-captions/translate-captions.html
OpenAI Whisper repository: https://github.com/openai/whisper

You may adapt this original worksheet for personal and client work. Third-party materials retain their own licences.