AI Subtitle Checklist: Check Customer Names, Numbers, and Negation First

For AI content workflow, the first decision is whether one small example can be reviewed by a person. An AI subtitle checklist needs to catch a concrete problem: a caption can read naturally while changing a customer’s name, a quantity, or a negative statement. Start by comparing a short passage of your existing video with its subtitles. Mark names, numbers, and negation before polishing the wording. Your first deliverable is a corrected passage with a record of what supports each change.

Compare: Listen to the source audio while reading the matching subtitles.
Resolve: Verify meaning-sensitive words and leave uncertain wording visibly unresolved.
Finish: Replay the corrected passage in the exported video before marking it reviewed.

What the evidence supports

This is a proposed review playbook, not a report of a completed subtitle test. The supplied facts establish the preparation date but include no recording, subtitle file, or verified correction. There is therefore no measured accuracy result to report.

The method below tells you how to create the missing receipt: a traceable correction record attached to an actual passage. It does not establish that your subtitles contain errors or that this review will catch every error.

Start where a wrong word changes the meaning

Choose a short, continuous passage from a video you already have. Prefer a passage containing a customer reference, a quantity, or a statement about what someone can or cannot do. Keep the surrounding sentence available so you can hear qualifications.

Preserve the original subtitle text before editing. That gives you something concrete to compare with the corrected version. Open the video and its matching subtitle track, then listen through the selected passage without changing anything.

On the next listen, mark the words that deserve verification:

• Names: customer names, business names, product names, and unfamiliar terms.
• Numbers: amounts, dates, quantities, percentages, and their associated units.
• Negation: words such as “not,” “never,” “without,” and contractions that reverse a statement.

Treat these marks as questions. A name that looks unusual may be correct. A familiar spelling may be wrong. The purpose of marking is to direct attention before an apparently tidy sentence persuades you to accept it.

A natural sentence is not evidence that the subtitle preserves the speaker’s meaning.

Give each correction a source

For a customer name, separate what was spoken from how it is spelled. Replay the audio to identify the spoken reference. If the spelling remains uncertain, consult an authorized source that clearly refers to the same customer, such as an approved brief or supplied name list.

Do not paste private customer records into the subtitle or public review artifact. Record only the minimum verification note needed. If the source contains information that should not be public, hold that passage for an explicit editorial decision.

For numbers, listen to the complete phrase. Verify the value together with its currency, unit, range, or qualifier. “Up to” and “at least” express different boundaries. A correct value with a missing boundary can still misrepresent the statement.

A written brief may disagree with the recording. That disagreement needs resolution; it does not authorize silently rewriting the speaker’s words. Record the conflict and hold the affected claim for clarification or a source edit.

For negation, replay the whole clause and the thought around it. In an illustrative example, “The customer approved the revision” and “The customer has not approved the revision” are both readable sentences. They describe different states. This example demonstrates the distinction; it is not an observed failure.

If the audio remains unclear, leave an uncertainty note in the working record. Do not place an editorial guess into the final caption.

Keep a correction record beside the timeline

Use the following template for each flagged phrase. Copy it into a document or a note field in your editor. Keep the original text intact so another reviewer can understand the change without reconstructing your work.

PASSAGE REVIEW

Source video:
Passage start and end:
Review date:
Reviewer:

Original subtitle:
Words heard in the audio:
Flag: name / number / negation / other
Reason for the flag:
Supporting source, if needed:
Proposed correction:
Uncertainty or source conflict:
Status: unresolved / corrected / verified

Final subtitle:
Exported playback checked:
Remaining review scope:

The distinction between corrected and verified matters. Corrected means the text was edited. Verified means you checked the edited text against the available evidence and watched the result in its final context.

For a shareable receipt, capture the relevant subtitle passage and a redacted correction note. Keep customer details out of the image unless their publication is authorized.

Suggested artifact caption: Selected subtitle passage with the original wording, reviewed correction, and verification status; private customer information removed.

Keep the original wording, the correction, and the reason together.

Use the checklist to finish the passage

Work through this checklist against your selected passage. An unchecked item is remaining work, not a reason to invent certainty.

SUBTITLE MEANING CHECKLIST

[ ] Preserve the original subtitle text.
[ ] Confirm that the subtitles match the selected video.
[ ] Listen to the passage with surrounding context.
[ ] Mark customer names and unfamiliar proper nouns.
[ ] Verify uncertain spellings against an authorized source.
[ ] Check each number with its unit and qualifier.
[ ] Check negatives, contractions, and conditional wording.
[ ] Record conflicts between speech and supporting material.
[ ] Make only corrections supported by the available evidence.
[ ] Leave unresolved wording flagged in the working record.
[ ] Read across caption breaks for changes in meaning.
[ ] Replay the corrected passage with sound.
[ ] Export and inspect the passage as viewers will see it.
[ ] Mark the reviewed scope without implying a full-video review.

During exported playback, check that the corrected text actually appears. Watch whether a caption break separates a negative from the statement it modifies, or leaves a qualifier detached from its quantity.

Then read the captions without sound as a separate readability check. This can reveal awkward breaks, but it cannot verify transcription accuracy. Return to the audio whenever a wording change could alter meaning.

The stop rule is unresolved meaning

The failure modes here are review targets, not documented test results. They include accepting a plausible name, retaining a value while dropping its unit, and smoothing a sentence until its negative disappears.

This checklist also has limits. It does not cover every accessibility requirement, speaker label, sound cue, translation issue, or timing problem. A checked passage provides evidence about that passage only. Keep the rest of the video marked as awaiting review.

Final decision: Mark the selected passage reviewed only when meaning-sensitive wording is supported, unresolved conflicts are cleared, and the exported captions have been inspected. Otherwise, hold the affected passage. A useful first result is a corrected segment with a clear receipt and an honest boundary around what remains unchecked.

Related build logs

• Your First AI Content Studio Deliverable Should Be an Approved Draft
• AI Human Review Checklist: Three Moments When a Correct Answer Still Needs You