Video Translation Review Process for Teams

Why team reviews go wrong

When one person translates and checks a video, the process lives in their head. Add a second language, a subject expert and an approver, and the same weaknesses appear in most teams:

Feedback arrives in chat messages, email threads and margin notes, with no way to tell which comments were handled.
Two people edit two copies of the same subtitle file, and one set of changes is lost.
A misheard product name is fixed in the Spanish subtitles but stays wrong in German and Japanese, because nobody traced it back to the source transcript.
Reviewers rewrite correct sentences to their own taste, and the deadline slips with no improvement in accuracy.
The video goes live because the deadline arrived, not because anyone approved it.

A workflow fixes these with a few conventions rather than new software.

Roles, even on a small team

Name who does what, even if one person holds several roles.

Owner: Decides scope, languages and deadline, and resolves disputes. Usually the person who requested the translation.
Producer: Runs the translation jobs, keeps the files, names versions and distributes packets. The single point of truth for which file is current.
Source checker: Verifies the source-language transcript against the audio before any translation review starts.
Language reviewer: Reviews one target language for meaning, terminology and fluency. One per language.
Subject expert: Checks technical, legal, medical or product claims. Often reviews the source only, sometimes the most important target languages too.
Approver: Watches the final version and signs off. Can be the owner or a regional lead.

Finding and briefing language reviewers is its own topic, covered in finding a reviewer for AI translation. The roles matter more than the job titles: the producer and the approver should not be the same person on high-stakes content, because the person who made the files is the worst placed to see what is missing.

The review packet every reviewer receives

Send each reviewer a complete, identical packet rather than a link and a sentence. For one video and one language:

The source transcript, ideally timestamped, already corrected by the source checker.
The translated transcript and the translated subtitle file for their language.
The translated video or audio if the deliverable is a dub, so they can hear what viewers will hear.
The glossary and style guide: names, terms that stay in the original language, formality level, number and unit conventions. Creating one is covered in creating a translation style guide.
A short brief: audience, purpose, review depth, deadline and what not to change.

Review depth deserves a sentence of its own. Tell reviewers whether you want a light review (meaning, names and numbers only) or a full review (also fluency, style and register). The distinction, and how to choose, is explained in machine translation post-editing. Without it, one reviewer returns three comments and another returns ninety.

Review in stages, source first

Review flows downstream, and errors flow with it. A word misheard in the source becomes a mistranslation in every language, so the order is fixed:

Source check. Correct the source transcript against the audio: names, numbers, terms and misheard words. Freeze it. If the source changes after this point, every language must be re-checked.
Text review. Language reviewers read the translated transcript or subtitles against the corrected source and log issues.
Watch-through. Reviewers watch the subtitled or dubbed video at normal speed, because timing, reading speed and pronunciation problems are invisible in a text file. A detailed checklist for dubs is in the AI dubbing quality checklist.
Fixes. The producer applies agreed changes, or re-runs a job where the problem is upstream.
Verification. The reviewer checks that each logged issue was fixed as intended, and only those.
Sign-off. The approver watches the final version and records approval.

For a short, low-stakes video, stages 2 and 3 can be one pass. For anything public, legal or safety-related, keep them separate.

A comment format everyone uses

Every comment should be traceable to an exact moment and actionable without a follow-up question. One line per issue, in a shared spreadsheet or a table in a shared document:

Timestamp: Where in the video, such as 03:12. Add the subtitle cue number if the issue is in the SRT.
Category: Meaning, Term, Name or number, Omission, Addition, Style, Timing, Pronunciation or Audio.
Severity: Critical (misleads or harms), Major (noticeable error, wrong term), Minor (style or preference).
Current text: What the subtitle or voice says now.
Proposed fix: The exact replacement wording, not "sounds odd".
Root cause: Source transcript, translation, voice or timing, if the reviewer can tell.

The severity scale is the most useful column. It lets the owner decide whether a video can ship with open minor issues, and it stops a debate about synonyms from delaying a fix to a wrong dosage or a reversed instruction.

Version names and folders

Agree on a naming pattern before the first file is shared. A pattern that sorts well and answers "which file is this" at a glance:

project-asset_language_type_version_status, for example onboarding-02_es-MX_srt_v03_reviewed.srt.
Use language tags with regions where they matter, such as es-MX, es-ES, pt-BR and pt-PT, so regional versions never get swapped.
Keep the untouched machine output as v01 and never overwrite it. It is your baseline for comparing changes.
Increase the version number with every change, and use a status word: draft, in-review, reviewed, approved.
One folder per language, with the source in its own folder. Only the producer moves files into an approved folder.

Tracking issues across languages

The issue log is where multilingual review pays off. Add two columns to the comment sheet: languages affected and status. When a reviewer logs an issue whose root cause is the source transcript, or the glossary, the producer marks every language as affected and checks each one.

Example: one source error, three languages

Suppose a support team translates a 6-minute how-to video into Spanish, German and Japanese. The German reviewer notices the translation says customers have 15 days to return an item; the policy says 50. The producer traces it to the source transcript, where "fifty" was heard as "fifteen". Because the issue log records the root cause as source, the producer corrects the source, re-runs all three languages and asks each reviewer to verify that one line. Without the root-cause column, Spanish and Japanese would have shipped with the wrong number.

Patterns in the log also tell you what to fix permanently. If the same product term is flagged in every language, add it to the glossary. If one reviewer flags many timing issues in dubbed video, the source may be too fast for dubbing and subtitles may suit that content better.

Sign-off that means something

Define "done" per type of content before work starts. For an internal update, done might mean no open critical or major issues. For a public product launch, it might mean no open issues of any severity and an approval from the regional lead. Record who approved, which version and when, in the issue log or the file name. When a published video later turns out to contain an error, that record shows whether the error was missed, introduced later or knowingly accepted.

Mistakes that slow review down

Starting translation review before the source is frozen, so reviewers chase errors that are later fixed upstream.
Reviewing subtitles only and never watching or listening to the dubbed version.
Letting reviewers edit the master files directly instead of logging changes for the producer.
Too many reviewers per language. Two people with different preferences will disagree about style indefinitely; give one person the final say per language.
Correcting the subtitle file and assuming the voice changed too. Edited text does not alter audio that has already been generated.
No deadline for comments, so review stays open until someone loses patience.

How mydubly fits a team review

mydubly produces the machine output that enters this workflow, not the review layer around it. A transcript job gives a timestamped source transcript and one subtitle track, optionally with a translated transcript; a dubbing job adds the translated voice track and video. Each job handles one target language, so each language is a separate run, and a corrected source means re-running the affected languages.

There are no shared workspaces, comments, reviewer accounts or version history in mydubly; the shared folder and issue log are yours. Results are deleted within 30 minutes of completion, so the producer should download every file straight away and store it under the naming pattern. Re-runs are cheap in credits, at 1 credit per minute for transcripts and subtitles and 50 credits per minute for dubbing, so a 6-minute video costs 300 credits (30¢) to dub again in one language. The video localization page summarizes the outputs per job.

Next step

Pick the next video your team will translate, write down the roles, create the issue log with the columns above, and run one language through all six stages before adding the others. Adjust the process after that first pass, while the friction is still fresh. For the production steps around review, from script preparation to publishing, use the video localization checklist.

Frequently asked questions

How many reviewers should each language have?

One language reviewer with final say is usually enough, plus a subject expert for technical or regulated content. A second reviewer helps on high-stakes public material, but give one of them the deciding vote on style, or disagreements over wording will stall the release without making the translation more accurate.

Should reviewers edit the subtitle file directly?

Generally no. Reviewers should log changes in the issue log with exact proposed wording, and the producer applies them to the master file. That keeps one current version and a record of every change. Direct editing can work for a single trusted reviewer on a short video, as long as they edit the file the producer gives them and return it with a new version number.

How long should a review take?

It varies so much with content, language pair, review depth and the reviewer's experience that any fixed number would mislead. Time the first video: record minutes of review per minute of video for each language, then plan future deadlines from your own measurements. Expect full review of a dubbed video to take much longer than a light text review.

Do we need a new review after re-running a job?

Yes, but a targeted one. A re-run regenerates the translation and, for dubs, the voice, so lines that were fine before can change. Ask the reviewer to verify the lines tied to logged issues and spot-check the rest, especially names, numbers and anything previously marked critical.

What if the reviewer and the subject expert disagree?

Separate the question. The subject expert decides whether the content is correct, such as whether a term names the right thing; the language reviewer decides how to express it naturally in their language. If a disagreement remains, the owner decides and the decision goes into the glossary so it does not come up again.