Skip to content
VVoiceScribe LABThe ideaShare your interest
CONCEPT PREVIEW · NOT AVAILABLE YET

Your course changed.
Your subtitles shouldn’t
start from zero.

You already perfected the captions. We’re exploring a way to preserve that work, find what changed, and review only the translations that need attention.

For training teams, course studios, and localization partners.
Research only. No upload, payment, or launch date.

REVISION REVIEWIllustrative example
Customer onboarding

Lesson 02 · v1 → v2

EN → ES
00:12 → 00:18 Keep reviewed text

Welcome to your workspace.

Same wording. New position in the video.
00:34 → 00:40Meaning changed

Your trial lasts 14 days 7 days.

Spanish translation needs review
You approve changes before export.

A proposed workflow, not a working tool or a measured result.

A small video edit shouldn’t mean…

Comparing every line againOverwriting human editsGuessing which translations changed
THE WORKFLOW WE’RE EXPLORING

Keep the good work.
Review the difference.

Not another blank-slate transcription. A revision workflow built around the captions your team has already reviewed.

01

Start with the work you trust

The proposed input: your previous video, reviewed SRT or VTT subtitles, and the updated video. Existing translations would be optional.

02

Review what actually changed

The goal: distinguish moved, added, removed, and changed content. Uncertain matches should stay visible for a person to check.

03

Carry your languages forward

Keep approved work where it still fits, flag affected translations, and export reviewed subtitles. You stay in control of the final wording.

IS THIS YOUR WORKFLOW?

Made for the second version.
And the one after that.

This concept is for people maintaining existing courses — especially when human-reviewed subtitles and several languages make every update more work.

  • You already have a subtitled training video.
  • Your content changes more than once.
  • You want to preserve editorial decisions.
  • You can review changes before publishing.
HELP DECIDE WHAT WE BUILD

Would this solve
a real update for you?

We’re validating demand before building. Tell us about your workflow with four quick choices. No name, email, or course files are collected by this form.

This is not a working subtitle updater. There is no payment, reserved place, or promised delivery date. We may invite interested teams to discuss a pilot.

Your fixed-choice answers may be sent to our analytics to evaluate this concept. Please don’t share confidential course materials. Privacy policy.

A little about your workflow

About 30 seconds · All four choices required

Research scenario: one video update, up to 20 minutes, source subtitles plus one target language. Not a confirmed offer or charge.

This does not register you or subscribe you to emails.

A FEW IMPORTANT DETAILS

Before you raise your hand.

Can I use this feature today?

No. This is an early concept, not a functioning updater. The example above is illustrative. Your interest helps us decide whether to build and which workflows to prioritize.

What would happen to my reviewed subtitles?

The intended workflow would preserve matching reviewed content and flag changed or uncertain segments. That behavior still needs to be built and tested. You would review changes before using the output.

Will it translate or approve changes automatically?

We’re exploring translation suggestions and review flags, not unattended publishing. AI can miss meaning changes, so important numbers, terminology, and instructions would need human verification.

Am I signing up for a paid plan?

No. The $49 question is a pricing experiment, not a payment or confirmed offer. There is no checkout. Emailing us starts a conversation, not a subscription.

What if I only need a transcript right now?

Use our existing video transcription tool. This research page does not change your current VoiceScribe tools or account.

Make your next revision
a little less repetitive.

If this is a problem you already have, we’d like to hear about it.

Tell us about your workflow