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Your German sales lead can check the German. In ten minutes, not ten days.

You need someone who speaks Japanese to check the Japanese. You have someone, your Tokyo account manager, but you cannot hand a colleague 800 rows of spreadsheet and call it a review.

What that looks like today

Professional review is slow and expensive; internal review is unstructured and quietly ignored. Both are done blind, because neither reviewer can see where the words land on screen, and neither has any way to say which lines they have already looked at.

How TextSetu handles it

A draft needs a person who actually speaks the language.

  1. 01

    Reviewed in context, not in a row

    In-context screenshots attach to each line, so a reviewer sees the button, not the row.

  2. 02

    One queue, accept or reject

    One queue with accept and reject, so reviewing is a sequence of decisions rather than a document.

  3. 03

    Scored first, so attention goes where it counts

    A second AI scores the drafts first, so the person only scrutinises what looks questionable.

  4. 04

    Scoped to one language

    Permissions let a colleague review one language without touching anything else in the project.

  5. 05

    Every decision on the record

    Every decision is recorded with a name and a timestamp, so review is auditable rather than assumed.

The outcome

Every market gets a real reviewer, at no extra cost, in minutes rather than weeks.

Review queue · AI proposals
AI
checkout.placeOrder · DE
"Bestellung aufgeben"
AI
home.hero.headline · FR
"Fais-le, tout simplement"
AI
product.freeReturns · DE
"30 Tage kostenlose Rückgabe"
The outcome

Every market gets a real reviewer, at no extra cost, in minutes rather than weeks.