Translation & Localization
AI Multilingual Content Engine
Produces original content in several languages from one plan.
Translation & Localization
AI Localization QA
Already-translated content checked for accuracy, consistency and cultural fit before it ever reaches your audience.
A translation can be technically correct and still embarrass you, with a wrong product term, a broken layout or a phrase that reads badly to locals. AI Localization QA reviews content that has already been translated, checking accuracy against the source, glossary consistency, layout and cultural fit. Problems come back flagged for your reviewer. Nothing is published without that check.
- Translation errors caught before content reaches customers
- Glossary terms checked for consistency on every page
- Cultural-fit issues flagged for a native-language reviewer
$2,400
20–30 working days
Optional maintenance $249/mo
What it is
AI Localization QA is a build that reviews content that's already been translated or localized, checking it for accuracy, glossary consistency, layout issues and cultural fit before it publishes, catching problems a translator or another tool missed. Findings come back flagged for a reviewer you name.
Why businesses buy it
Translation mistakes are cheap to fix before publishing and expensive afterward, in lost trust, support tickets and pages that need to be redone. Yet few teams can read every language they publish in, so errors slip through unseen. After this build, every batch of translated content is checked against the source, your glossary and local norms, and only flagged items need a person. The Scope Card sets the language pair, checks and destination in writing before you order, so you know exactly what is reviewed.
Problems this solves
Translated content goes live with errors nobody caught
Localization QA reviews content that has already been translated before it publishes. It checks accuracy, glossary consistency, layout issues and cultural fit, catching problems a translator or another tool missed.
Different translators use different terms for the same thing
Every piece is checked against your glossary and brand profile. Inconsistent terms are flagged so your reviewer can correct them before customers ever see them.
Text overflows buttons or breaks layouts in another language
Layout issues are part of the check, alongside wording. Findings come back flagged for a reviewer you name, delivered to one destination such as an inbox.
A good fit if
You already have translated or localized content, from any source, and want it checked before it goes live.
You've had issues with translation quality slipping through before, and want a consistent review gate in place.
You have a glossary of terms and a style guide the review should be checked against, not a general proofread.
You want QA findings delivered to one destination, such as a report or a flagged version in your CMS or drive.
Not the right fit if
Your content hasn't been translated yet. See AI Translation Agent, which produces the translation this build would then check.
You need a whole website localized from scratch, not an existing translation reviewed. See AI Website Localization.
You need ongoing content produced across languages, not a review of content that already exists. See AI Multilingual Content Engine.
You want original content written for a region rather than existing content checked. See AI Regional Content Agent.
How it works
- You send the already-translated or localized content, along with the source it was translated from, for comparison.
- Accuracy is checked against the source, flagging mistranslations, omissions or meaning that drifted from the original.
- Your glossary and style guide are checked for consistency, catching cases where a term was translated differently across the content.
- Layout and formatting issues are flagged, such as text that overflows a template or breaks in the target language.
- A cultural fit review checks for phrasing or references that are technically correct but would land wrong with local readers.
- Findings are delivered to your one connected destination as a report or flagged content, with 25 sample reviews completed before launch.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Your brand guidelines and tone-of-voice examples, so the review checks against the standard you actually want.
- Ten to twenty pieces of translated content you already consider good, used to calibrate what a pass looks like.
- Access to the one destination the QA findings are delivered through, such as your CMS, store or drive.
- The glossary and style guide the review should check consistency against.
- The name of the person who reviews and approves flagged findings during testing.
- Admin access and API keys for the connected destination, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake, and one decision-maker who can sign off at launch.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, glossary and style guide confirmed.
Weeks 1–2
Accuracy, consistency and cultural fit checks built and tuned against your standard.
Week 3
Destination system connected and the findings pipeline configured.
Weeks 3–4
25 sample reviews completed and sent for your review.
Week 4
Your feedback applied across two rounds of changes.
Go-live
Live, recorded handoff session, 30 days of support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $2,400 |
| Express | 15–25 working days | $2,900 |
| Rush | 10–20 working days | $3,350 |
What you receive at handover
- AI Localization QA configured with one review pipeline delivering findings to one destination
- Checks for accuracy, glossary consistency, layout issues and cultural fit
- Findings flagged for your named reviewer (fixes are made by your team or translator)
- A test report of 25 sample outputs reviewed and approved by you
- An admin guide and a recorded 45-minute handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can catch translation problems before customers do.
- Helps keep terms consistent across translators and tools.
- Gives reviewers a focused list instead of rereading everything.
- Issues found before publishing
- Count findings per batch from the QA output and track the trend.
- Issues reported after publishing
- Count customer or staff reports of translation errors per quarter, before and after launch.
- Review time per piece
- Time a sample of manual reviews before launch and compare with time spent on flagged findings after.
Before you start: Count translation errors reported after publishing in the last quarter. Time how long a manual review of one piece takes.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running Localization QA afterward costs roughly $20 to $150 a month in your own accounts, mostly AI model usage, and it scales with how much translated content you send through for review each month.
AI usage during the build and testing is billed to your own accounts too, so the provider relationship is yours, not ours.
Ask about running costsCustom requirements
Need a second language pair reviewed, a second destination system, or more output formats than the Scope Card lists? Add a note at checkout and you get a written Change Quote, only starting once you accept it. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
For this build we recommend monthly maintenance, covering monitoring, fixes, and monthly change hours, enough to adjust the glossary or style guide the review checks against. Maintenance starts once the 30 days of support end and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A QA proofreading tool charges per word or per seat every month | A review agency quotes per project after a scoping call | Ours is one fixed price, shown on this page before you buy |
| Scope | A QA tool is a checker you still configure and run yourself | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| What gets checked | A QA tool usually checks spelling and grammar, not cultural fit | An agency build depends on who is staffed to review it | Ours checks accuracy, glossary consistency, layout and cultural fit together |
| Delivery | A QA tool is live once you finish setup yourself | An agency usually takes several weeks to staff and start | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
How much does AI Localization QA cost?
The fixed price for each delivery speed is shown in the price and delivery panel on this page before you order. It covers everything on the Scope Card: glossary and style checks, cultural-fit review for one language pair, delivery of findings to one destination and the sample reviews you check before the process goes live.
Does AI Localization QA translate content, or only check it?
It only checks. Content that has already been translated or localized is compared against the source for accuracy and against your glossary for consistency, with layout and cultural fit reviewed too. It does not produce new translations. If you need content translated in the first place, AI Translation Agent is built for that job.
What does AI Localization QA cost to run each month?
Roughly $20 to $150 a month in your own accounts, mostly AI model usage that scales with how much translated content you send through for review. You pay providers directly, so there's no markup from us. Occasional review batches sit toward the bottom of that range, high volume toward the top.
What does AI Localization QA actually check for?
Four things: accuracy against the original source, glossary and terminology consistency, layout or formatting issues in the target language, and cultural fit, meaning phrasing that's technically correct but reads wrong to local readers. Findings come back as a report or flagged content, whichever destination you choose during intake.
Can we review content in a second language pair later?
Yes. The standard build covers one language pair, and a second is quoted as a Change Quote once you are ready to add it. We suggest setting up the review process for your highest-volume language first, confirming the findings match your own standard, then expanding to further language pairs.
How is this different from AI Multilingual Content Engine?
AI Localization QA reviews content that already exists, checking it before it publishes. AI Multilingual Content Engine produces ongoing new content across languages. The two fit together well: the Engine produces content, and QA acts as the gate that catches issues before anything goes live to your audience.
What do we need to provide before AI Localization QA can launch?
Your brand guidelines, ten to twenty pieces of translated content you already consider good, your glossary and style guide, and access to the destination the findings are delivered through. We also need the name of the person reviewing flagged findings and admin access shared by adding our team as a user or creating a key you control, never sent by email.
Can I cancel the maintenance for AI Localization QA?
Yes, any month. Maintenance starts after the 30 days of post-launch support end and runs month to month with no cancellation fee. It includes monitoring, fixes and monthly change hours, and unused hours in a given month don't carry over to the next one.
Catch a bad translation before your audience does.
Order AI Localization QA and it checks translated content for accuracy and cultural fit on a fixed delivery date. The scope above is what you get, in writing, before you pay.
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