How does Lokalise Workflows work?

Lokalise Workflows utilizes automated triggers and customizable templates—ranging from simple translation-to-review sequences to advanced AI-driven and Translation Memory integrations—that allow users to schedule automated runs, define project scope, and combine steps like machine translation and human review to ensure seamless, hands-off project management.

What actions can I automate with Workflows?

Lokalise Workflows enables the automation of standard multi-step localization processes through customizable templates that integrate key actions—including translation and review tasks, translation memory utilization, and both machine and AI-driven translation—ensuring every stage of your project is executed in perfect alignment with your specific technical setup and requirements.

How many workflows can I have?

For now, workflows are only available on Pro and Enterprise plans.On Pro, you get 20 workflow templates. On Enterprise you get 50 workflow templates

Do I need engineering resources to set up workflows?

No! Unlike other workflow builders out there Lokalise Workflows is a visual, no-code workflow builder that’s very easy to use, allowing localization teams to create and customize their own processes without having to rely on developers to create custom API-driven workflows for their organization. This gives localization teams more control to define and tweak processes for efficiency maximization of their processes.

Are workflows available on my plan?

For now, workflows are only available on Pro and Enterprise plans.

AI Scoring for translation quality

Confidently ship multilingual content without reviewing every word. AI scoring evaluates translation quality, highlights risks, and guides human review where it matters most.

Try Lokalise free Book a demo

AI scoring is included from Growth plan and above in both editor, tasks and workflows.

See how AI Scoring works

3000+ teams going global with products that feel local

Why AI Scoring makes review smarter

Understand which translations are ready to publish and which need review, without checking every segment manually.

Focus human effort where it counts

AI scoring identifies segments that may contain issues so your team reviews only what needs attention.

Improve translation quality visibility

Each segment receives a clear score and explanation, making quality measurable instead of subjective.

Reduce review time and cost

Many teams find that only a fraction of content requires edits once scoring is applied.

Stay consistent across languages

Terminology, tone, and style preferences are checked automatically against your guidelines.

Focus human effort where it counts

AI scoring identifies segments that may contain issues so your team reviews only what needs attention.

Improve translation quality visibility

Each segment receives a clear score and explanation, making quality measurable instead of subjective.

Reduce review time and cost

Many teams find that only a fraction of content requires edits once scoring is applied.

Stay consistent across languages

Terminology, tone, and style preferences are checked automatically against your guidelines.

The risk of skipping translation QA

❗ Can confuse customers or damage trust

❗ May introduce legal or compliance risk

❗ Often leads to costly fixes after launch

The challenge is balancing speed, cost, and accuracy

Review everything → Slow releases, high cost 💸

Review nothing → Higher risk of errors

Manual QA only → Hard to scale 😥

Where AI scoring makes a difference

✅ Review selectively

✅ Release faster and scale

✅ Keep standards high

How AI scoring works

Built directly into workflows Lokalise’s AI translation is designed for real production environments, not standalone analysis. Works in sync with our other AI features for a holistic AI orchestration experience ✨

1. Content is translated

Translations can come from AI, human linguists, or both

2. AI evaluates each segment

The system checks meaning accuracy, grammar, terminology, tone, and formatting using structured quality criteria (based in an industry-standard framework).

3. A score is assigned

Each translation receives a score from 0 to 100 plus a short explanation of any detected issues.

4. Only risky segments are flagged

You choose a threshold. Content below it is routed for human review.

5. Reviewers resolve issues faster

They see exactly what needs attention and why.

AI translation scoring you can trust

90%
of the time human reviewers tend to agree on translation quality. AI scoring is designed to align with that benchmark.
80% cost savings
Teams using scoring often review only about 20-30% of content because the rest passes quality checks. This means reduction of review costs.
MQM-framework
Built on structured quality methodology rather than vague AI judgments, scores include reasoning, which helps teams trust results and make faster decisions.

"If you are looking to use a single tool that is cloud-based, has a modern UI, supports automation via API calls and webhooks, Lokalise is your tool."

Tyler Brown

Software Development Manager

Cost of review

Common use cases

Product localization

Ship UI text quickly while catching issues like character limits or broken layout strings

Marketing campaigns

Maintain brand tone and terminology across markets without manually reviewing every asset.

Knowledge bases

Scale multilingual documentation while keeping accuracy consistent.

Legal or regulated content

Flag high-risk translations automatically so reviewers can prioritize compliance-sensitive content.

High-volume releases

Run scoring continuously in automated workflows to keep up with frequent updates.

Webinar replay: Translation quality, quantified

Learn how automatic translation scoring, powered by Al, removes the need for 80% of review tasks.

Catch up now

FAQs

What is AI translation scoring?

AI translation scoring is an automated quality evaluation that analyzes translated text and assigns a score based on accuracy, terminology, grammar, tone, and formatting.

How accurate is AI scoring compared to human review?

AI scoring is designed to approximate human evaluation standards. It reliably detects major issues such as meaning changes or missing content, and it highlights smaller improvements for reviewer consideration.

Can I control which translations get reviewed?

Yes. You set a score threshold. Any translation below that level is automatically routed for human review.

Does scoring work with human translators?

Yes. You can score translations created by linguists to validate quality or provide feedback.

What types of issues can it detect?

It can flag problems such as incorrect meaning, glossary violations, tone mismatches, grammar issues, and formatting constraints like character limits.

Will scoring replace human reviewers?

No. It helps reviewers focus on segments that need attention so they spend time where it adds the most value.

Can scoring adapt to our brand voice?

Yes. When you provide glossaries, style guides, or past translations, scoring uses that context to evaluate quality against your preferences.

From “Review everything” to “Review what matters”

Run AI scoring on your content and instantly identify what’s ready to publish.

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Global Growth & Strategy·Localization Best Practices

What is linguistic quality assurance (LQA) and how to create a process

Poor translations = bad user experience, brand erosion, costly/embarrassing mistakes, and potential legal issues. This is why linguistic quality assurance (LQA) is so important. It’s a system of processes that ensures your translated content is error-free. But what does an LQA process look like and how do you create one? What tools can you use to facilitate this process? Before we continue, let’s explain what LQA is and why it matters.<

Updated on February 4, 2026·Valentyna Kozlova

A piece of content being received differently by two different cultures.

Localization Best Practices

Translation quality assurance: Key components, best practices, and how-tos

Your app just launched in Germany. Within hours, users report broken buttons, confusing messages, and a support ticket backlog growing by the minute. Turns out, your translations were technically accurate, but no one tested the design inconsistencies and functional errors. This is a translation quality assurance problem. Poor TQA can cost you more than embarrassment. Broken localized experiences can create an overwhelmingly negative brand perception, increase the press

Updated on December 4, 2024·Rachel Wolff

Localization Best Practices

How to check the quality of localized content

Poor localization leads to a bad user experience, brand erosion, costly and embarrassing mistakes, and potential legal issues. Deprioritizing localization quality = deprioritizing customer experience. This should be the message you get across to other stakeholders when talking about the importance of localization quality assurance (LQA). Before explaining the best practices and how to do LQA to improve the quality of localized content, let’s

Updated on October 22, 2024·Rachel Wolff

Case studies

Behind the scenes of localization with one of Europe’s leading digital health providers

AI Scoring for translation quality

Why AI Scoring makes review smarter

Focus human effort where it counts

Improve translation quality visibility

Reduce review time and cost

Stay consistent across languages

Focus human effort where it counts

Improve translation quality visibility

Reduce review time and cost

Stay consistent across languages

The risk of skipping translation QA

The challenge is balancing speed, cost, and accuracy

Where AI scoring makes a difference

How AI scoring works

1. Content is translated

2. AI evaluates each segment

3. A score is assigned

4. Only risky segments are flagged

5. Reviewers resolve issues faster

Points system (MQM-based)

AI translation scoring you can trust

90%

80% cost savings

MQM-framework

"If you are looking to use a single tool that is cloud-based, has a modern UI, supports automation via API calls and webhooks, Lokalise is your tool."

Cost of review

Common use cases

Product localization

Marketing campaigns

Knowledge bases

Legal or regulated content

High-volume releases

Webinar replay: Translation quality, quantified

FAQs

From “Review everything” to “Review what matters”

Related blogs

What is linguistic quality assurance (LQA) and how to create a process

Translation quality assurance: Key components, best practices, and how-tos

How to check the quality of localized content

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