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What is Standard AI/MT and Pro AI?

Learn what’s included in Standard AI/MT and Pro AI in Lokalise, how they differ, and when to use each for your translation workflows.

Written by Ilya Krukowski

As part of the updated price plans, Lokalise now includes two tiers of AI and machine translation: Standard AI/MT and Pro AI. These options are designed to support different types of content, translation quality requirements, and workflow complexity — from simple machine translation to advanced, context-aware automation.

In this article, we’ll explain what’s included in Standard AI/MT and Pro AI, key differences, and when to use each.

Standard AI/MT

Standard AI/MT gives you access to essential machine translation systems:

  • Google Translate

  • DeepL

This option is built for speed and scale, where fast output is more important than tone or nuance. It’s a good fit when you need reliable machine translation without context-aware AI features.

Key characteristics:

  • Manual engine selection

  • No context awareness — translations don’t consider key descriptions, glossaries, or other localization metadata

  • No automatic model routing or built-in quality scoring during translation. Existing translations can be evaluated separately using AI Scoring

  • Designed for straightforward machine translation without Pro AI's additional context features

Best for:

  • Internal documentation

  • Low-traffic web pages

  • Repetitive or formulaic content

  • Teams focused on efficiency and budget


Pro AI

Pro AI is Lokalise’s advanced AI solution — built for teams that care about translation quality, brand voice, and automation. It expands on Standard AI/MT by adding intelligent features, advanced routing, and quality assurance.

What’s included:

  • Access to language models from three families: GPT, Claude, and Gemini

  • Automated routing — Lokalise selects a suitable model based on the content and language pair

  • Context awareness — Pro AI can use key descriptions, glossaries, style guides, and task instructions

  • AI-powered quality scoring — evaluate translations on a 0–100 scale using the Multidimensional Quality Metrics (MQM) framework. Scoring is available on demand in the editor or for eligible Pro AI translation tasks

  • Quality-based review routing — configure workflows to send translations with low AI scores for human review

  • Human-in-the-loop workflows — optionally include human reviewers for high-risk content

  • Custom AI profiles — use translation memory or existing project translations as additional context to improve consistency with your terminology and style

Best for:

  • Product UI, marketing copy, and high-visibility content

  • Teams focused on tone, terminology, and brand fidelity

  • Workflows requiring automated quality feedback

  • Mature localization setups aiming to balance automation with accuracy

Pro AI combines context-aware translation, automation, and quality assessment tools to help teams maintain consistent terminology and style while identifying translations that may need human review.


Quotas and usage

AI translation operations can consume both processed words and an AI-specific allowance.

  • Standard AI/MT translations can consume processed words. Depending on your plan, a separate Standard AI/MT character allowance may also apply.

  • Pro AI translations consume your Pro AI translated words allowance and can also consume processed words when they create or update countable translation content.

Some AI-powered features have different usage rules. For example, AI LQA consumes Pro AI translated words but does not consume processed words because it evaluates existing translations without creating or modifying them.

For details on quota calculation and usage, see:

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