What is Lara? | Knowledge Base

Lara is Translated's proprietary context-aware translation AI that delivers high-quality first-pass translations and improves continuously from human feedback, in real-time.

It supports 200 languages, covering 80% of the world's population by supporting the official languages of the countries where they live. In every language, Lara understands context, applies instructions, uses terminology, and adapts to approved translations, to offer unparalleled scalability.

What Value Does Lara Deliver?

Lara helps enterprise teams transition to an AI-enabled localization strategy while consistently preserving meaning, tone of voice, and terminology with confidence.

Why Should I Care Right Now?

Enterprises want AI acceleration without losing control, with consistent terminology, context handling, and adaptive learning built in. Lara Think improves quality even further with advanced reasoning.

What Problem Does Lara Solve?

Static MT is slow to improve. LLM-based MT is unpredictable and drifts in tone, meaning, and terminology. Both require heavy editing.

Lara solves this by combining context-aware generation with real-time adaptation based on approved translations, synchronized TMs, and glossary rules.

Relationship to TranslationOS

Lara accelerates. Humans elevate. TranslationOS orchestrates.

Lara is the AI engine while TranslationOS is the operational layer that governs how, when, and where Lara is applied. Lara works inside governed TranslationOS workflows, ensuring visibility into quality, terminology, assets, spend, and performance.

Key Benefits

Benefit	Description
Real-time Learning	Human accepted translations improve Lara AI in real time. Higher first-pass acceptance, lower edit effort, shorter cycles.
Higher Quality	40% higher human-evaluated scores. 50-60% fewer errors. Up to 76% improvement in low-resource languages.
Enterprise Governance	Predictable outcomes. Controlled AI deployment. Suitable for enterprise requirements through TranslationOS.
On-brand Quality at Scale	Lara keeps terminology and context consistent. Expert translators protect meaning and tone.
Flexible Integration	TranslationOS API for full governance. Lara SDK for ultra-low latency or high-volume use cases.
Global Coverage	200 languages fully supported. Coverage of 99.7% of the world population. Strong performance in emerging markets.

Lara Features

Feature	Description	Customer Benefit
200 Supported Languages	Full contextual translation, terminology handling, instructions, and adaptation across 200 languages	Global expansion without sacrificing quality
Adaptive AI Training	Approved translations continuously train Lara in real-time on brand voice and terminology	Compounding quality improvement over time
Lara Think	Advanced extension delivering 40% higher quality, 50-60% fewer errors	Higher accuracy and faster cycles for production environments
Custom Instructions	Accepts custom instructions (tone, formality, domain, audience) applied consistently across languages	More control over brand expression and voice at scale

How Is Lara Different from LLM-based MT?

LLM MT (like GPT, Claude, Gemini) can be powerful but unpredictable. It drifts in terminology, tone, and meaning because it is not anchored in your assets. Lara uses context, TMs, glossaries, instructions, and approvals to generate stable, controlled translations. In addition, Lara is a proprietary model focused on translation and trained with quality translation data.

Key Differentiator

Unlike generic AI, Lara continuously learns YOUR terminology, YOUR style guide, YOUR brand voice. Every approved translation makes Lara better for your specific content.