Lara adapts in real time from approved translations, terminology, and instructions to deliver stable, predictable, context-aware translation quality across 200+ languages.

The most reliable translation AI
errors per 1000 words
Closest in quality to top professional translators
latency
Suited for real-time translation across large-scale workloads
languages supported
Reach over 80% of the world’s population
Engineered to unlock
the latent demand for translation
Translated’s purpose-built AI model delivers predictable quality by working within full context and collaborating with language professionals where precision matters.
Trained on professional translation data
Lara is trained on high-quality professional translations and expert review, not scraped or generic text. This foundation enables stronger meaning preservation, consistent terminology, and reliable output across over 200 languages, including those where generic AI systems struggle most.


Designed for production speed
Lara delivers fluent, accurate translations with near-instant responsiveness, making it suitable for real production use cases like product launches, support content, and high-volume workflows, without trading quality for speed.
Continuous training and improvement
Every approved translation feeds back into Lara in real time, strengthening terminology, style, and consistency. Instead of resetting with every job, quality compounds over time as the system adapts to your content and decisions.


Working together with translators
Through TranslationOS, enterprises work directly with vetted language experts who focus on meaning, tone, and intent. Their role is not post-editing noise, but shaping quality, protecting brand voice, and guiding improvement at scale.
Seamless connection with any workflow
Lara is embedded in TranslationOS. Teams can automate content intake from their existing systems and manage quality, assets, and delivery through a single operational layer.
Working with Lara
From localization managers to every employee, Lara allows everyone to understand and be understood in their own language.
For localization teams
Run AI-driven localization as a governed operation. Use service types to match workflows to content risk, keep terminology consistent with shared assets, and track progress, quality signals, and spend in one place. As approvals accumulate, Lara adapts and editing effort drops over time.


For product
and engineering
Integrate Lara through TranslationOS for governance and visibility, or use the Lara SDK when ultra-low latency or high-volume throughput demands it. Keep translation behavior stable by anchoring output to approved translations and shared assets, not ad hoc prompting.
For professional translators
Professional translators use Lara daily in Matecat, Translated’s open-source CAT tool. Enterprise teams can also access Lara through Matecat and major CAT environments where human review is required, including Trados Studio and memoQ, as well as platforms like Crowdin and Phrase.

Our clients
We proudly serve over 380,000 clients worldwide, including young innovative startups and large global enterprises across a wide range of industries. We have optimized our processes to meet their unique needs, adapting from small, on-demand tasks to high-touch, fully managed solutions.












