ModelFront docs

How to use the ModelFront console and API


Running evaluations in the console is an easy way to get risk predictions for a dataset.


You can just upload a file to predict post-editing effort, evaluate and compare engines or just play with the API with no coding.

Read console docs →


Hitting the ModelFront API directly gets you instant segment-level risk predictions.


You can integrate ModelFront into your translation management system or other applications.

Read API docs →

Getting started

To access the console and get an API key, create an account. Then you're ready to run evaluations in the console and hit our REST API directly.


For most scenarios, we recommend a custom model that's trained on your data.

To get a custom model, please contact us.

Engine integrations

For your convenience, both the console and the API have an option to get translations from major machine translation APIs, like Google, Microsoft, ModernMT and DeepL.

You can always include your own translations from any source.


ModelFront is built to support any language pair and any target locale.

We use high-scale open data and our own curated data in both our default generic model, and custom models are built on that.

The benefits of open data are greatest for those languages with a sizable open corpus.

Albanian, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bosnian, Bulgarian, Burmese, Catalan, Cebuano, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kazakh, Kyrgyz, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Mongolian, Nepali, Norwegian, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tajik, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Uzbek, Vietnamese, Welsh, Yoruba, ...

Read more about languages and locales at

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