DeepL provides translation for text and files. LingoHub manages the localization workflow around translation, connecting your terminology, QA, product content, and repos. DeepL can be used as a translation engine inside LingoHub.
4.6
User rating
4.6
User rating
4.5
User rating
2026
Best customer support
){kind=icon}
Keep your product language connected
Manage terminology, approved translations, QA, and product content across releases instead of treating each translation as a separate task.
){kind=icon}
Use the translation engine you need
Choose DeepL or other available AI and machine translation engines while keeping the localization workflow in LingoHub.
){kind=icon}
Connect translation to development
Sync product strings with your repositories and run QA before localized files return to your development workflow.
DeepL
Built for translation
Translate text and files with DeepL's language models, glossaries, TM, and writing tools.
For translating text and documents
For direct machine translation
For terminology through glossaries
For individual and team translation work
For API-based translation
LingoHub
Built around the localization workflow
Manage the product language, context, quality rules, and workflows surrounding translation.
For software, apps, websites, and product content
For repository-based localization
For glossary, translation memory, style guide, and QA
For Figma, CMS, support, and development workflows
For managing translation across releases
){kind=icon}
Translation is part of a release process
Keep source files, translations, reviews, and QA connected as product content changes.
){kind=icon}
Several teams work with the same language
Give development, product, marketing, and localization teams access to the same terminology and approved translations.
){kind=icon}
You need more than one translation engine
Use DeepL alongside other AI and machine translation options without rebuilding the localization workflow around a single provider.
Keep terminology, translations, QA, and product files connected from one release to the next.
“LingoHub makes localizing content easy. I love how user-friendly and straightforward it is. The translation memory and machine translation suggestions accelerate my daily work significantly without compromising quality, keeping projects consistent throughout.”
Silvia L.
Technical Translator, Investment Tech
This FAQ compares LingoHub and DeepL across translation, localization workflows, terminology, integrations, and product content.
What is the difference between LingoHub and DeepL?
DeepL focuses on translating text and files. LingoHub manages the broader product localization workflow, including terminology, translation memory, style guidance, QA, product content, integrations, and release workflows.
Can I use DeepL with LingoHub?
Yes. DeepL is available as a machine translation engine in LingoHub, allowing teams to use DeepL while managing their localization workflow, context, and quality processes in LingoHub.
Can DeepL manage software localization workflows?
DeepL can translate text and files and provides an API for integrating translation into other applications. LingoHub provides the surrounding localization workflow for software and product teams, including repository integrations, file synchronization, review, QA, and release workflows.
Can LingoHub translate documents like DeepL?
Yes. LingoHub supports document translation alongside software, mobile apps, websites, design, CMS, and support content.
