Struggling to choose between Crowdin and OpenL Translate? Both products offer unique advantages, making it a tough decision.
Crowdin is a Development solution with tags like translation, localization, languages.
It boasts features such as Cloud-based translation management, Supports over 70 languages, Integrates with popular platforms like Jira, GitHub, etc, Translation Memory to reuse previous translations, Built-in proofreading tools, Collaboration features for translators, Customizable workflow and pros including Scales for large translation projects, Automates much of the localization process, Good value compared to human translation services, Integration with many tools developers already use, Large community of translators.
On the other hand, OpenL Translate is a Ai Tools & Services product tagged with open-source, machine-translation, translation-engine, language-translation, rulesbased-translation, statistical-translation.
Its standout features include Rule-based machine translation, Statistical machine translation, Customizable translation engines, Support for various language pairs, Translation memory management, Terminology management, Translation quality estimation, Web-based translation editor, REST API, and it shines with pros like Open source and free, Customizable to specific domains/language pairs, Better quality than general MT for narrow domains, On-premise deployment option, Integration with other systems via API.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Crowdin is a cloud-based localization management platform that provides professional translation services. It allows companies to translate their content into multiple languages and manage the localization process.
OpenL Translate is an open source machine translation software platform that allows users to build, deploy and manage custom translation systems. It supports creating rules-based and statistical machine translation engines for various language pairs.