The Phrase Localization Platform is a unique, AI-powered language platform that integrates translation, scoring, and automation tools in one place for businesses and language service providers. It offers scalability, a vendor-neutral approach, and advanced analytics for performance optimization. Ready-to-use with access to all of its key products, it facilitates easy start-up and rapid scaling.
With single sign-on (SSO) and an intuitive interface, Phrase provides a user-friendly, centralized ecosystem. The Phrase Localization Platform includes:
Phrase Translation Management System (Phrase TMS) Translation project management with industry-grade CAT tools
Phrase Strings Developer-friendly tool for software, games, and website copy localization
Phrase Orchestrator No-code, customizable workflows that automate your manual processes
Phrase Analytics Insightful data to optimize your cost, quality, and speed
Phrase Language AI Fast and secure machine translation tailored to your terminology
Phrase Custom AI AI powered machine translation, leveraging your own content
Phrase Portal Secure, immediate, and intuitive access to advanced localization technology
Phrase Quality Technologies Scores and checks to guarantee your content consistently meets quality standards
Integrations 50+ integrations with plug-and-play approach for rapid deployment
Phrase is recommended for software developers, product managers, localization teams, and businesses involved in international markets or seeking growth through multilingual product offerings. It is particularly useful for companies with complex project requirements and those in need of seamless integration with their existing tools and platforms.
Based on our record, Django should be more popular than Phrase. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / 10 months ago
Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / over 2 years ago
This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so I’d recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 3 years ago
The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: almost 3 years ago
Im teaching myself to build a backend SaaS. Can you build it just as fast as with RoR and gems? Is it all on the documentation on djangoproject.com? Just learning how to use it atm, any good tutorials as well? Source: almost 3 years ago
According to this article from Phrase, software localization is a process in software development that aims to adapt a web or mobile app to the culture and language of users in a target market. - Source: dev.to / over 1 year ago
There are also backends / SaaS tools that offers some of the management for the translations, for example: https://phrase.com/ or https://locize.com/. Source: over 3 years ago
I’ve used https://phrase.com/. Was cool because it offered a nice API for automation of downloading translation updates. Source: over 3 years ago
You can give a try to formatjs that now includes react-intl or react-intl-universal by Alibaba. If you are looking for a ready to be consumed solution instead, I would suggest phrase.com. Source: about 4 years ago
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