Crowdin
Get quality translations for your app, website, game, supporting documentation, and on. Invite your own translation team or work with professional translation agencies within Crowdin.
Features that ensure quality translations and speed up the process
• Glossary – create a list of terms to get consistent translations
• Translation Memory (TM) – no need to translate identical strings
• Screenshots – tag source strings to get context-relevant translations
• Integrations – set up integration with GitHub, Google Play, API, CLI, Android Studio, and on
• QA checks – make sure that all the translations have the same meaning and functions as the source strings
• In-Context – proofreading within the actual web application
• Machine Translations (MT) – pre-translate via translation engine
• Reports – get insights, plan and manage the project
Crowdin supports more than 30 file formats for mobile, software, documents, subtitles, graphics and assets:
.xml, .strings, .json, .html, .xliff, .csv, .php, .resx, .yaml, .xml, .strings and on.
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LM-Kit.NET
LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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Google Cloud Translation API
Multilingualize your content and apps with machine translation that is available in thousands of languages.
The Translation API Basic Edition instantly translates your website or application texts into more than 100 different languages. The Advanced Edition offers dynamic results as quickly as Basic edition but also includes customization features. This is important when you are using phrases or terms that are unique to certain areas and contexts. The Translation API's pre-trained model supports over 100 languages, from Afrikaans through to Zulu. AutoML Translation allows you to create custom models for more than fifty languages. The Translation API glossary ensures that the content you translate is true to your brand. You only need to specify which vocabulary you would like to give priority to, and save the glossary in your translation project.
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Google Cloud Natural Language API
Leverage advanced machine learning techniques for thorough text analysis that can extract, interpret, and securely store textual data. With AutoML, you can create top-tier custom machine learning models effortlessly, without writing any code. Implement natural language understanding through the Natural Language API to enhance your applications. Utilize entity analysis to pinpoint and categorize various fields in documents, such as emails, chats, and social media interactions, followed by sentiment analysis to gauge customer feedback and derive actionable insights for product improvements and user experience. The Natural Language API, combined with speech-to-text capabilities, can also provide valuable insights from audio sources. Additionally, the Vision API enhances your capabilities with optical character recognition (OCR) for digitizing scanned documents. The Translation API further enables sentiment understanding across diverse languages. With custom entity extraction, you can identify specialized entities within your documents that may not be recognized by standard models, saving both time and resources on manual processing. Ultimately, you can train your own high-quality machine learning models to effectively classify, extract, and assess sentiment, making your analysis more targeted and efficient. This comprehensive approach ensures a robust understanding of textual and audio data, empowering businesses with deeper insights.
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