Google Cloud Translation API Integrations

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Descope is a CIAM platform meant for developers and IT teams. Customers can easily create frictionless and secure user journey flows for each user interaction using our no-code workflow builder and SDKs. Descope allows developers to spend more time working on core app projects by abstracting the details of authentication methods, session management, and risk management. Our platform makes it easy to manage users, tenants, RBAC, SCIM provisioning, and identity federation without any hassle. Customers use Descope to enhance user experience with passwordless authentication, improve security with risk-based MFA, and centralize user identities across all business-facing apps.

PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.

To integrate faster, join the growing community Martini(tm-using integration ninjas). Gloop takes out the tedious work of creating and managing services for data and application integration, building APIs, or managing data. Gloop makes it simple to perform common development tasks like mapping and transforming data and iterating over arrays, executing switch-case logic and invoking external codes, running jobs in parallel and many other tasks. Flux is Martini’s event-based workflow engine that manages asynchronous workflows as well as event-based triggers for Gloop microservices. Flux allows you to invoke Gloop microservices in a sequence, passing the output from one to the next, or in parallel. Flux will keep track of each execution. Flux workflows can be created visually by dragging Flux state onto a canvas, and then selecting the Gloop microservice to execute when the state is invoked.

You can find more qualified candidates faster than you thought possible. Make use of machine learning and big data to fill your recruitment pipeline with people you want to hire. RecruitBot works with both public and private data companies to create and maintain the largest global candidate database. You'll find thousands of qualified candidates whether you're looking to hire software developers in San Francisco, or payroll specialists in Mumbai. We have 350 million U.S. applicants in our system. Other companies will only give you a bunch of unsorted resumes that don't match your search criteria and then expect you to sort them all. RecruitBot's machine-learning algorithm understands your preferences and prioritizes candidates you want to reach out.

gTTS (Google Text-to-Speech) is a Python library and CLI to interface with Google Translate’s text-to-speech API. For further audio manipulation or to write spoken mp3 data to files, you can use bytestring (file-like object) or stdout. You can also pre-generate Google Translate request URLs to feed an external program. A speech-specific sentence tokenizer that can be customized to allow for unlimited text lengths, while maintaining proper intonation, abbreviations and decimals. You can also make pronunciation corrections with custom-designed text pre-processors.

AutoML Translation allows you to create custom translation models to answer your translation queries. This will return results that are specific to your domain. AutoML Translation pricing is determined by the amount of training required (measured as hours) and the number of characters that you send to be translated. Dynamically detects and translates between languages. Integrated REST and gRPC APIs. Supports 50 languages. Translate with custom models. Cloud AutoML allows developers with limited machine-learning expertise to create high-quality models that are tailored to their business needs. In minutes, you can create your own machine learning model. Imagine that you are the owner of a financial reporting service. There is potential to expand your business to other countries. Your urgent financial documents must be translated quickly in these markets. AutoML Translation is a tool that automates translations. It is scalable and can be used to quickly access new markets.