What Integrates with Google Cloud Speech-to-Text?

Find out what Google Cloud Speech-to-Text integrations exist in 2024. Learn what software and services currently integrate with Google Cloud Speech-to-Text, and sort them by reviews, cost, features, and more. Below is a list of products that Google Cloud Speech-to-Text currently integrates with:

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    Google Cloud Platform Reviews
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    Google Cloud Platform

    Google

    Free ($300 in free credits)
    54,605 Ratings
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    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.
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    Vertex AI Reviews
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    Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
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    Google Cloud BigQuery Reviews

    Google Cloud BigQuery

    Google

    $0.04 per slot hour
    1,556 Ratings
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    ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys
  • 4
    Google Kubernetes Engine (GKE) Reviews
    Advanced apps can be run on a managed Kubernetes service that is secured and managed. GKE is an enterprise-grade platform that allows containerized applications to run, including stateful and non-stateful, Linux and Windows, AI and ML and complex web apps. It also supports APIs and backend services. You can leverage industry-first features such as four-way auto scaling and no stress management. Optimize GPU/TPU provisioning, make use of integrated developer tools, and get multicluster support from SREs. Single-click clusters allow you to quickly get started. You can leverage a high-availability control plan that includes multi-zonal clusters and regional clusters. Reduce operational overhead by using auto-repair, automatic-upgrade, or release channels. Secure by default, with vulnerability scanning of container images as well as data encryption. Integrated Cloud Monitoring with infrastructure, application and Kubernetes specific views. You can speed up app development without compromising security.
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    Google Cloud Firestore Reviews
    Cloud Firestore is a cloud-native, serverless, NoSQL document database. It simplifies the process of storing, querying, and syncing data for mobile, web, IoT, and web apps on a global scale. Its client libraries allow for offline support and live synchronization, while security features and integrations to Firebase and Google Cloud Platform (GCP), accelerate the creation of truly serverless apps.
  • 6
    Google Cloud Natural Language API Reviews
    Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.
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    Google Cloud Media Translation API Reviews
    Media Translation API provides real-time speech translation directly from your audio data. The API leverages Google's machine-learning technologies and provides enhanced accuracy and simplified integration. It also gives you a wide range of features to improve your translation results. Improve user experience with low-latency streaming translation and scale quickly with straightforward internationalization. Google Cloud's speech recognition and translation technologies have been widely recognized due to their quality. This is thanks to Google's machine-learning expertise. Media Translation API brings together cutting-edge technologies. It provides state-of-the art audio translation, along with features from our Translation API and speech to text API. Translate audio data directly. Media Translation API improves accuracy by optimizing model integrations between audio and text.
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    Quickwork Reviews

    Quickwork

    Quickwork

    $20 per month
    Quickwork is used by enterprises to create simple and complex workflows. It also allows them to create and publish APIs that are secure, and to manage conversational interactions between employees, customers, and partners. This helps to provide an excellent user experience. Quickwork is an all-in one platform that provides the tools and services needed to build powerful and scalable integrations. It also offers serverless APIs and conversational experiences. Drag and drop applications to create powerful integrations. No need to write a line of code. You can choose from 1000s of apps for business, consumer, analytics, messaging and IoT. Quickwork's API Management allows you to convert any workflow into an REST API in a single click. Our serverless infrastructure allows you to scale your APIs elastically and securely. Create and manage real-time messaging and conversational workflows across multiple channels with human agents, IoT devices, and chatbots.
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    Converse Smartly Reviews
    Converse Smartly®, a powerful speech-to-text software, converts audio into text. It allows individuals and organizations to work smarter, quicker, and with greater accuracy. It can be used to analyze speech and dialogue from interviews, team meetings, conferences, and seminars. We aim to be the best online speech recognition tool. We use cutting-edge speech-recognition technology to achieve the most accurate results. Additionally, we incorporate built-in tools to improve productivity, efficiency, and comfort. For speech recognition with exceptional accuracy, render the most advanced deep-learning neural networks algorithms to the audio subject. Converse Smartly(s), Speech-to-Text accuracy improves with continuous machine learning powered through enhanced algorithms. This improves the internal speech recognition technology used in multiple products.
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