Derive insights from unstructured text using Google machine learning.
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Get insightful text analysis with machine learning that extracts, analyzes, and stores text
Apply natural language understanding (NLU) to apps with Natural Language API
Benefits
Insights from customers
Use entity analysis to find and label fields within a document—including emails, chat, and social media—and then sentiment analysis to understand customer opinions to find actionable product and UX insights.
Multimedia and multilingual support
Natural Language with Speech-to-Text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages.
Content targeting and discovery
Use Google's state-of-the-art language technology to classify content across media for better content recommendations and ad targeting.
Demo
Try the API
Key features
The powerful pre-trained models of the Natural Language API empowers developers to easily apply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.
Vertex AI offers access to the latest Gemini models from Google. Gemini is capable of understanding virtually any input, combining different types of information, and generating almost any output. Prompt and test Gemini in Vertex AI Studio, using text, images, video, or code. Using Gemini’s advanced reasoning and state-of-the-art generation capabilities, developers can try sample prompts for extracting text from images, converting image text to JSON, and even generate answers about uploaded images to build next-gen AI applications.
Documentation
Learn how to use sample prompts from the generative AI prompt gallery to perform the following tasks:
Start deriving insights from unstructured text using Google machine learning, with up to $300 in free credits.