Integrated REST API

Natural Language is accessible via our REST API. Text can be uploaded in the request or integrated with Cloud Storage.

Syntax analysis

Extract tokens and sentences, identify parts of speech and create dependency parse trees for each sentence.

Entity analysis

Identify entities within documents — including receipts, invoices, and contracts — and label them by types such as date, person, contact information, organization, location, events, products, and media.

Custom entity extraction

Identify entities within documents and label them based on your own domain-specific keywords or phrases.

Sentiment analysis

Understand the overall opinion, feeling, or attitude sentiment expressed in a block of text.

Custom sentiment analysis

Understand the overall opinion, feeling, or attitude expressed in a block of text tuned to your own domain-specific sentiment scores.

Content classification

Classify documents in 700+ predefined categories.

Custom content classification

Create labels to customize models for unique use cases, using your own training data.

Multi-language

Enables you to easily analyze text in multiple languages including English, Spanish, Japanese, Chinese (simplified and traditional), French, German, Italian, Korean, Portuguese, and Russian.

Custom models

Train custom machine learning models with minimum effort and machine learning expertise.

Powered by Google’s AutoML models

Leverages Google state-of-the-art AutoML technology to produce high-quality models.

Spatial structure understanding

Use the structure and layout information in PDFs to improve custom entity extraction performance.

Large dataset support

Unlock complex use cases with support for 5,000 classification labels, 1 million documents, and 10 MB document size.