Google Cloud Natural Language API Pricing Overview
Google Cloud Natural Language API at a glance
The Natural Language provides a set of features for analyzing unstructured text. You pay only for the features you use with no upfront commitments.
| Name | Price | Features |
|---|---|---|
| Free | FreePer Month |
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| Standard Pricing | Pay As You GoPer Month | Your usage of the Natural Language is calculated in terms of “units,” where unit is a document sent to the Natural Language API for analysis, or a portion of a document that is 1,000 characters long.
The more units are evaluated using features below the less you pay per unit within a month.
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Google Cloud Natural Language API pricing & plans
Top Rated Google Cloud Natural Language API Alternatives
Google Cloud Natural Language API Pricing Reviews
The most helpful aspects of using GCP NLP API are the integrated UI/environment and simplified design. The key features are prominent to locate while the categories of each feature application are well sorted in a hierarchy of importance.
Implementing NLP is straightforward but requires lengthy lines of code when using other APIs external to the GCP.
Customer Support is efficient due to frequent use. However, the technical skill of each customer service agent significantly varies from my experience. I observed varied levels of technical understanding of the GCP among the staff which I could describe as degraded due to my last encounter.
I periodically use the GCP especially for training/ research but not in production at the moment because I also use the AWS platform which is better simplified in my opinion but the GCP is more cost-efficient. The Vertex AI platform is robust and integrates well with other ML cloud providers and major data warehouses. Review collected by and hosted on G2.com.
The downside of GCP NLP API is the over-population of the applications in each feature category and the low throughput and network latency for users outside the USA with particular reference to Nigeria, and Africa at large. It is difficult to optimise the ML application due to delayed inference time which would have implications for multi-threaded ML pipeline applications. Review collected by and hosted on G2.com.
