Natural Language Understanding

Analyze text to extract meta-data from content such as concepts, entities, emotion, relations, sentiment and more.

  • Service
  • IBM
  • 07/02/2024
  • AI / Machine Learning
  • EU Supported
  • HIPAA Enabled
  • IAM-enabled
  • Sydney (au-syd)
  • Frankfurt (eu-de)
  • London (eu-gb)
  • Dallas (us-south)
  • Tokyo (jp-tok)
  • Washington DC (us-east)

Pricing plans

Prices shown are for country or location: United States
PlanFeatures and capabilitiesPricing
Lite
  • 30,000 NLU Items Per Month
  • 1 Custom Model
  • Fixed API Rate Limit. See Standard plan for higher API Rate Limit
  • NOTE: A NLU item is based on the number of data units enriched and the number of enrichment features applied. A data unit is 10,000 characters or less. For example: extracting Entities and Sentiment from 15,000 characters of text is (2 Data Units * 2 Enrichment Features) = 4 NLU Items. A custom model refers to an annotation model developed with Watson Knowledge Studio.
  • Free

The Lite plan gets you started with 30,000 NLU Items per month at no cost. This plan also enables use of one custom model published through Watson Knowledge Studio.


Lite plan services are deleted after 30 days of inactivity.
  • 30,000 NLU Items Per Month
  • 1 Custom Model
  • Fixed API Rate Limit. See Standard plan for higher API Rate Limit
  • NOTE: A NLU item is based on the number of data units enriched and the number of enrichment features applied. A data unit is 10,000 characters or less. For example: extracting Entities and Sentiment from 15,000 characters of text is (2 Data Units * 2 Enrichment Features) = 4 NLU Items. A custom model refers to an annotation model developed with Watson Knowledge Studio.

The Lite plan gets you started with 30,000 NLU Items per month at no cost. This plan also enables use of one custom model published through Watson Knowledge Studio.

Standard
  • Unlimited NLU Items Per Month
  • You will be charged per NLU Item
  • You will be charged per Custom Model
  • NOTE: A NLU item is based on the number of data units enriched and the number of enrichment features applied. A data unit is 10,000 characters or less. For example: extracting Entities and Sentiment from 15,000 characters of text is (2 Data Units * 2 Enrichment Features) = 4 NLU Items.
  • NOTE: HIPAA Enabled in Washington DC (US-East) & Dallas (US-South)
  • NOTE: EU Supported available in Frankfurt (EU-DE)
Multi-Tiered
Click to view tiers and pricing detail

Summary

Natural Language Understanding

Free
  • Plan: Lite
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