NLP Cloud API
Overview
NLP Cloud is an API that provides a wide range of natural language processing features including named entity recognition, sentiment analysis, text classification, and summarization using state-of-the-art models like spaCy and Hugging Face transformers. You send text to a model endpoint and receive structured NLP analysis results. It removes the need to host ML models yourself, making advanced NLP accessible with just a few lines of code.
Beginner Tip
Start with the sentiment analysis endpoint as it is the simplest to understand—you send text and get back a positive/negative/neutral label with a score. The free tier includes 10,000 API calls per month to experiment with different models.
Available Data
Example Response
{
"status": "success",
"data": {
"result": "Data from NLP Cloud",
"description": "NLP API using spaCy and transformers for NER, sentiments, classification, summarization, and more",
"timestamp": "2025-01-15T10:00:00Z"
}
} Field Reference
scored_labels List of sentiment labels with their confidence scores. scored_labels[].label Sentiment category (e.g., 'POSITIVE', 'NEGATIVE', 'NEUTRAL'). scored_labels[].score Confidence score from 0 to 1 for this sentiment label. entities For NER endpoints, list of named entities found in the text (e.g., people, places, organizations). entities[].type Entity type label such as PERSON, ORG, GPE (geopolitical entity), or DATE. Implementation Example
const url = "https://nlpcloud.io/";
// Replace headers or query params with the values required by this API.
const response = await fetch(url, {
headers: {
"X-API-Key": "YOUR_API_KEY"
}
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
const data = await response.json();
console.log(data); What Can You Build?
Note: These code examples are AI-generated and unverified. Always refer to the official API documentation for accurate usage.
Common Errors & Troubleshooting
Matrix Score Breakdown
Partially tested on Apr 5, 2026
Technical Specifications
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