5 Free NLP APIs You Can Use with Python Today

Natural Language Processing (NLP) used to require expensive infrastructure and ML expertise. Not anymore. These free NLP APIs let you add powerful text analysis to any Python project in minutes.

1. SentimentAI - Text Sentiment Analysis

Analyze text sentiment with transformer models. Returns polarity scores, emotion detection, and confidence levels. 5,000 free requests per month.

import requests

response = requests.post(
    "https://freeapitools.dev/api/v1/sentiment",
    json={"text": "I love this product!", "language": "en"}
)
print(response.json())

View SentimentAI docs →

2. TextSummarizer - AI Text Summarization

Abstractive and extractive summarization for articles up to 50K tokens. Perfect for content curation and document processing.

View TextSummarizer docs →

3. EntityExtract - Named Entity Recognition

Extract people, organizations, locations, dates, and custom entities from text. Supports 50+ languages with 3,000 free requests monthly.

import requests

text = "Apple CEO Tim Cook announced the new product in California."
response = requests.post(
    "https://freeapitools.dev/api/v1/entities",
    json={"text": text, "types": ["PERSON", "ORG", "LOC"]}
)

for entity in response.json()["entities"]:
    print(f"{entity['text']} ({entity['type']})")

View EntityExtract docs →

4. TextClassifier - Zero-Shot Classification

Classify text into any custom categories without training. Powered by large language models. 2,000 requests/month free.

View TextClassifier docs →

5. KeywordExtract - Keyword Extraction

Extract ranked keywords and key phrases using RAKE and TextRank algorithms. 5,000 free requests per month.

View KeywordExtract docs →

Getting Started

All APIs share the same authentication flow. Get your free key and start building:

Get API Key →