AI Content Analyzer API

AI Content Analyzer API to analyze text: extract keywords, summarize, detect sentiment, rewrite, extract entities, and check readability using GPT-4o mini.

# πŸ” AI-Powered Content Analyzer API

Supercharge your content workflows with **AI-Powered Content Analyzer**, a powerful, production-grade API built on **OpenAI's GPT-4o mini** — optimized for blazing-fast performance and low-cost usage.

This all-in-one API is perfect for developers, startups, marketers, or platforms that need rich content understanding and transformation at scale.

## 🧠 What It Can Do

The API supports the following intelligent content operations:

### ✨ Keyword Extraction
Identify the most relevant keywords in your text, along with their **semantic density scores**.

### ✨ Summarization
Generate concise, contextually rich summaries of your content in seconds.

### ✨ Text Rewriting
Rewrite any paragraph with the **same meaning but different wording**, perfect for SEO, paraphrasing, and content re-use.

### ✨ Sentiment Analysis
Classify the emotional tone of your content as `positive`, `neutral`, or `negative`, along with a confidence `score` (0–1).

### ✨ Named Entity Recognition (NER)
Detect people, organizations, dates, emails, locations, numbers, and more from your content with high precision.

### ✨ Readability Analysis
Assess your content’s **Flesch-Kincaid readability score** and estimate the U.S. school grade level for maximum accessibility.

## πŸš€ Why Choose This API?

- βœ… **Powered by GPT-4o mini** — OpenAI’s latest lightweight yet powerful model
- βœ… Super low-latency & low-cost
- βœ… Designed for scale with 99.9% uptime
- βœ… Easy to integrate and developer-friendly
- βœ… Unified error handling and JSON schema responses
- βœ… Built on secure, production-ready Cloudflare Workers

## πŸ“¦ Example Use Cases

- Content enrichment and metadata extraction
- CMS automation or editorial tools
- AI chat and assistant capabilities
- SEO/SEM platforms
- Sentiment tracking for reviews or feedback
- Education tools analyzing content complexity

 

API Documentation

Endpoints


Summarize the provided text into a concise version.



                                                                            
POST https://zylalabs.com/api/6403/ai+content+analyzer+api/9182/summarize+text
                                                                            
                                                                        

Summarize Text - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"summary":"The text is a brief sample expressing uncertainty about its length."}
                                                                                                                                                                                                                    
                                                                                                    

Summarize Text - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6403/ai+content+analyzer+api/9182/summarize+text' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{"text":"This is sample text, not sure it can be any longer, lets see bla bla."}'

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the AI Content Analyzer API REST API, simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

Simple Transparent Pricing

No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.

πŸš€ Enterprise

Starts at
$ 10,000/Year


  • Custom Volume
  • Specialized Customer Support
  • Real-Time API Monitoring

Customer favorite features

  • βœ”οΈŽ Only Pay for Successful Requests
  • βœ”οΈŽ Free 7-Day Trial
  • βœ”οΈŽ Multi-Language Support
  • βœ”οΈŽ One API Key, All APIs.
  • βœ”οΈŽ Intuitive Dashboard
  • βœ”οΈŽ Comprehensive Error Handling
  • βœ”οΈŽ Developer-Friendly Docs
  • βœ”οΈŽ Postman Integration
  • βœ”οΈŽ Secure HTTPS Connections
  • βœ”οΈŽ Reliable Uptime

AI Content Analyzer API FAQs

Each endpoint returns JSON-formatted data. For example, the Keyword Extraction endpoint returns keywords with their semantic density scores, while the Sentiment Analysis endpoint provides the emotional tone and confidence score of the text.

Key fields vary by endpoint. For Keyword Extraction, expect "keywords" and "density scores." Sentiment Analysis includes "sentiment" and "confidence score." Each endpoint's documentation details specific fields.

Each endpoint accepts a "text" parameter containing the input text. Some endpoints may allow additional parameters for customization, such as specifying the summary length in the Summarization endpoint.

Response data is structured in JSON format, typically containing a "status" field, the main data (e.g., keywords, sentiment), and any relevant metadata. This structure allows for easy parsing and integration.

Use cases include content enrichment, SEO optimization, sentiment tracking for customer feedback, and educational tools assessing text complexity. Each endpoint serves specific needs within these scenarios.

Data accuracy is maintained through the use of OpenAI's GPT-4o mini model, which is trained on diverse datasets. Regular updates and quality checks ensure the model's performance remains high.

Users can integrate the returned data into applications for real-time analysis, content generation, or reporting. For instance, sentiment scores can inform marketing strategies, while keyword data can enhance SEO efforts.

Standard patterns include consistent keyword formats, sentiment classifications (positive, neutral, negative), and readability scores. Users can anticipate structured outputs that facilitate straightforward analysis and application.

General FAQs

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