Text Readability Metrics API

Text Readability Metrics API

The Text Readability Metrics API calculates readability metrics for text. Supported metrics include the Automated Readability Index, Coleman-Liau Index, Flesch–Kincaid Grade Level, Flesch Reading Ease, Gunning-Fog Index, SMOG score, and SMOG Index. This API can be used to evaluate the readability of written content, making it easier to target specific audiences and improve overall readability.

About the API: 

The Text Readability Metrics API is a powerful tool for developers and content creators who want to evaluate the readability of written content. This API computes a set of readability metrics for a given text, including the Automated Readability Index, Coleman-Liau Index, Flesch–Kincaid Grade Level, Flesch Reading Ease, Gunning-Fog Index, SMOG score, and SMOG Index.

The Automated Readability Index (ARI) is a metric that measures the readability of a text by taking into account the average number of words per sentence and the average number of characters per word. The resulting score indicates the grade level required to understand the text.

The Coleman-Liau Index is a metric that measures the readability of a text by taking into account the average number of characters per word and the average number of sentences per 100 words. The resulting score indicates the grade level required to understand the text.

The Flesch–Kincaid Grade Level is a metric that measures the readability of a text by taking into account the average number of words per sentence and the average number of syllables per word. The resulting score indicates the grade level required to understand the text.

The Flesch Reading Ease is a metric that measures the ease of reading a text by taking into account the average number of words per sentence and the average number of syllables per word. The resulting score indicates how easy or difficult it is to understand the text.

The Gunning-Fog Index is a metric that measures the readability of a text by taking into account the average number of words per sentence and the percentage of words that have three or more syllables. The resulting score indicates the grade level required to understand the text.

The SMOG score and index are metrics that measure the readability of a text by taking into account the number of polysyllabic words in the text. The resulting score indicates the grade level required to understand the text.

The Text Readability Metrics API is easy to use, with simple REST API calls that return JSON-formatted results. Developers can use this API to evaluate the readability of written content, such as articles, essays, or blog posts. This can help content creators target specific audiences, improve the overall readability of their content, and provide a better user experience for readers.

Overall, the Text Readability Metrics API is a valuable tool for developers and content creators who want to evaluate the readability of written content. With its support for a variety of readability metrics, this API can help developers create intelligent applications that can understand the complexity and readability of written content, making it easier for users to access and understand information.

 

What this API receives and what your API provides (input/output)?

Pass the text and receive its readability metrics. 

 

What are the most common uses cases of this API?

  1. Content Creation: Content creators, such as bloggers or copywriters, can use the Text Readability Metrics API to ensure that their content is easy to read and understand. By analyzing their writing, they can identify areas that may be too complex and adjust their writing to target a specific audience.

  2. Educational Applications: Educational applications can use the Text Readability Metrics API to evaluate the difficulty of educational texts and adjust the content based on the reading level of the user. By providing content that is tailored to a user's reading level, these applications can make educational material more accessible and engaging.

  3. News Aggregators: News aggregators can use the Text Readability Metrics API to identify articles that are easy to read and prioritize for their users. By presenting articles that are easier to read, these applications can increase user engagement and improve the user experience.

  4. Accessibility: The Text Readability Metrics API can be used to evaluate the readability of websites and applications to ensure that they are accessible to a wide range of users. By making content easier to read, users with cognitive disabilities or reading difficulties can better access information.

  5. Language Learning: Language learning applications can use the Text Readability Metrics API to evaluate the difficulty of texts in a foreign language. By providing content that is tailored to the user's language level, these applications can make language learning more accessible and engaging.

 

Are there any limitations to your plans?

Besides the number of API calls, there is no other limitation

API Documentation

Endpoints


Retrieve the readability metrics of the given text. 



                                                                            
POST https://zylalabs.com/api/1820/text+readability+metrics+api/1481/get+metrics
                                                                            
                                                                        

Get Metrics - Endpoint Features
Object Description
text [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
 "COLEMAN_LIAU": 13.746,
 "SMOG_INDEX": 14.402,
 "SMOG": 15.021,
 "FLESCH_READING": 34.115,
 "SYLLABLES": 146.000,
 "FLESCH_KINCAID": 15.623,
 "COMPLEXWORDS": 13.000,
 "ARI": 17.330,
 "GUNNING_FOG": 17.200,
 "SENTENCES": 3.000,
 "CHARACTERS": 446.000,
 "WORDS": 86.000
}
                                                                                                                                                                                                                    
                                                                                                    

Get Metrics - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/1820/text+readability+metrics+api/1481/get+metrics?text=The word logorrhoea is often used pejoratively  to describe prose that is highly abstract and  contains little concrete language. Since abstract  writing is hard to visualize, it often seems as though  it makes no sense and all the words are excessive.  Writers in academic fields that concern themselves mostly  with the abstract, such as philosophy and especially  postmodernism, often fail to include extensive concrete  examples of their ideas, and so a superficial examination  of their work might lead one to believe that it is all nonsense.' --header 'Authorization: Bearer YOUR_API_KEY' 

    

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 Text Readability Metrics 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.

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 Response Time
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Category:

NLP

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