Readability Scores API

Data Extraction

#readability #score #text

ApyHub

250 atoms

Base tier

About

This API calculates the readability score of a given text, providing insights into its ease of comprehension.

This API can be used for assessing the readability of text, making it useful for content creators, educators, and researchers. Whether you're working on educational materials, marketing content, or research papers, this API helps you gauge how accessible your text is to different audiences.

Try out the API in the API playground and see how this free document readability score calculator API can help you calculate the readability of any text easily, optimize your content, and improve reader satisfaction with a simple API call.

API Playground

API Documentation

Extract Readability Score

POST

https://api.apyhub.com/extract/text/readability-score

Request example

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curl --location --request POST 'https://api.apyhub.com/extract/text/readability-score' \
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--header 'apy-token: {{token}}' \
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--header 'Content-Type: application/json' \
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--data-raw '{
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    "text": "Once upon a time in the quaint town of Willowbrook, nestled amidst rolling green hills, lived a young woman named Emily. Every morning, she would wake up to the gentle chime of her antique alarm clock and begin her routine: stretching her limbs, brushing her teeth with minty precision, and brewing a steaming cup of coffee that filled the air with its comforting aroma. Her days followed a predictable pattern as she strolled to the cozy bakery on Oak Street, exchanging warm greetings with familiar faces along the way.\n\n Inside the bakery, she would order a flaky croissant and chat briefly with the friendly baker, Mr. Thompson, who never failed to share a new tale from the town's history. As the sun reached its peak, Emily made her way to the local library, losing herself in the pages of classic novels and enriching her mind with knowledge from various non-fiction books. Lunchtime meant a visit to the inviting park, where she spread out a blanket and enjoyed a simple yet delightful picnic of sandwiches and fresh fruits. Afternoons were for her part-time job at the charming flower shop, where she artfully arranged bouquets, adding vibrant colors to people's lives.\n\n Evenings were a peaceful affair as she prepared a hearty meal, savoring each bite, and spent quality time with her cherished cat, Whiskers, who never ceased to entertain her with amusing antics. Nighttime brought serenity as Emily gazed at the starry sky from her bedroom window before drifting off to sleep, knowing that the next day would be much like the one before, filled with comforting rituals and familiar faces. And so, life continued in the unassuming town of Willowbrook, where the days were marked by routine, and the simplicity of everyday existence brought contentment to Emily's heart."
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}'

Method: POST

Content Type: application/json

Request Body

Attribute	Type	Mandatory	Description
text	String	Yes	The text or content for which you want to calculate the readability score metics to give text in multiple paragraph add new-lines ("\n\n")

Response

Attribute	Type	Description
data.flesh_kincaid_reading_ease.score	Number	The Flesch Reading Ease score ranges from 1 to 100, The `Flesh Kincaid Reading Ease Table` is an example of values. While the maximum score is 121.22, there is no limit on how low the score can be. A negative score is valid.
data.flesh_kincaid_reading_ease.level	Number	The Flesch-Kincaid Grade of the given text.
data.flesh_kincaid_reading_ease.label	Boolean	If the Flesch Reading Ease score is greater then 70 it is `true` else `false`
data.flesh_kincaid_reading_ease.class	String	Describes the readability class or category, such as `College` for complex texts, the `Flesh Kincaid Reading Ease Table` contains all possible values.
data.flesh_kincaid_reading_ease.class_label	String	Provides a descriptive label for the readability class,the `Flesh Kincaid Reading Ease Table` contains all possible values like `Difficult to read.`
data.stats.paragraphs	Number	The total number of paragraphs in the text.
data.stats.sentences	Number	The total count of sentences in the text.
data.stats.words	Number	The total number of words in the text.
data.stats.characters	Number	The total character count in the text.
data.stats.reading_time	Number	The estimated time in seconds it would take to read the entire text.
data.stats.speaking_time	Number	The estimated time in seconds it would take to verbally speak or present the text.
data.stats.avg_word_length	Number	Average length of words in the text (measured in characters).
data.stats.avg_sentence_length	Number	Average length of sentences in the text (typically measured in words).
data.stats.avg_paragraph_length	Number	Average length of paragraphs in the text (often measured in sentences or words).

Flesh Kincaid Reading Ease Table

Score	Class	Class Label
Greater than 90	5th grade	Very easy to read. Easily understood by an average 11-year-old student.
90.0–80.0	6th grade	Easy to read. Conversational English for consumers.
80.0–70.0	7th grade	Fairly easy to read.
70.0–60.0	8th & 9th grade	Plain English. Easily understood by 13- to 15-year-old students.
60.0–50.0	10th to 12th grade	Fairly difficult to read.
50.0–30.0	College	Difficult to read.
30.0–10.0	College graduate	Very difficult to read. Best understood by university graduates.
Less than 10.0	Professional	Extremely difficult to read. Best understood by university graduates.

Sample Response

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{
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    "data": {
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        "flesh_kincaid_reading_ease": {
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            "score": 38.62,
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            "level": 11.8,
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            "label": false,
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            "class": "College",
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            "class_label": "Difficult to read."
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        },
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        "stats": {
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            "paragraphs": 3,
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            "sentences": 17,
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            "words": 267,
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            "characters": 1555,
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            "reading_time": 22.84,
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            "speaking_time": 106.8,
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            "avg_word_length": 5.82,
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            "avg_sentence_length": 15.71,
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            "avg_paragraph_length": 5.67
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        }
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    }
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}

HTTP Response Codes

The method may return one of the following HTTP status codes:

Status Code	Description
200	The request was successful.
401	Required authentication information is either missing or not valid for the resource.
400	Invalid input - the image urls are corrupt or not accessible.
500	If any unexpected error occurs while processing the request.

Authentication

All API requests to ApyHub services need to be authenticated. Currently we support tokens or basic authentication mechanisms. You can generate and view your existing credentials from your workspace settings (on the left side of the navbar) and go to “API Keys".

Points to note:

Credential secrets are generated on the fly and are not stored in plain text, so on generating a credential please save the secrets somewhere safe.
Use the apy-token as the header parameter to pass the token.
Use the Authorization header to send the basic authentication credentials.

Error codes

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{
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  "error": {
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    "code": 105,
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    "message": "Invalid URL"
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  }
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}

To search for a specific error code, enter the code in the search box below. Alternatively, you can click on the button to view a complete list of all error codes.

Search by code

Table of contents

AboutAPI PlaygroundAPI DocumentationAuthenticationError codesRelated Utility APIsRelated Articles

Readability Scores API

About

API Playground

API Documentation

Request example

HTTP Response Codes

Authentication

Error codes

101 - Missing parameters

102 - Invalid JSON

103 - Invalid input

104 - Invalid file

105 - Invalid URL

109 - Invalid input format

110 - Server error