Tinq.ai offers various readability metrics in the API.
Each of them has specific use-cases depending on the end-user’s applications.
Here is what each of them means and how they can be interpreted, and used
SMOG (Simple Measure of Gobbledygook) smog
smog
The SMOG grade is a measure of readability that estimates the years of education needed to understand a piece of writing. SMOG is an acronym for "Simple Measure of Gobbledygook".
Learn more: https://en.wikipedia.org/wiki/SMOG
Flesch–Kincaid readability tests flesch_reading
flesch_reading
The Flesch–Kincaid readability tests are readability tests designed to indicate how difficult a passage in English is to understand. There are two tests: the Flesch Reading-Ease, and the Flesch–Kincaid Grade Level.
Learn more: http://en.wikipedia.org/wiki/Flesch-Kincaid_Readability_Test
Automated readability index ari
ari
The automated readability index (ARI) is a readability test for English texts, designed to gauge the understandability of a text.
Like the Flesch–Kincaid grade level, Gunning fog index, SMOG index, Fry readability formula, and Coleman–Liau index, it produces an approximate representation of the US grade level needed to comprehend the text.
Learn more: http://en.wikipedia.org/wiki/Automated_Readability_Index
Gunning fog index gunning_fog
gunning_fog
The fog index is commonly used to confirm that text can be read easily by the intended audience. Texts for a wide audience generally need a fog index less than 12. Texts requiring near-universal understanding generally need an index less than 8.
Learn more: http://en.wikipedia.org/wiki/Gunning-Fog_Index
Coleman–Liau index
The Coleman–Liau index was designed to be easily calculated mechanically from samples of hard-copy text. Unlike syllable-based readability indices, it does not require that the character content of words be analyzed, only their length in characters.
Therefore, it could be used in conjunction with theoretically simple mechanical scanners that would only need to recognize character, word, and sentence boundaries, removing the need for full optical character recognition or manual keypunching.
Learn more: http://en.wikipedia.org/wiki/Coleman-Liau_Index