Readability Score
Score English text readability using Flesch reading ease and Flesch-Kincaid grade heuristics.
Description
Score English text readability using Flesch reading ease and Flesch-Kincaid grade heuristics.
Readability Score is a focused tool for the following task. Score English text readability using Flesch reading ease and Flesch-Kincaid grade heuristics. It reports Reading ease, Grade level, Words, Sentences, Syllables from the values you provide rather than inventing measurements, coefficients, or professional judgment that are not part of the input.
When to use Readability Score
Use this text operation when its stated character encoding, token boundaries, normalization, case handling, and output format match the surrounding workflow.
- Text
- Required string. English prose to score.
The cited overview of Text processing supplies background for the terminology and domain context used by this tool.1
How Readability Score works
Score English text readability using Flesch reading ease and Flesch-Kincaid grade heuristics. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.
- Reading ease
- Returned number. Flesch reading ease rounded to two decimals.
- Grade level
- Returned number. Flesch-Kincaid grade level rounded to two decimals.
- Words
- Returned integer. Detected words containing letters.
- Sentences
- Returned integer. Detected sentences.
- Syllables
- Returned integer. Heuristic syllable estimate.
Limitations and assumptions
- Unicode normalization, locale, grapheme clusters, malformed input, ambiguous syntax, and implementation-specific conventions can change text-processing results.
- Use finite inputs in the displayed units, preserve source measurements and assumptions, and independently verify consequential decisions.
Alternative or Complementary approaches
Preserve the original text, test representative non-ASCII and malformed cases, and use a standards-aware parser or serializer when interoperability matters.
References
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Text processing — Wikipedia contributors
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