Label Reading Level Grade Text Complexity Rater

Flesch-Kincaid Englishgrade arithmetic on independently annotated actual label counts, not parse syllables/sentences automatically or establish comprehension, accessibility or school suitability.

Description

Flesch–Kincaid grade estimates text complexity from annotated words, sentences and syllables.

Flesch–Kincaid grade estimates text complexity from annotated words, sentences and syllables.1

It does not measure comprehension or automatically count the text's linguistic features.

When to use Label Reading Level Grade Text Complexity Rater

Use this tool to calculate or review the supplied observations under the stated rules. Establish the object or visitor scope, measurement units and independently applicable conservation, engineering, access or editorial reference.

How to use Label Reading Level Grade Text Complexity Rater and understand its results

  1. Establish the object or visitor scope, measurement units and independently applicable conservation, engineering, access or editorial reference.
  2. Enter independentlyAnnotatedWordCount, independentlyAnnotatedSentenceCount, independentlyAnnotatedSyllableCount, using the field meanings and rules below, then run the tool.
  3. Read result.conditionalFleschKincaidGrade. Use the units and sign conventions below.
  4. Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
Input fieldMeaningValue typeRequirement
independentlyAnnotatedWordCountIndependently annotated word countnumberRequired
independentlyAnnotatedSentenceCountIndependently annotated sentence countnumberRequired
independentlyAnnotatedSyllableCountIndependently annotated syllable countnumberRequired

Require integer word count 1–1000000, sentence count 1–words and syllables between words and 10000000. Apply the Flesch–Kincaid coefficients to the supplied counts. Negative grades are retained; no text parsing or integer grade rounding is performed.

grade=0.39×words/sentences+11.8×syllables/words−15.59

Use the matching field units and the exact boundary, ordering and reference rules above.

Output fieldMeaningValue type
resultStructured result; its nested fields below contain the actual calculation or selected referenceobject
result.conditionalFleschKincaidGradeConditional Flesch Kincaid Gradenumber
json
{
  "input": {
    "independentlyAnnotatedWordCount": 100,
    "independentlyAnnotatedSentenceCount": 10,
    "independentlyAnnotatedSyllableCount": 150
  },
  "output": {
    "result": {
      "conditionalFleschKincaidGrade": 6.009999999999998
    }
  }
}

Limitations and assumptions

Object condition, observation coverage and applicable references determine applicability. A supplied comparison or record does not certify conservation treatment, engineering, access compliance or insurance eligibility.

Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Extremely large composite outputs are rejected.

Alternative or Complementary methods

For a related step, use Wall Text Word Count Attention Span Limit Checker: Wall-text word limits are editorial choices tied to audience and layout. For a complementary comparison, use Label Reading Distance Character Height Rule Checker: Character angular height relates measured letter height to reading distance.

References

  1. Label Reading Level Grade Text Complexity Rater — tool.io

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