Text Analysis Toolkit¶

Run deterministic text analysis across 9 endpoints. Compute readability scores, produce extractive summaries, compare documents, create structured diffs, mask sensitive data, filter profanity, analyze term frequency, detect language, and transliterate Unicode text.

Base URL¶

https://textanalysis.toolkitapi.io/v1/

Quick Start¶

Check text readability in one call:

curl -X POST "https://textanalysis.toolkitapi.io/v1/text/readability" \
  -H "X-API-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "The quick brown fox jumps over the lazy dog."}'

import requests

r = requests.post(
    "https://textanalysis.toolkitapi.io/v1/text/readability",
    headers={"X-API-Key": "YOUR_KEY"},
    json={"text": "The quick brown fox jumps over the lazy dog. A simple example."},
)
print(r.json()["flesch_reading_ease"])

const r = await fetch("https://textanalysis.toolkitapi.io/v1/text/readability", {
  method: "POST",
  headers: { "X-API-Key": "YOUR_KEY", "Content-Type": "application/json" },
  body: JSON.stringify({ text: "A sample text for readability analysis." }),
});
const data = await r.json();
console.log(`Flesch score: ${data.flesch_reading_ease}`);

Browse all text analysis endpoints →

Endpoints¶

Readability and Summarization¶

Similarity and Diff¶

Filtering and Frequency¶

Language Tools¶

Quick SDK Example¶

from toolkitapi import TextAnalysis

with TextAnalysis(api_key="tk_...") as ta:
    readability = ta.readability(text="This is a short sample paragraph for scoring.")
    similarity = ta.similarity(
        a="The quick brown fox jumps over the lazy dog.",
        b="A quick brown fox jumped over a lazy dog.",
        method="cosine",
    )

print(readability["scores"]["flesch_reading_ease"])
print(similarity["similarity"])

Python SDK¶

pip install toolkitapi

from toolkitapi import TextAnalysis

with TextAnalysis(api_key="tk_...") as ta:
    result = ta.language(text="Bonjour tout le monde", top_n=3)
    print(result["detected"], result["confidence"])

See drilldowns for endpoint-specific request and response fields.