TextLens API

Text analysis in one API call. Readability, sentiment, keywords, SEO scoring.

curl -X POST https://api.ckmtools.dev/v1/analyze \
  -H "X-API-Key: your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"text": "Your text here..."}'

Get Early Access API Reference

What you get

8 Readability Formulas

Flesch, Flesch-Kincaid, Coleman-Liau, ARI, Gunning Fog, SMOG, Dale-Chall, Linsear Write.

Sentiment Analysis

Positive, negative, or neutral with confidence score.

Keyword Extraction

Top keywords ranked by TF and length weighting.

Keyword Density

Unigram, bigram, and trigram frequency analysis.

SEO Scoring

Composite score with actionable suggestions.

Fast

Sub-50ms response times. Pure algorithmic, no ML cold starts.

Code examples

curl -X POST https://api.ckmtools.dev/v1/analyze \
  -H "X-API-Key: $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "The quick brown fox jumps over the lazy dog."}'

import requests

response = requests.post(
    'https://api.ckmtools.dev/v1/analyze',
    headers={'X-API-Key': 'your_api_key'},
    json={'text': 'Your text here...'}
)
result = response.json()
print(f"Readability grade: {result['readability']['consensusGrade']}")
print(f"Sentiment: {result['sentiment']['label']}")

const response = await fetch('https://api.ckmtools.dev/v1/analyze', {
  method: 'POST',
  headers: {
    'X-API-Key': 'your_api_key',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({ text: 'Your text here...' }),
});
const result = await response.json();
console.log(`Readability grade: ${result.readability.consensusGrade}`);

require 'net/http'
require 'json'

uri = URI('https://api.ckmtools.dev/v1/analyze')
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true
req = Net::HTTP::Post.new(uri, 'X-API-Key' => 'your_api_key', 'Content-Type' => 'application/json')
req.body = { text: 'Your text here...' }.to_json
res = http.request(req)
puts JSON.parse(res.body)

Sample response

{
  "statistics": {
    "words": 156,
    "sentences": 8,
    "paragraphs": 3
  },
  "readability": {
    "fleschReadingEase": { "score": 65.2, "grade": 8, "interpretation": "Standard" },
    "consensusGrade": 8
  },
  "sentiment": {
    "score": 0.23,
    "label": "positive",
    "confidence": 0.67
  },
  "keywords": [
    { "word": "analysis", "score": 4.2, "count": 3, "density": 1.92 }
  ],
  "meta": {
    "characters": 892,
    "processing_time_ms": 12
  }
}

Switching from a Python library? See textstat vs TextLens API →

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Switching from AWS? TextLens API vs AWS Comprehend →

See all Python library comparisons →

Using Ruby? See Ruby-specific examples →

Using Go? See Go-specific examples →

Using Python? See Python-specific examples →

Using PHP? See PHP-specific examples →