# Readability Scorer — Flesch, Grade Level & More (`hipersoft/readability-scorer`) Actor

Score how easy any text is to read. Get Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, SMOG, Coleman-Liau and ARI, plus word, sentence and syllable counts and a plain-English difficulty label. Score one text or many at once. Output JSON, CSV or Excel.

- **URL**: https://apify.com/hipersoft/readability-scorer.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0005 / text scored

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Readability Scorer — Flesch, Grade Level & More

Measure how easy any text is to read with the **Readability Scorer**. Paste an article, blog post, email or document and get every major **readability metric** — **Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, SMOG, Coleman-Liau and the Automated Readability Index** — plus word, sentence and syllable counts and a plain-English difficulty label. Export as **JSON, CSV or Excel**.

Perfect for **SEO and content teams, editors, educators, UX writers and accessibility checks**, it tells you whether your writing matches your audience's reading level — instantly, with no setup.

### What it does

- 📖 **All the standard scores** — Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog Index, SMOG Index, Coleman-Liau Index and Automated Readability Index (ARI).
- 🏷️ **Plain-English label** — a readable "Very easy → Very difficult" band alongside the Reading Ease score.
- 🔢 **Underlying counts** — words, sentences, syllables, characters, complex words, words-per-sentence and syllables-per-word.
- 📚 **Batch scoring** — score a whole list of texts in one run, each labelled by document.
- 👀 **Preview column** — a short snippet of each text so results are easy to scan.
- 📤 **Export anywhere** — JSON, CSV or Excel, or straight into a spreadsheet or content dashboard.

### Example output

```json
{
  "documentIndex": 0,
  "preview": "The cat sat on the mat. The dog ran fast...",
  "wordCount": 16,
  "sentenceCount": 3,
  "fleschReadingEase": 116.82,
  "readingEaseLevel": "Very easy",
  "fleschKincaidGrade": -1.71,
  "gunningFog": 2.13,
  "smogIndex": 3.13,
  "colemanLiauIndex": -4.44,
  "automatedReadabilityIndex": -5.22
}
```

### How to use it

1. Paste your **text** (or add several texts in the list).
2. Run, and download the scores as **JSON, CSV or Excel**.

### Input fields

| Field | Description |
|-------|-------------|
| **Text** | The text to score. |
| **Multiple texts** | Optional list of separate texts to score in one run. |
| **Max results** | Maximum number of texts to score (0 = no limit). |

### Output fields

`documentIndex`, `preview`, `wordCount`, `sentenceCount`, `syllableCount`, `characterCount`, `complexWordCount`, `wordsPerSentence`, `syllablesPerWord`, `fleschReadingEase`, `readingEaseLevel`, `fleschKincaidGrade`, `gunningFog`, `smogIndex`, `colemanLiauIndex`, `automatedReadabilityIndex`.

### Understanding the scores

- **Flesch Reading Ease** — higher is easier (90+ very easy, 60–70 standard, under 30 very difficult).
- **Flesch-Kincaid Grade / Gunning Fog / SMOG / Coleman-Liau / ARI** — US school-grade levels; lower means more accessible.

### Popular use cases

- **SEO & content** — keep articles at a reading level that ranks and converts.
- **Editing & UX writing** — flag copy that's too dense before it ships.
- **Education** — check that materials match a target grade level.
- **Accessibility** — ensure public-facing text is broadly understandable.
- **Bulk audits** — score an entire content library at once and sort by difficulty.

### FAQ

**Do I need an account or key?**
No. Paste your text and run.

**Which languages are supported?**
The metrics are designed for English text. Other languages will produce numbers but the scales are calibrated for English.

**Can I score many texts at once?**
Yes — add a list of texts and each is scored separately, with a document index on every row.

**How are syllables counted?**
With a well-established English syllable heuristic. As with all readability tools, unusual words may vary slightly, but scores are consistent and comparable across texts.

**Can I export to Excel or Google Sheets?**
Yes — results download as JSON, CSV or Excel and integrate with Sheets and dashboards.

***

Know your text's reading level at a glance — **Flesch, Grade Level, Gunning Fog and more** — scored and export-ready for SEO, editing and accessibility.

# Actor input Schema

## `text` (type: `string`):

The text to score. Paste an article, blog post, email or document. For multiple texts, use the list below.

## `texts` (type: `array`):

Optional — a list of separate texts to score in one run. Each is scored independently and labelled by document.

## `maxItems` (type: `integer`):

Maximum number of texts to score (0 = no limit).

## Actor input object example

```json
{
  "texts": [],
  "maxItems": 0
}
```

# Actor output Schema

## `results` (type: `string`):

The results as dataset items.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "text": "",
    "texts": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/readability-scorer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "text": "",
    "texts": [],
}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/readability-scorer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "text": "",
  "texts": []
}' |
apify call hipersoft/readability-scorer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/readability-scorer"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/egoLkWh6ceA2fhq2L/builds/UNS9S8bC5HCSvjwil/openapi.json