# Detect the Language of Texts With Confidence Scores

**Use case:** 

Identify the language of each text and see a confidence score. This example checks five short sentences in English, Spanish, Russian, German and Japanese. Replace them with your own texts, pages or a dataset.

## Input

```json
{
  "texts": [
    "The quick brown fox jumps over the lazy dog near the river bank.",
    "Hoy hemos publicado una nueva versión de la aplicación con muchas mejoras.",
    "Мы рады сообщить о запуске нашего нового сервиса для клиентов.",
    "Wir freuen uns, Ihnen unser neues Produkt für kleine Unternehmen vorzustellen.",
    "新しいサービスの提供を開始しました。ぜひご利用ください。"
  ],
  "datasetField": "text",
  "detectMixed": false,
  "accuracy": "high",
  "reliableThreshold": 0.7,
  "maxItems": 1000,
  "maxCharsPerText": 20000,
  "concurrency": 4,
  "timeoutSecs": 30
}
```

## Output

```json
{
  "textPreview": {
    "label": "Text",
    "format": "string"
  },
  "url": {
    "label": "Page URL",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "languageName": {
    "label": "Name",
    "format": "string"
  },
  "confidence": {
    "label": "Confidence",
    "format": "number"
  },
  "isReliable": {
    "label": "Reliable?",
    "format": "boolean"
  },
  "lowConfidence": {
    "label": "Low confidence?",
    "format": "boolean"
  },
  "script": {
    "label": "Script",
    "format": "string"
  },
  "charCount": {
    "label": "Characters",
    "format": "integer"
  },
  "candidates": {
    "label": "Top 3",
    "format": "array"
  },
  "htmlLang": {
    "label": "html lang",
    "format": "string"
  },
  "htmlLangMatches": {
    "label": "lang matches?",
    "format": "boolean"
  },
  "isMixed": {
    "label": "Mixed?",
    "format": "boolean"
  },
  "languages": {
    "label": "Languages by sentence",
    "format": "array"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "note": {
    "label": "Note",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Language Detector: Detect Text Language in Bulk (API) Actor is ready to run with the inputs already set for "Detect the Language of Texts With Confidence Scores". [Sign up or log in](https://console.apify.com/create-task-from-example/AVeQEcBoTsZJtjHpN) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Detect the Language of Texts With Confidence Scores" task

The Language Detector: Detect Text Language in Bulk (API) Actor will start running based on the input automatically. You can also change all the input fields, like texts, dataset field, and more, to match your specific use case.

### 3. Receive the "Detect the Language of Texts With Confidence Scores" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as text, page url, language, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Detect the Language of Texts With Confidence Scores" task via API](https://apify.com/data-done-right/language-detector.md).

## About this Actor

This example demonstrates how to use [Language Detector: Detect Text Language in Bulk (API)](https://apify.com/data-done-right/language-detector.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data-done-right/language-detector.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/data-done-right/language-detector.md

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`).