# Detect Mixed Languages Inside a Single Text

**Use case:** 

Find every language used inside one multilingual text and see which part is which. This example uses a message that mixes English, French and German. Replace it with your own social posts, chats or support emails.

## Input

```json
{
  "texts": [
    "Thanks for your order, we will ship it tomorrow. Merci beaucoup pour votre patience, nous restons à votre disposition pour toute question. Vielen Dank für Ihr Vertrauen in unser Unternehmen."
  ],
  "datasetField": "text",
  "detectMixed": true,
  "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 Mixed Languages Inside a Single Text". [Sign up or log in](https://console.apify.com/create-task-from-example/hyvAJWoDUEl4lKqK3) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Detect Mixed Languages Inside a Single Text" 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 Mixed Languages Inside a Single Text" 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 Mixed Languages Inside a Single Text" 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`).