Identify language of product description using AI

Below is a free classifier to identify language of product description. Just input your text, and our AI will predict the category of the product description - in just seconds.

language of product description identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("language-of-product-description", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/language-of-product-description/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_text_here"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_text_here"}' \
        https://www.nyckel.com/v1/functions/language-of-product-description/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict the category of the product description.

This pretrained text model uses a Nyckel-created dataset and has 31 labels, including Arabic, Bengali, Czech, Danish, Dutch, English, Filipino, Finnish, French and German.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the category of the product description).

Whether you're just curious or building language of product description detection into your application, we hope our classifier proves helpful.

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Need to identify language of product description at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Multilingual E-commerce Optimization: This function can be used by e-commerce platforms to automatically identify the language of product descriptions. By doing so, the platform can tailor user experiences, offer localized content, and improve search engine optimization in different languages, ultimately increasing conversion rates.

  • Targeted Marketing Campaigns: Marketing teams can leverage this language identification function to segment their audience based on language preferences. This enables the creation of targeted campaigns, enhancing customer engagement and improving response rates, especially in multilingual regions.

  • Quality Control in Content Creation: Content creators and editors can utilize this function to ensure that product descriptions match the intended language before publishing. By identifying any discrepancies, the organization can maintain consistency and quality in their multilingual marketing materials.

  • Automated Translation Services: Businesses offering translation services can integrate this function to identify the original language of product descriptions that need translation. This streamlines the translation process, allowing for accurate and efficient conversion of content across multiple languages.

  • Customer Support Enhancement: Customer support teams can use this language identifier to understand the language of customer inquiries related to product descriptions. By accurately determining customer language, support teams can provide assistance in the appropriate language, leading to improved customer satisfaction.

  • Data Analytics and Insights: Analytics teams can analyze the language distribution of product descriptions across an inventory. This data can inform decisions on which languages to prioritize based on customer demographics and sales performance, guiding future inventory and marketing strategies.

  • Product Accessibility Compliance: Companies can utilize the language identification function to ensure compliance with accessibility regulations in different regions. By identifying the language of product descriptions, businesses can make necessary adjustments to meet legal requirements for language accessibility, ensuring all customers can access product information.

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