# Supported Languages

Extracta LABS is dedicated to breaking language barriers in document extraction, offering robust support for a diverse range of languages. Our advanced AI algorithms are designed to accurately parse and extract information from documents in multiple languages, ensuring that businesses worldwide can leverage our technology.

## Language Parameter

When creating an extraction request, specify the language of your document using the `language` parameter in the extraction details. This helps tailor the extraction process to the linguistic nuances of the content, enhancing accuracy and efficiency.

```json
{
  "extractionDetails": {
    "language": "Multi-Lingual"
  }
}
```

## Currently Supported Languages

Below is a list of languages currently supported by Extracta LABS. Use the corresponding string when specifying the language in your extraction requests.

Arabic, Bangla, Bulgarian, Croatian, Czech, English, Filipino, French, German, Hindi, Hungarian, Italian, Nepali, Polish, Portuguese, Romanian, Russian, Serbian, Spanish, Turkish, Ukrainian, Urdu, and Vietnamese.

#### We are also excited to announce the addition of **'Multi-Lingual'** support. This new feature allows for the processing of documents in any language, ensuring that Extracta LABS can handle your documents regardless of the language used. This enhancement makes our platform even more versatile and accommodating to diverse linguistic needs.

<table><thead><tr><th>Language</th><th width="225"></th><th></th></tr></thead><tbody><tr><td>Arabic</td><td>German</td><td>Russian</td></tr><tr><td>Bangla</td><td>Hindi</td><td>Serbian</td></tr><tr><td>Bulgarian</td><td>Hungarian</td><td>Spanish</td></tr><tr><td>Croatian</td><td>Italian</td><td>Turkish</td></tr><tr><td>Czech</td><td>Nepali</td><td>Ukrainian</td></tr><tr><td>English</td><td>Polish</td><td>Urdu</td></tr><tr><td>Filipino</td><td>Portuguese</td><td>Vietnamese</td></tr><tr><td>French</td><td>Romanian</td><td><strong>Multi-Lingual</strong></td></tr></tbody></table>

{% content-ref url="/pages/Kr8TtNYErc3zJQQ68V7K" %}
[1. Create extraction](/data-extraction-api/api-endpoints-data-extraction/1.-create-extraction.md)
{% endcontent-ref %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.extracta.ai/data-extraction-api/extraction-details/supported-languages.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.