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Document Question Answering allows the extraction of specific information from text-based documents using a query.
Simply provide the text you want to search, and the system will use optical character recognition (OCR) technology to scan the document and extract the information you need.
Eden AI's Document QA API makes it easy to extract precise answers from documents.
You'll need an Eden AI account and API key.
With Eden AI's standardized API and ready-to-use code examples, most developers can integrate the feature in under an hour.

In this tutorial, you will learn how to use the Document Question Answering API in 5 minutes using JavaScript. Eden AI provides an easy and developer-friendly API that allows you to extract specific information from your documents.

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What is Document Question Answering API?

Document Question Answering allows the extraction of specific information from text-based documents using a query.

Simply provide the text you want to search, and the system will use optical character recognition (OCR) technology to scan the document and extract the information you need.

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Getting Started

1. Sign Up: Create a free account here to get your API key.

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Implementation in JavaScript

const axios = require('axios').default;
const options = {
  method: 'POST',
  url: 'https://api.edenai.run/v2/ocr/custom_document_parsing_async',
  headers: { Authorization: 'Bearer YOUR_API_TOKEN' },
  data: { providers: 'amazon', queries: "[{'query':'What is the total','pages':'1-*'}]", file_url: 'https://your-doc.com/invoice.pdf' }
};
axios.request(options).then(r => console.log(r.data)).catch(e => console.error(e));

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Conclusion

Eden AI's Document QA API makes it easy to extract precise answers from documents. Sign up free and start today!

FAQ — Extract Specific Information from Documents

You need an API key from your chosen AI provider. Eden AI lets you access multiple providers with a single key, removing the need for separate vendor accounts.

Any language that supports HTTP requests works — Python, JavaScript, PHP, Ruby, Go, and more. Ready-to-use code snippets are available for the most common languages.

Most developers complete a basic integration in under an hour using standardized API endpoints and ready-to-use code examples.

Implement exponential backoff for rate limit errors and use try-catch blocks for network failures. Eden AI's built-in fallback routing automatically redirects requests if a provider is unavailable.

Eden AI supports GDPR-compliant provider filtering and does not store or reuse your data, ensuring compliance with European privacy regulations.

Last updated onMay 22, 2026

Taha Zemmouri

Taha Zemmouri is the CEO and co-founder of Eden AI. With previous experience in AI consulting, he brings a strong business perspective to artificial intelligence and focuses on turning AI capabilities into practical value for companies. With a background in data science and a real entrepreneurial mindset, he combines technical understanding, business vision, and hands-on execution to make AI more accessible and easier to integrate.

How to Extract Specific Information from Documents Using Question Answering with JavaScript

What is Document Question Answering API?

Getting Started

Implementation in JavaScript

Conclusion

FAQ — Extract Specific Information from Documents

What do I need to Extract Specific Information from Documents Using Question Answering with JavaScript?

Which programming languages can I use?

How long does the integration take?

How do I handle errors and rate limits?

Is the data I send secure and GDPR-compliant?

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