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Build an AI Document Analyzer App with AI Pass SDK — Complete Tutorial

Eiliya · March 18, 2026 · 3 min read · tutorial

Build an AI Document Analyzer App with AI Pass SDK — Complete Tutorial

So you want to build an app that lets users upload documents and extract answers, summaries, or key data — all powered by AI. Good news: with the AI Pass SDK, you can have it running in under an hour.

This tutorial walks you through the full stack: from signing up to deploying a working document analyzer.

What You'll Build

A web app where users can:

  • Upload a PDF or text document
  • Ask questions about the document content
  • Get AI-powered summaries and extracted information

Prerequisites

  • An AI Pass account (sign up at aipass.one)
  • Basic HTML/JavaScript knowledge
  • A text editor

Step 1: Sign Up and Get Your Client ID

  1. Go to aipass.one and create an account
  2. Head to the Developer Dashboard → aipass.one/panel/developer.html
  3. Click OAuth2 Clients → Create New Client
  4. Give it a name like "Document Analyzer App"
  5. Copy your Client ID (looks like client_XXXX...)

This is your YOUR_CLIENT_ID — you'll use it to initialize the SDK.

Step 2: Load the AI Pass SDK

Add this to your HTML:

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>AI Document Analyzer</title>
  <script src="https://aipass.one/aipass-sdk.js"></script>
</head>
<body>
  <div id="app">
    <h1>AI Document Analyzer</h1>
    <textarea id="docContent" rows="10" placeholder="Paste your document content here..."></textarea>
    <input type="text" id="question" placeholder="Ask a question about the document..." />
    <button onclick="analyzeDoc()">Analyze</button>
    <div id="result"></div>
  </div>

  <script>
    AiPass.initialize({
      clientId: 'YOUR_CLIENT_ID',
      requireLogin: true,
      darkMode: true
    });

    async function analyzeDoc() {
      const docContent = document.getElementById('docContent').value;
      const question = document.getElementById('question').value;

      if (!docContent) {
        alert('Please paste your document content first');
        return;
      }

      const prompt = question 
        ? `Document:
${docContent}

Question: ${question}

Answer based on the document:`
        : `Document:
${docContent}

Provide a clear summary with key points, important dates/numbers, and main conclusions:`;

      const result = await AiPass.generateCompletion({
        model: 'gpt-5-mini',
        temperature: 1,
        max_tokens: 16000,
        messages: [
          {
            role: 'system',
            content: 'You are an expert document analyst. Extract key information, answer questions accurately, and provide clear summaries. Be precise and cite specific sections when relevant.'
          },
          {
            role: 'user',
            content: prompt
          }
        ]
      });

      document.getElementById('result').innerHTML = 
        '<h3>Analysis:</h3><pre>' + result.choices[0].message.content + '</pre>';
    }
  </script>
</body>
</html>

Step 3: Handle File Uploads (Optional Enhancement)

To let users upload actual PDF files, you can extract text client-side using PDF.js:

<script src="https://cdn.jsdelivr.net/npm/pdfjs-dist@3.4.120/build/pdf.min.js"></script>
<input type="file" id="fileInput" accept=".pdf,.txt" onchange="loadFile(event)" />

<script>
async function loadFile(event) {
  const file = event.target.files[0];
  if (!file) return;

  if (file.type === 'application/pdf') {
    const arrayBuffer = await file.arrayBuffer();
    const pdf = await pdfjsLib.getDocument(arrayBuffer).promise;
    let text = '';
    for (let i = 1; i <= pdf.numPages; i++) {
      const page = await pdf.getPage(i);
      const content = await page.getTextContent();
      text += content.items.map(item => item.str).join(' ') + '
';
    }
    document.getElementById('docContent').value = text;
  } else {
    document.getElementById('docContent').value = await file.text();
  }
}
</script>

Step 4: Deploy Your App

Option A: Self-Host Upload your HTML file to any web host — GitHub Pages, Netlify, Vercel, or your own server. It's a single static file with no backend needed.

Option B: Publish on AI Pass Catalog

  1. Go to your Developer Dashboard
  2. Click Apps → Create New App
  3. Select Hosted App and paste your HTML content
  4. Click Publish — your app goes live at aipass.one/apps/your-app-name

Users who sign up through your app generate API call revenue. You earn 50% commission on every API call your users make.

How It Works

When a user clicks "Analyze":

  1. The SDK checks if the user is logged in (shows auth screen if not, because requireLogin: true)
  2. The document content + question gets sent to GPT-5-mini
  3. The model returns a precise answer or summary
  4. Revenue is tracked — you earn 50% of the API cost

SDK Method Reference

// generateCompletion response structure
const result = await AiPass.generateCompletion({ ... });
result.choices[0].message.content  // The AI response text

// generateImage response structure  
const img = await AiPass.generateImage({ ... });
img.data[0].url  // The image URL

Embed Your App

Want to add it to an existing website? Every AI Pass app has an embed option. Click the </> button at the bottom-right of your app page to get the iframe code.

What to Build Next

  • Add support for comparing two documents side-by-side
  • Let users save and revisit previous analyses
  • Add export to PDF or email

Try the live version: AI Document Analyzer →

Related reading:

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