REST API Documentation

Use this endpoint to convert PDF files to text programmatically.

{
  "file": "base64_encoded_pdf_content",
  "preserve_formatting": true
}

{
  "text": "Extracted text content...",
  "pages": 5,
  "file_size": 2048
}

Code Examples

import requests

url = "https://joat.tools/api/v1/text/pdf/extract"
data = {"file": pdf_base64, "preserve_formatting": True}
response = requests.post(url, json=data)
print(response.json()["text"])

const response = await fetch('/api/v1/text/pdf/extract', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    file: pdfBase64,
    preserve_formatting: true
  })
});
const result = await response.json();

MCP Server Integration

Use JOAT Tools with AI agents through the Model Context Protocol.

{
  "mcpServers": {
    "joat-tools": {
      "command": "npx",
      "args": ["@joat/mcp-server"],
      "env": {
        "JOAT_API_KEY": "your_api_key_here"
      }
    }
  }
}

Available Tools

• extract_pdf_text
  Extract text content from PDF files
  Tool
• convert_image_format
  Convert images between different formats
  Tool
• scrape_website
  Extract content and data from websites
  Tool