Vector Express v2.0 Getting Started Guide (2026)

Getting started overview

This guide outlines the process for new users to begin using Vector Express v2.0 for converting documents and images into vector formats. The steps cover account registration, API key retrieval, and executing a foundational API request. Vector Express v2.0 provides APIs for converting formats such as PDF to SVG or DXF, and images to SVG or DXF, including an AI Vectorizer for advanced image processing applications Vector Express documentation portal.

The core workflow involves:

1. Registering for a Vector Express account.
2. Generating and securing API credentials.
3. Making an authenticated API call using your preferred programming language or a command-line tool.

Vector Express offers official SDKs for Node.js, Python, Go, and Ruby to streamline development Vector Express SDK information.

Quick Reference Table

Create an account and get keys

To begin utilizing Vector Express v2.0, you must first register for an account. A free tier is available, providing 50 API calls per month, which is sufficient for initial testing and development Vector Express pricing details.

Account Registration

1. Navigate to the Vector Express homepage.
2. Click on the "Sign Up" or "Get Started Free" button.
3. Provide the required information, typically an email address and a strong password.
4. Complete any necessary email verification steps.

Obtaining API Credentials

Upon successful registration and login:

1. Access your Vector Express dashboard.
2. Locate the "API Keys" section, usually found under "Settings" or "Developer."
3. Your unique API key will be displayed. This key authenticates your requests to the Vector Express API.
4. Security Best Practice: Treat your API key as sensitive information. Do not embed it directly in client-side code, commit it to public repositories, or share it unnecessarily. Environment variables or secure configuration management are recommended for storing API keys in production environments, as outlined in general API security guidelines AWS access key best practices.
5. Vector Express may also provide a "Secret Key" or "Client Secret" in addition to the public API key. Ensure both are handled securely if provided.

Your first request

After acquiring your API key, the next step is to make an authenticated call to a Vector Express endpoint. This example demonstrates converting an image file to SVG using a common programming language. For specific endpoint details and optional parameters, refer to the Vector Express API reference documentation.

Prerequisites

• Your Vector Express API key.
• A programming environment (e.g., Node.js, Python) with curl or an HTTP client library installed.
• A sample image file (e.g., input.png) to convert.

Example using Python SDK

First, install the Python SDK:

pip install vector-express-sdk

Then, create a Python script (e.g., convert_image.py):

import os
from vector_express_sdk import VectorExpressClient

# Replace with your actual API Key
api_key = os.environ.get("VECTOR_EXPRESS_API_KEY")

if not api_key:
    print("Error: VECTOR_EXPRESS_API_KEY environment variable not set.")
    exit()

client = VectorExpressClient(api_key)

input_file_path = "input.png" # Path to your input image file
output_file_path = "output.svg" # Desired path for the output SVG file

try:
    with open(input_file_path, "rb") as f:
        response = client.image.to_svg(file=f, filename="input.png")

    if response.status_code == 200:
        with open(output_file_path, "wb") as out_f:
            out_f.write(response.content)
        print(f"Successfully converted '{input_file_path}' to '{output_file_path}'")
    else:
        print(f"Error converting image: Status {response.status_code}, Response: {response.text}")

except FileNotFoundError:
    print(f"Error: Input file '{input_file_path}' not found.")
except Exception as e:
    print(f"An unexpected error occurred: {e}")

To run this example:

1. Save your API key as an environment variable: export VECTOR_EXPRESS_API_KEY="YOUR_API_KEY_HERE" (Linux/macOS) or $env:VECTOR_EXPRESS_API_KEY="YOUR_API_KEY_HERE" (PowerShell).
2. Place a input.png file in the same directory as your script.
3. Execute the script: python convert_image.py.

Example using cURL

For a quick test without an SDK, you can use curl:

curl -X POST \ 
  https://api.vector.express/v2/image/to-svg \ 
  -H "X-API-Key: YOUR_API_KEY_HERE" \ 
  -F "file=@/path/to/your/input.png" \ 
  -o output.svg

Replace YOUR_API_KEY_HERE with your actual API key and /path/to/your/input.png with the correct path to your image file. The -o output.svg flag saves the response directly to a file named output.svg.

Common next steps

Once you have successfully executed your first request, consider these common next steps for integrating Vector Express v2.0 into your applications:

• Explore Other Endpoints: Review the API reference for other conversion types, such as PDF to DXF, or the advanced AI Vectorizer for more complex image-to-vector transformations.
• Error Handling: Implement robust error handling in your code to manage API errors, rate limits, and network issues. The API typically returns standard HTTP status codes and JSON error bodies MDN HTTP response status codes.
• Webhook Integration: For asynchronous conversions or larger files, investigate if Vector Express offers webhook capabilities to notify your application upon completion of a conversion process. This can improve user experience by preventing long waits for synchronous responses.
• Scalability and Production Deployment: Plan for scaling your integration. This may involve optimizing file uploads, managing API rate limits, and securing your API keys in a production environment.
• Testing: Develop automated tests for your integration to ensure it functions correctly across different file types and sizes.
• Monitoring: Set up monitoring for your API calls to track usage, identify performance bottlenecks, and detect potential issues proactively.

Troubleshooting the first call

Encountering issues during your initial API call is common. Here are some troubleshooting steps:

• Invalid API Key: Double-check that your API key is correct and has not been truncated or altered. An incorrect key will typically result in a 401 Unauthorized or 403 Forbidden HTTP status code.
• Missing API Key Header: Ensure the X-API-Key header is correctly included in your request, as demonstrated in the cURL example. SDKs usually handle this automatically once initialized with the key.
• Incorrect Endpoint URL: Verify that the API endpoint URL matches the one specified in the Vector Express API reference. Typos can lead to 404 Not Found errors.
• File Path Issues: If you are uploading a file, confirm that the file path is correct and that the process executing the script has read access to the file. A FileNotFoundError often indicates this.
• File Size Limits: Check the Vector Express documentation for any file size limitations. Attempting to upload files exceeding these limits may result in errors or timeouts.
• Network Connectivity: Ensure your development environment has stable internet connectivity and is not blocked by a firewall from accessing api.vector.express.
• Syntax Errors in Code/cURL: Carefully review your code or cURL command for any syntax errors, misplaced quotes, or incorrect parameter formatting.
• Review API Response: Always inspect the HTTP status code and the response body. Vector Express typically provides descriptive error messages in JSON format which can help pinpoint the problem.
• Consult Documentation: If issues persist, refer to the Vector Express official documentation or support channels for more specific guidance.