TinyPNG is a powerful image optimization tool that compresses and resizes images without sacrificing quality. With Relevance AI, you can automate these processes, ensuring your images are always optimized for performance and visual appeal.
TinyPNG utilizes advanced compression technology to significantly reduce image file sizes while preserving quality. Relevance AI leverages this capability to automate image handling, enabling intelligent workflows that optimize visual content effortlessly.
Visual Intelligence Mastery
The AI agent gains advanced capabilities to analyze and optimize images while preserving critical visual elements
Automated Quality Orchestration
Enables intelligent decision-making for optimal compression levels across diverse image types and use cases
Performance Intelligence
Enables the agent to make strategic decisions balancing visual quality with loading speed requirements
Relevance AI integrates seamlessly with TinyPNG to enhance your image optimization workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A TinyPNG account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
This integration enables automated image optimization and resizing through TinyPNG's powerful compression API, seamlessly integrated with Relevance AI's platform. You can automatically compress and resize images while maintaining visual quality, achieving file size reductions of up to 80%.
Key benefits include automated image optimization, multiple resize methods (scale, fit, cover, thumb), secure OAuth authentication, RESTful API integration, and lossless compression technology.
To get started, ensure you have a TinyPNG Developer Account and a Relevance AI Account with API access. Your environment should support HTTPS, REST API calls, and JSON parsing, with a minimum of 256MB RAM for processing.
Set up OAuth authentication by configuring your OAuth credentials and basic API configuration. You can then make API calls for basic image compression and resizing using the provided methods.
Common issues include authentication errors, rate limit exceeded, invalid image format, and resize operation failures. Always handle API responses and errors gracefully, implement retry logic for failed requests, and monitor API usage to stay within limits.
For additional support or questions, please refer to the TinyPNG API Documentation or contact support.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
