Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Integrations

Supercharge 0CodeKit with Relevance AI

Deep Image is a powerful AI-powered image processing platform that enables developers to enhance, upscale, and manipulate images programmatically. With Relevance AI, you can leverage these features to create dynamic and responsive image workflows.

Give your AI Agents 0CodeKit Superpowers

Deep Image empowers developers with advanced image enhancement and manipulation features. Relevance AI amplifies these capabilities by enabling intelligent workflows that can adapt and respond to your image processing needs.

Visual Intelligence Mastery

Empowers the agent with advanced computer vision capabilities for sophisticated image analysis and recognition

Adaptive Learning Enhancement

Leverages custom model training to continuously improve visual recognition accuracy for specific use cases

Real-time Visual Decision Making

Enables instant analysis and response to visual data through sophisticated API integration

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates Deep Image capabilities into your workflows, enhancing image processing tasks with AI-driven automation.

0codekit - Compress PDF
A tool for compressing PDF files by providing a URL to the source PDF and specifying the output filename, helping reduce file sizes while maintaining document quality
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
Name
0codekit API Call
Description
Make an authorized request to a 0codekit API
Parameters
["OAuth Authentication", "Multiple HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Support", "Response Status Tracking"]
Use Case
A software development team uses 0codekit API Call to automate their deployment process by making authenticated API requests to trigger builds and updates across their infrastructure. This integration streamlines their CI/CD pipeline by enabling secure, programmatic access to their development resources.

Security & Reliability

The integration utilizes a robust OAuth-based authentication system, ensuring that only authorized applications can access Deep Image's powerful image processing capabilities. Relevance AI manages API operations (such as image upscaling, auto-enhancement, and background removal) seamlessly in the background, allowing developers to focus on building their applications without worrying about errors or formatting issues.

With built-in validation and support for various image formats, the integration guarantees smooth processing of images, even when dealing with different resolutions and types. This ensures that your workflows are efficient and reliable, enhancing the overall user experience.

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.

Get Started

Best Practices for Non-Technical Users

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.