Integrations

Supercharge Bannerbear with Relevance AI

Bannerbear is a powerful tool for automated image and video generation, allowing users to create and manage visual content programmatically. Enhance your media generation capabilities with Relevance AI's intelligent automation and AI Agents.

Give your AI Agents Bannerbear Superpowers

Bannerbear empowers users to generate dynamic images, videos, and GIFs through a robust API. With Relevance AI, you can leverage intelligent AI Agents to automate and optimize your visual content creation processes.

Visual Content Orchestration

Dynamically generate and coordinate visual assets across multiple channels with automated precision and brand consistency

Automated Brand Expression

Maintain perfect brand consistency while scaling visual content production through template-driven automation

Multi-Format Content Mastery

Seamlessly create and modify images, GIFs, and videos based on conversation context and user needs

Tools

Equip AI Agents with the Bannerbear Tools they need

Relevance AI seamlessly integrates with Bannerbear to enhance your automated visual content workflows.

Bannerbear - Create Animated Gif
Creates animated GIF images by combining multiple frames with custom modifications, timing controls, and optional video input integration
Bannerbear - Create an Image
Generates static images using templates with customizable modifications and text overlays
Bannerbear - Create an Image
Generates static images using templates with customizable modifications and text overlays
Bannerbear - Approve Video
Approves and initiates the rendering process for previously created video content
Bannerbear - Edit Video
Modifies existing videos by editing transcriptions and managing approval status
Bannerbear - Create Video
Generates video content with customizable templates, modifications, zoom effects, and trimming capabilities
Bannerbear - Create Collection
Creates collections of related images using template sets with custom modifications and transparency options
Name
Bannerbear API Call
Description
Make an authorized request to a Bannerbear API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling"]
Use Case
A marketing agency uses Bannerbear API calls to automate the generation of social media visuals for multiple clients, making HTTP requests to create and modify templates programmatically while managing authentication and responses through a single integration point.

Security & Reliability

The Bannerbear + Relevance AI integration enables automated image and video generation through secure API authentication, allowing you to programmatically create and manage visual content at scale. Relevance AI handles the complex API operations in the background—managing template modifications, webhook events, and media processing—so you can focus on building powerful visual automation workflows.

Built-in validation ensures proper handling of image and video modifications, while automatic type conversion and error handling maintain smooth operations across different content formats and template configurations.

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 Bannerbear + Relevance AI integration without writing code:
  • Start with clear templates: Ensure your Bannerbear templates are well-structured with clear layer names for easy modifications.
  • Utilize batch processing: When generating multiple images or videos, use batch processing to optimize API calls and reduce overhead.
  • Set up webhooks wisely: Configure webhooks to handle events efficiently, ensuring your endpoint is publicly accessible and supports HTTPS.
  • Test with sample data: Before deploying at scale, test your image and video generation with sample data to catch any issues early.
  • Monitor API usage: Keep an eye on your API rate limits and implement exponential backoff for retries to avoid throttling.