Integrations

Supercharge Filestack with Relevance AI

Filestack is an integration platform that provides advanced image processing and file handling through a simple API. Enhance your image workflows with Relevance AI, enabling AI Agents to automate and optimize image transformations effortlessly.

Give your AI Agents Filestack Superpowers

Filestack offers robust image manipulation and file handling features. With Relevance AI, you can leverage these capabilities to create intelligent workflows that automatically process and transform images based on your specific needs.

Intelligent Content Orchestration

The AI agent gains advanced capabilities to automate complex file processing workflows and transformations at scale.

Secure Data Handling

Equips the agent with HIPAA-compliant security protocols and encryption for sensitive file management.

Dynamic Workflow Adaptation

Allows the agent to create and modify content processing pipelines based on real-time requirements and conditions.

Tools

Equip AI Agents with the Filestack Tools they need

Relevance AI seamlessly integrates Filestack's powerful image processing capabilities into your workflows.

FileStack - Filter Image
Applies various visual filters and effects to images including sharpening, blur, monochrome, black and white, sepia, pixelation, oil paint, and negative effects
FileStack - Rotate Image
Rotates an uploaded image by a specified number of degrees in clockwise direction, supporting rotation angles from 0 to 359 degrees
FileStack - Rotate Image
Rotates an uploaded image by a specified number of degrees in clockwise direction, supporting rotation angles from 0 to 359 degrees
FileStack - Upload Image
Uploads images to FileStack service from either a local file path or direct URL, enabling further image processing operations
FileStack - Resize Image
Resizes images to specified dimensions using various modes including clip, crop, max, and scale, while maintaining or adjusting aspect ratios as needed
Name
FileStack API Call
Description
Make an authorized request to a FileStack API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Configurable request body"]
Use Case
A digital asset management team uses FileStack API Call to automatically process and transform thousands of product images upon upload, applying consistent sizing and compression settings while maintaining version control through FileStack's API endpoints.

Security & Reliability

The Filestack integration utilizes a straightforward API interface to enable powerful image processing and file handling capabilities. With secure OAuth authentication, only authorized workflows can access your image data, ensuring a streamlined experience.

Relevance AI manages API operations (like uploading, resizing, filtering, and rotating images) in the background, allowing developers to focus on building features without worrying about errors, formatting, or limits.

Built-in validation and type conversion ensure that your image processing tasks run smoothly, even when dealing with various image formats and sizes.

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 Filestack + Relevance AI integration without writing code:
  • Start with clear image requirements: Define the necessary image formats, sizes, and transformations needed for your application.
  • Utilize built-in features: Leverage Filestack's pre-built image processing capabilities like resizing, filtering, and rotating to streamline your workflow.
  • Configure OAuth carefully: Ensure you set up the correct OAuth credentials and permissions to avoid authentication issues.
  • Test image uploads and transformations: Validate your API calls with sample images to ensure everything works as expected before going live.
  • Monitor API usage: Keep an eye on your API calls and implement caching strategies to optimize performance and reduce costs.