Integrations

Supercharge Google Photos with Relevance AI

Google Photos is a powerful platform for storing, organizing, and sharing your media. Relevance AI enhances this experience by enabling AI Agents to automate tasks and provide insights, making your media management more efficient.

Give your AI Agents Google Photos Superpowers

Google Photos offers robust capabilities for managing and sharing media. With Relevance AI, you can automate these processes, allowing your AI Agents to intelligently organize and retrieve your photos and albums.

Visual Intelligence Mastery

Harnesses Google's advanced image recognition to understand and analyze visual content with exceptional accuracy

Smart Content Orchestration

Automates complex photo organization workflows through intelligent categorization and dynamic album creation

Seamless Asset Discovery

Leverages natural language processing to instantly locate specific images across vast photo libraries

Tools

Equip AI Agents with the Google Photos Tools they need

Relevance AI seamlessly integrates with Google Photos, enabling you to enhance your media workflows with intelligent AI Agents.

Google Photos - List Library Contents
Retrieves and displays a comprehensive list of all photos, videos, and media items stored in a Google Photos library
Google Photos - Share Album
Creates a shareable link for a Google Photos album with configurable collaboration and commenting permissions
Google Photos - Share Album
Creates a shareable link for a Google Photos album with configurable collaboration and commenting permissions
Google Photos - Create Album
Creates a new album in Google Photos with a specified title to organize media content
Google Photos - Get Media Item
Retrieves detailed information about a specific media item (photo or video) from Google Photos using its unique identifier
Google Photos - Upload Item
Uploads a new media file to Google Photos with options to specify filename, description, and target album
Google Photos - Add Items To Album
Adds multiple existing media items to a specified album in Google Photos using their unique identifiers
Name
Google Photos API Call
Description
Make an authorized request to a Google Photos API
Parameters
["OAuth account authentication", "Multiple base URL support", "HTTP method selection", "Custom headers", "Request body configuration"]
Use Case
A photo editing app uses this integration to automatically sync edited photos back to customers' Google Photos libraries, maintaining their photo organization while adding professional editing capabilities. The API call handles both upload and metadata updates seamlessly.

Security & Reliability

The integration enables seamless interaction with Google Photos through powerful API endpoints, allowing developers to manage photos, albums, and media items programmatically. With secure OAuth 2.0 authentication, only authorized workflows can access your Google Photos data. Relevance AI handles API operations (like creating albums, uploading media, and sharing albums) in the background—so you don’t have to worry about errors, formatting, or limits.

Automated photo management and organization, secure album sharing, and bulk media upload capabilities streamline your media handling, ensuring your workflows run smoothly. Built-in validation and type conversion ensure compatibility, even when data formats vary.

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 Google Photos + Relevance AI integration without writing code:
  • Organize your albums: Create clear and descriptive album titles to facilitate easy access and management.
  • Utilize bulk uploads: Take advantage of the bulk media upload capabilities to streamline your photo management process.
  • Share thoughtfully: Set appropriate sharing permissions for albums to control collaboration and access.
  • Test API calls: Use test data to validate your API calls before implementing them in a live environment.
  • Monitor API usage: Keep an eye on your API quota and implement caching strategies to optimize performance.