Frame.io is a video collaboration platform that allows teams to manage, review, and comment on video assets efficiently. With Relevance AI, you can elevate your video projects by leveraging AI-driven insights and automation to optimize your workflows.
Frame.io provides a robust platform for video asset management and collaboration. Relevance AI amplifies this by enabling AI Agents to automate tasks, streamline feedback, and enhance project workflows.
Seamless Asset Orchestration
AI agent dynamically manages and organizes video assets across projects, optimizing workflow efficiency through intelligent categorization and retrieval.
Real-time Collaboration Enhancement
Agent facilitates instant feedback loops by monitoring and routing comments, annotations, and revisions across team members with contextual awareness.
Automated Workflow Intelligence
Agent streamlines project pipelines by automatically creating, organizing, and maintaining project structures based on learned patterns and team preferences.
Relevance AI integrates seamlessly with Frame.io, enhancing your video collaboration workflows with intelligent automation.
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 Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Frame.io integration utilizes powerful APIs to facilitate seamless interaction with Frame.io's video collaboration platform, enabling automated video asset management, project creation, commenting, and search capabilities within your workflows. This integration streamlines video review and collaboration, automates project and asset management, and enhances feedback systems.
To get started, ensure you have a Frame.io account with administrative access and the necessary OAuth credentials for authentication. Your environment should support secure API communication and REST API calls, with JSON parsing capabilities.
Authentication is set up using your Frame.io account ID and the required permissions. The base configuration includes the API's base URL and headers for content type.
With the quick start guide, you can create projects, assets, add comments, and search for assets using straightforward API calls. Each operation is designed to be intuitive, allowing you to manage your video assets efficiently.
In case of issues, common troubleshooting steps include verifying OAuth credentials, checking asset IDs, and ensuring proper formatting for timestamps and queries. Error response codes provide clarity on any issues encountered during API interactions.
For best practices, always handle API responses with error checking, implement rate limiting, and use pagination for large asset searches. This ensures your workflows run smoothly and efficiently.
For further assistance or detailed API documentation, refer to the Frame.io developer portal or contact technical 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 Frame.io + Relevance AI integration without writing code:
- Start with a well-structured Frame.io account: Organize projects and assets with clear naming conventions and consistent metadata.
- Utilize automation templates: Relevance AI provides pre-built workflows for creating projects, uploading assets, and managing comments—perfect for quick setup.
- Connect with care: Ensure you authorize the correct Frame.io account and have the necessary permissions during integration setup.
- Test before scaling: Execute automations on sample projects first to identify potential issues before applying them to live data.
- Monitor API usage: Implement rate limiting and batch processing to avoid hitting API request limits and ensure smooth operation.
