Integrations

Supercharge Fireflies with Relevance AI

Fireflies.ai is a powerful tool for meeting transcription and analysis, allowing users to upload audio files and retrieve transcripts effortlessly. With Relevance AI, you can leverage these capabilities to create dynamic workflows that enhance productivity and collaboration.

Give your AI Agents Fireflies Superpowers

Fireflies.ai automates meeting transcription and analysis, providing real-time insights. Relevance AI amplifies this by enabling intelligent AI Agents to act on these insights, streamlining decision-making and follow-ups.

Conversation Mastery

The agent gains deep understanding of human interactions through advanced meeting analytics and sentiment analysis

Knowledge Orchestration

Seamlessly organizes and synthesizes meeting insights across teams to drive informed decision-making

Predictive Intelligence

Leverages historical meeting data to anticipate needs and proactively suggest relevant actions

Tools

Equip AI Agents with the Fireflies Tools they need

Relevance AI seamlessly integrates Fireflies.ai into your workflows, enhancing meeting management and transcription processes.

Fireflies - Find Recent Meeting
Retrieves the most recent meeting details from Fireflies.ai for a specified user, allowing access to transcripts and conversation data
Fireflies - Find Meeting by ID
Fetches specific meeting information from Fireflies.ai using a unique meeting identifier, enabling targeted access to conversation transcripts and analytics
Fireflies - Find Meeting by ID
Fetches specific meeting information from Fireflies.ai using a unique meeting identifier, enabling targeted access to conversation transcripts and analytics
Fireflies - Upload Audio
Uploads and processes audio files to Fireflies.ai for transcription, supporting multiple audio formats and webhook notifications upon completion
Name
Fireflies API Call
Description
Make an authorized request to a Fireflies API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A sales team uses Fireflies API to automatically fetch and analyze meeting transcripts, enabling them to extract key customer insights and action items without manual review. This integration streamlines their follow-up process by programmatically accessing conversation data and meeting summaries.
Quick Start

Connect Fireflies to Relevance AI in minutes

Security & Reliability

This integration enables secure OAuth authentication, ensuring that only authorized workflows can access your Fireflies.ai meeting transcription and analysis capabilities. Relevance AI manages API operations (like uploading audio files, retrieving meeting transcripts, and managing meeting data) in the background—so you don’t have to worry about errors, formatting, or limits.

With built-in validation and type conversion, your workflows run smoothly, even when dealing with various audio formats and data types. This integration is ideal for automated workflow systems and enterprise applications, providing seamless interaction with Fireflies.ai through a RESTful API interface.

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 Fireflies.ai + Relevance AI integration without writing code:
  • Use secure audio URLs: Ensure that the audio files you upload are hosted on secure, persistent URLs to avoid access issues.
  • Provide descriptive titles: When uploading audio files, include clear and descriptive meeting titles to facilitate easy identification later.
  • Implement error handling: Always check and handle responses from the API to manage upload failures or authentication errors effectively.
  • Utilize webhooks wisely: Set up webhook endpoints to receive real-time updates and implement retry logic for any failed webhook notifications.
  • Monitor API usage: Log all API interactions and cache frequently accessed meeting data to optimize performance and troubleshoot issues.