Recall.ai

Recall.ai is the definitive infrastructure API for programmatically capturing meeting data. It provides developers and product teams with a unified, robust interface to access high-fidelity recordings, transcripts, and granular metadata from video conferencing platforms like Zoom, Microsoft Teams, Google Meet, and Slack Huddles. The core value proposition is eliminating the immense development overhead and maintenance burden of building in-house integrations with each platform's distinct and often changing APIs and SDKs. By handling the complex infrastructure, real-time media processing, and compliance nuances, Recall.ai allows companies to integrate enterprise-grade meeting intelligence into their applications in days, not months. It is engineered for technical teams building conversation intelligence platforms, AI sales assistants, coaching tools, internal meeting analytics, and any product that requires reliable access to meeting content. With a recent $38M Series B funding round and a proven infrastructure powering over 3,000 tools, Recall.ai offers a scalable, secure, and vendor-agnostic solution to transform meeting conversations into structured, actionable data.

Meeting Bot API

This feature enables recording via a programmable bot that joins meetings as a participant. It is the optimal solution for scenarios requiring explicit recording consent or for building interactive AI agents that can participate in the call. The bot can be configured to handle consent workflows, capture separate audio/video streams for each participant, send and read chat messages, and display images, providing full programmatic control over the meeting experience directly through the API.

Desktop Recording SDK

For a seamless, non-intrusive recording experience, the Desktop Recording SDK allows capture directly from a user's desktop application without a bot joining the call. This is ideal for stealthier applications like personal productivity assistants or internal tools where a visible bot is not desired. It handles the local capture of audio, video, and screenshare data, then securely streams it to Recall.ai's infrastructure for processing, transcription, and storage.

Comprehensive Data Extraction

The API delivers over 100 structured data points from every meeting. This includes perfect speaker-diaried transcripts (both real-time and async), individual MP4 recordings, participant identifiers and emails, separate audio/video streams per participant, screenshare content, chat logs, and rich meeting metadata. This granular data suite provides the foundational layer for advanced conversation analysis and AI model training.

Enterprise-Grade Security & Compliance

Recall.ai is built with enterprise security as a priority, holding SOC 2 Type II, ISO 27001, HIPAA, GDPR, and CCPA compliance certifications. It offers secure data handling, encrypted storage, and features like recording consent management to ensure deployments meet stringent legal and regulatory requirements across industries like healthcare, legal, and finance.

Conversation Intelligence Platforms

Product teams building sales enablement or customer success software use Recall.ai to seamlessly ingest meeting data from various sources. This powers features like automated conversation analytics, sentiment tracking, keyword spotting, and competitive intelligence, allowing their end-users to derive insights from customer interactions without manual note-taking.

AI-Powered Meeting Assistants

Developers creating AI agents, scribes, or notetakers integrate the Meeting Bot API to have a virtual participant join calls. This agent can generate real-time summaries, extract action items, answer questions based on the discussion, and manage post-meeting workflows, dramatically enhancing meeting productivity and follow-through.

Internal Coaching & Quality Assurance

Organizations in sales, customer support, and hiring utilize Recall.ai to securely record and transcribe internal meetings or customer calls. Coaches and managers can then review interactions for training, ensure compliance with scripts, and maintain quality standards at scale, using the structured transcripts and recordings for targeted feedback.

Product-Led Growth & Analytics

SaaS companies embed the Desktop Recording SDK to offer native meeting recording as a feature within their own platform. This creates a new revenue stream, increases product stickiness, and provides valuable usage data. Engineering teams avoid the complexity of maintaining multiple platform integrations by leveraging Recall.ai's unified API.

What meeting platforms does Recall.ai support?

Recall.ai provides comprehensive API support for all major video conferencing platforms, including Zoom, Microsoft Teams, Google Meet, and Slack Huddles. This multi-platform compatibility ensures developers can build a unified meeting data pipeline regardless of which platform their end-users prefer, future-proofing their application against vendor lock-in.

How does the Meeting Bot API handle recording consent?

The Meeting Bot API is designed for explicit consent workflows. The bot can be programmed to announce its presence, request consent via chat or audio, and only begin recording upon receiving confirmation. This makes it ideal for customer-facing applications where compliance with recording laws and regulations (like two-party consent states) is critical.

What is the difference between the Bot API and the Desktop SDK?

The Meeting Bot API involves a bot joining the call as a participant, which is best for interactive agents and explicit consent. The Desktop Recording SDK captures media locally from the user's machine without a bot in the call, offering a more transparent user experience for personal productivity or internal tools. The choice depends on your specific use case and user experience requirements.

Can I get real-time data streams from meetings?

Yes, Recall.ai's API provides low-latency, real-time streams for audio, video, and transcripts as the meeting happens. This enables the development of live features such as real-time translation, live captioning, instantaneous sentiment analysis, and interactive AI agents that can respond to the conversation as it unfolds.