Recall.ai

Recall.ai's API continuously captures and improves meeting data for your tools.

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Published on:

October 17, 2025

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Recall.ai application interface and features

About Recall.ai

Recall.ai is the definitive API infrastructure for capturing meeting intelligence, designed to accelerate the development cycle for conversation-aware applications. It provides developers and companies with a powerful, unified platform to programmatically access recordings, transcripts, and rich metadata from major meeting platforms like Zoom, Microsoft Teams, Google Meet, and Slack Huddles. The core mission is to eliminate the immense complexity, development time, and ongoing maintenance required to build in-house meeting recording and transcription systems from scratch. By handling the intricate challenges of video conferencing protocols, real-time data processing, and scalability, Recall.ai allows product and engineering teams to focus their efforts on creating unique value and refining their core applications. This infrastructure enables a continuous cycle of product improvement and innovation, trusted by thousands of companies to add sophisticated conversation intelligence features in days instead of months. Whether for sales enablement, productivity tools, hiring platforms, or internal AI assistants, Recall.ai turns meeting data into a reliable, actionable foundation for the next generation of software.

Features of Recall.ai

Unified Meeting Bot API

The Meeting Bot API sends a dedicated bot participant into video calls to capture high-fidelity data. This feature is ideal for scenarios requiring explicit recording consent or for building interactive AI meeting agents that can participate. It provides seamless, reliable access to real-time audio, video, transcripts, and participant metadata without forcing end-users to install any software, streamlining the integration process for web applications and enabling rapid iteration on live meeting features.

Desktop Recording SDK

For applications requiring a stealthier, bot-free recording experience, the Desktop Recording SDK allows developers to build native desktop applications that capture meeting content directly from a user's system. This is perfect for note-taking assistants, personal productivity tools, or internal coaching software where a visible bot might be intrusive. It handles the complexities of capturing system audio and video, providing the same rich data outputs as the Bot API but through a local, installed application.

Comprehensive Data Extraction

Recall.ai delivers over 100 structured data points from every meeting, transforming raw video into actionable intelligence. This includes 100% accurate diarized transcripts (attributing speech to each participant), separate audio and video streams per participant, screenshare content, chat messages, participant emails, and rich meeting metadata. This depth of data provides the complete context needed to build powerful analytics, summaries, and AI-driven insights, fueling a cycle of continuous product enhancement.

Enterprise-Grade Security & Compliance

Built for business-critical applications, Recall.ai ensures data is handled with the highest security standards. The platform is SOC 2 Type II certified, compliant with ISO 27001, HIPAA, GDPR, and CCPA. Features like recording consent flows, secure data transmission, and robust access controls allow enterprises to deploy meeting intelligence confidently at scale, knowing their infrastructure partner prioritizes security and enables continuous compliance improvement.

Use Cases of Recall.ai

Sales Enablement & Coaching

Revenue and sales operations teams use Recall.ai to power conversation intelligence platforms that analyze sales calls. By automatically capturing recordings and transcripts, coaches can provide data-driven feedback, identify winning behaviors, and track key talk points. This creates a virtuous cycle of improvement where each call provides insights to refine strategies and training programs, ultimately boosting win rates and rep performance over time.

AI-Powered Meeting Assistants

Developers building AI notetakers, scribes, or real-time meeting co-pilots leverage Recall.ai's real-time data streams. The API provides the live transcripts and audio necessary for AI agents to generate summaries, action items, and follow-up emails instantly. This allows product teams to iterate quickly on AI features, continuously improving the assistant's accuracy and usefulness based on real-world meeting data without managing underlying infrastructure.

Hiring and Interview Intelligence

Recruiting and hiring platforms integrate Recall.ai to streamline the interview process. Automatically recorded and transcribed interviews can be reviewed by hiring managers, analyzed for structured competencies, and used to reduce bias. This creates a feedback loop where interview data improves calibration across teams and refines the assessment criteria, leading to better, more efficient hiring decisions over time.

Internal Productivity & Knowledge Management

Companies use Recall.ai to build internal tools that capture meeting knowledge from team syncs, board meetings, and all-hands. This transforms spoken discussions into searchable, shareable assets, preventing information loss and allowing teams to iterate on projects with full context. The continuous capture of institutional knowledge fosters a culture of learning and informed decision-making, driving organizational efficiency.

Frequently Asked Questions

What meeting platforms does Recall.ai support?

Recall.ai provides unified API access to a wide range of popular video conferencing platforms. This includes Zoom, Microsoft Teams, Google Meet, and Slack Huddles. The platform abstracts away the unique complexities and APIs of each provider, giving you a single, consistent integration point to capture data from any supported meeting, enabling continuous expansion of your application's compatibility.

The Meeting Bot API is designed with compliance in mind. The bot participant is visible to all meeting attendees, providing clear, explicit indication that recording is taking place. Developers can implement additional consent flows using Recall.ai's APIs, such as requiring the host to admit the bot, ensuring adherence to regional laws and company policies through a configurable and iterative approach to consent management.

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

The Meeting Bot API joins calls as a participant, ideal for cloud-based applications where user installation isn't desired and explicit consent is suitable. The Desktop Recording SDK is for building installed applications that capture meetings directly from a user's computer, ideal for stealthier, personal productivity tools. Choosing the right path allows for iterative development focused on your specific user experience and use case requirements.

Can I get real-time data during a meeting?

Yes, Recall.ai supports both real-time and post-meeting (asynchronous) data access. You can receive live audio streams, video streams, and real-time transcripts as the meeting happens, enabling features like live captioning or interactive AI agents. After the meeting, you can access the full recording, final transcript, and all metadata, providing flexibility for different feature sets and continuous real-time iteration.