Recall.ai

Recall.ai is the enterprise-grade infrastructure API for programmatically capturing meeting intelligence. It provides developers and businesses with a unified, scalable solution to integrate meeting recording, transcription, and metadata extraction directly into their applications. The platform supports all major video conferencing systems, including Zoom, Microsoft Teams, Google Meet, and Slack Huddles, eliminating the need to build and maintain complex, platform-specific integrations. Recall.ai is engineered for product teams at SaaS companies and enterprises who need to add conversation intelligence features—such as meeting analytics, AI notetakers, sales coaching, and compliance recording—without investing months of development time and significant engineering resources. Its core value proposition lies in accelerating time-to-market from months to mere days, while ensuring enterprise-grade reliability, security, and compliance. By powering over 3,000 conversation intelligence tools and backed by a $38M Series B funding round, Recall.ai delivers proven infrastructure that transforms raw meeting data into actionable insights, driving productivity and unlocking new revenue streams for its customers.

Meeting Bot API

The Meeting Bot API enables automated recording by having a dedicated bot participant join video conferences. This method is ideal for scenarios requiring explicit recording consent, as the bot's presence is visible to all attendees. It is also the foundational technology for building interactive AI meeting agents that can participate in conversations, send messages, or display information. The API handles the entire lifecycle, from calendar integration and bot joining to providing high-quality recordings, transcripts, and rich metadata post-meeting.

Desktop Recording SDK

For a discreet, user-initiated recording experience, the Desktop Recording SDK allows users to record meetings directly from their desktop application without a bot joining the call. This "stealthier" option is perfect for individual productivity tools, internal meeting analysis, or situations where a visible bot is not desired. The SDK captures high-fidelity audio, video, and screenshare data locally, which is then processed and made available through Recall.ai's secure cloud infrastructure.

Comprehensive Data Extraction

Recall.ai delivers far more than simple audio/video capture. Its API provides access to over 100 structured data points from every meeting. This includes 100% accurate diarized transcripts (mapping speech to individual participants), separate audio and video streams per participant, chat messages, participant identifiers and emails, screenshare content, and extensive meeting metadata. This granular data is essential for building advanced AI features and detailed analytics.

Enterprise Security & Compliance

Built for the enterprise, Recall.ai ensures data security and regulatory adherence. It is SOC 2 Type II and ISO 27001 certified, and compliant with HIPAA, GDPR, and CCPA. Features like built-in recording consent workflows, secure data transmission, and robust access controls allow businesses in highly regulated industries like healthcare, legal, and finance to deploy meeting intelligence solutions with confidence.

Sales Intelligence and Coaching

Revenue and sales operations teams use Recall.ai to automatically record and transcribe customer calls. This data fuels platforms that analyze conversation patterns, provide actionable coaching feedback to reps, track keyword usage, and ensure compliance with sales scripts. The result is improved win rates, standardized onboarding, and data-driven sales leadership.

AI-Powered Meeting Assistants

Product teams integrate Recall.ai's real-time audio and transcript streams to build AI notetakers and assistants. These tools can generate meeting summaries, extract action items, answer questions about discussion content, and even participate interactively, significantly boosting meeting productivity and ensuring critical information is never lost.

Compliance and Legal Documentation

In legal, financial, and healthcare sectors, Recall.ai provides a verifiable audit trail for meetings and consultations. The platform's consent management and secure, immutable recording storage help organizations meet strict regulatory requirements for client interactions, depositions, and internal reviews, mitigating risk.

Product-Led Growth and Analytics

SaaS companies embed Recall.ai to add native meeting recording features to their own products, creating new premium tiers and revenue streams. By analyzing usage patterns and meeting content from within their platform, they gain unprecedented insights into customer needs, feature adoption, and user behavior to inform product strategy.

How does Recall.ai handle recording consent and privacy?

Recall.ai is designed with privacy-first principles. Its Meeting Bot API provides a clear, visible indicator of recording through the bot participant, ensuring explicit consent. For the Desktop SDK, the responsibility for obtaining consent lies with the implementing application, and Recall.ai provides the tools and best practices to facilitate this. The platform is fully compliant with global regulations like GDPR and CCPA, offering data processing agreements and secure data handling.

What meeting platforms does Recall.ai support?

Recall.ai offers comprehensive support for all major video conferencing platforms, including Zoom, Microsoft Teams, Google Meet, and Slack Huddles. This unified API means developers do not need to build separate integrations for each platform, saving immense development time and ensuring consistent data output across different meeting environments.

Can I get real-time data from meetings?

Yes. Recall.ai provides both real-time and asynchronous data streams. You can receive live audio, video, and transcripts as a meeting happens, enabling the creation of live captioning, real-time sentiment analysis, or interactive AI agents. After the meeting, you can access the full recording, finalized transcripts, and all metadata through a simple API call.

How complex is the integration process?

Integration is remarkably straightforward. Recall.ai is built as a developer-first API, with comprehensive documentation and client libraries. Companies like Apollo.io and ClickUp have launched full meeting recording features in days, not months. The infrastructure handles the complexities of meeting connections, media processing, and scaling, allowing your team to focus on building your core application logic.

Recall.ai offers a transparent, usage-based pricing model designed to scale with your business. You can start for free with a generous tier to test the API and build your integration. Paid plans are based on the volume of recorded meeting minutes, with discounts applied at higher usage tiers. Specific costs and detailed plan breakdowns, including features like dedicated support and custom SLAs, are available on the Recall.ai pricing page. This flexible model ensures you only pay for what you use, making it cost-effective for both early-stage startups and large enterprises.