
About Recall.ai
Recall.ai is the essential API infrastructure for capturing, processing, and utilizing meeting data. It solves a critical and complex technical problem: programmatically accessing high-quality recordings, transcripts, and rich metadata from video conferencing platforms like Zoom, Microsoft Teams, and Google Meet. Instead of spending months building and maintaining custom integrations that must handle various platforms, protocols, and edge cases, developers can use Recall.ai's unified API to add meeting intelligence features in days. The platform serves thousands of companies, from startups to enterprises, providing the reliable backbone for conversation intelligence, AI notetakers, sales coaching, and meeting analytics tools. Its core value proposition is eliminating infrastructure complexity, ensuring security and compliance, and dramatically accelerating time-to-market for any product that needs to leverage the valuable insights trapped inside video calls.
Features of Recall.ai
Meeting Bot API
This feature allows you to send a virtual bot participant into a scheduled meeting to capture everything that happens. It's the ideal solution when you need explicit recording consent from participants, as the bot is a visible attendee. Beyond simple recording, the API enables building interactive AI agents that can listen, process speech in real-time, and even respond by sending chat messages or displaying images directly within the meeting interface, transforming passive recording into an active participant experience.
Desktop Recording SDK
For applications requiring a more discreet recording method or the ability to capture in-person meetings and unscheduled calls, the Desktop Recording SDK is the perfect tool. It enables developers to build a native desktop application that can record audio and video directly from a user's system. This approach is "stealthier" as no bot joins the call, and it provides flexibility to record any meeting a user can join from their computer, making it a comprehensive solution for personal productivity or internal tooling.
Comprehensive Data Extraction
Recall.ai goes beyond basic audio/video capture to deliver over 100 structured data points from every meeting. This includes perfect speaker diarization (who said what), real-time and async transcripts, separate audio/video streams per participant, screenshare content, chat messages, participant emails, and rich meeting metadata. This granular, structured data is immediately actionable for AI analysis, reporting, and generating insights, saving countless hours of manual data processing.
Enterprise-Grade Security & Compliance
Built for business-critical applications, Recall.ai is designed with security as a foundation. It holds key certifications including SOC 2 Type II, ISO 27001, and is compliant with HIPAA, GDPR, and CCPA. Features like built-in recording consent flows and a dedicated security portal give enterprises and startups alike the confidence to handle sensitive meeting data at scale, ensuring that their product meets the stringent security requirements of their customers.
Use Cases of Recall.ai
Conversation Intelligence & Sales Coaching
Sales and revenue teams use products powered by Recall.ai to automatically analyze deal cycles and customer interactions. The API provides the recordings and transcripts needed to evaluate call performance, track keyword usage, provide automated coaching feedback, and ensure CRM data is accurate and complete, leading to improved win rates and more effective team training.
AI Meeting Assistants & Notetakers
Developers building AI "scribes" or notetakers leverage Recall.ai to reliably capture meeting content. The API delivers a clean, diarized transcript and recording, which can then be processed by AI to generate summaries, extract action items, highlight decisions, and create structured meeting minutes, freeing participants from manual note-taking and ensuring critical information is never lost.
Internal Productivity & Knowledge Management
Companies use Recall.ai's infrastructure to record internal meetings, all-hands, and brainstorming sessions. This creates a searchable knowledge base of organizational memory. Teams can quickly reference past discussions, onboard new employees with historical context, and ensure alignment across departments by easily sharing key moments from important conversations.
Customer Support & Quality Assurance
Support and success teams integrate meeting recording to monitor customer interactions for quality assurance and training purposes. Recording customer demos, onboarding sessions, and support calls (with consent) provides invaluable data for improving service protocols, understanding common user issues, and coaching support representatives on best practices.
Frequently Asked Questions
What meeting platforms does Recall.ai support?
Recall.ai provides robust API support for all major meeting platforms including Zoom, Microsoft Teams, Google Meet, and Slack Huddles. Their infrastructure handles the unique APIs and protocols of each platform, giving you a single, unified integration point to capture data from across your users' entire meeting ecosystem without managing multiple connections.
How does the Meeting Bot handle recording consent?
The Meeting Bot API is designed with consent as a first-class feature. The bot joins as a visible participant, making its presence known to all attendees. This transparent approach allows meeting hosts to control the bot's participation and ensures compliance with regulations and company policies that require explicit notification before a meeting is recorded.
Can I get real-time data streams from meetings?
Yes, Recall.ai offers both real-time and post-meeting (async) data access. You can subscribe to live audio, video, and transcript streams to build real-time features like live captioning, sentiment analysis, or interactive AI agents. Alternatively, you can receive a complete package of recordings and transcripts shortly after the meeting concludes for asynchronous analysis and storage.
Is my data secure with Recall.ai?
Absolutely. Recall.ai is built as enterprise-grade infrastructure with security certifications including SOC 2 Type II and ISO 27001. They comply with major data protection regulations like HIPAA, GDPR, and CCPA. Data is encrypted in transit and at rest, and their platform is architected to ensure the security and privacy of all meeting data processed through their APIs.
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