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Recall.ai

Developer API for reliable meeting recording, transcripts, and real-time metadata

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  • Overview
  • Features
  • Pricing
  • Pros
  • Cons
  • Reviews

Recall.ai Overview

  • Updated January 22, 2026

Recall.ai is a developer-focused API platform that enables reliable meeting recording, transcription, and metadata extraction across major conferencing tools. It offers meeting bot APIs, desktop and mobile recording SDKs, and calendar integrations.

Built for scale, Recall.ai processes billions of meeting minutes annually, helping conversation intelligence and AI notetaker products launch faster without maintaining complex recording infrastructure.

Key Features

  • Meeting Bot API: Record Zoom, Google Meet, Teams, Webex, Slack Huddles, and more with explicit consent notifications.
  • Desktop Recording SDK: Capture virtual or in-person meetings directly from desktop applications.
  • Mobile Recording SDK: Enable in-person and phone call recording within mobile apps.
  • Real-time & Async Transcription: Access diarized transcripts via built-in or third-party transcription providers.
  • Rich Meeting Metadata: Retrieve participant emails, chat messages, screenshare data, and meeting context.
  • Streaming Audio & Video: Stream media into or out of meetings for interactive AI agents.
  • Calendar Integrations: Automatically join and record meetings via Google and Microsoft Calendars.
  • Enterprise-Grade Security: SOC 2, ISO 27001, HIPAA, GDPR, CCPA, and regional data residency support.

Price

Plan Price Featured
Pay As You Go $0.50/hr of recording (Usage-Based) Meeting Bot API & Desktop Recording SDK access; First 5 hours free; 500 hours/month recording limit
Launch Custom Pricing No monthly recording limit; No individual recording length limit; Slack-based support
Enterprise Custom Pricing White-glove Slack support; SSO & uptime guarantees; Custom contracts & HIPAA BAA

Price details: https://www.recall.ai/pricing

Pros

Competitor

Pros
Otter.ai Compared to Otter.ai’s end-user focus, Recall.ai provides far greater developer flexibility. Its API-first design allows full control over recordings, metadata, and storage, making it more suitable for SaaS products that need embedded meeting intelligence rather than a standalone transcription app.
Fireflies.ai Recall.ai offers deeper infrastructure-level access than Fireflies.ai, which is primarily a finished product. Developers benefit from Recall.ai’s raw media streams, participant data, and SDKs, enabling custom AI agents and workflows beyond simple note-taking.
AssemblyAI While AssemblyAI excels at speech-to-text, Recall.ai handles the entire meeting lifecycle. It abstracts away meeting platform integrations, bot management, and recording reliability, significantly reducing engineering effort for real-time meeting capture.
Zoom APIs Unlike Zoom’s native APIs, Recall.ai is platform-agnostic. Developers can integrate once and support multiple providers, reducing maintenance overhead and avoiding vendor lock-in while gaining consistent data structures.
Symbl.ai Recall.ai emphasizes recording reliability and media access at scale. Its infrastructure-first approach makes it more dependable for high-volume production workloads where dropped bots or missing recordings can be costly.

Cons

Competitor

Cons
Otter.ai Compared to Otter.ai, Recall.ai is not designed for non-technical users. Teams looking for an out-of-the-box note-taking solution may find Recall.ai overly technical and requiring significant development effort.
Fireflies.ai Fireflies.ai offers instant productivity value with minimal setup, whereas Recall.ai requires engineering resources. Smaller teams without developers may struggle to justify the implementation overhead.
AssemblyAI AssemblyAI can be cheaper for pure transcription use cases. Recall.ai’s pricing includes recording infrastructure, which may be unnecessary for teams that already capture audio independently.
Zoom APIs For Zoom-only products, native Zoom APIs may be more cost-effective. Recall.ai’s cross-platform abstraction adds value primarily when multi-platform support or advanced media handling is required.
Symbl.ai Symbl.ai provides higher-level conversational insights out of the box. Recall.ai focuses more on raw data and infrastructure, meaning additional development is needed to build analytics and summaries.

Verified Customer Reviews

  • Product Hunt (Rating: 4.8/5): Developers praise Recall.ai for being a reliable, API-first meeting recording infrastructure that removes months of integration work.
  • Reddit – r/ProductivityApps: Engineers highlight how Recall.ai simplifies multi-platform meeting capture and “just works” at scale.
  • Substack – Productive Matters: Review notes Recall.ai’s strength as infrastructure rather than a consumer app, emphasizing reliability and flexibility.
  • Futurepedia (Rating: 5/5): Recall.ai is described as a robust backend solution for AI-powered meeting products requiring dependable data pipelines.
  • Customer Case Studies (Revenue.io, Apollo): Teams report saving months of engineering time by outsourcing meeting recording complexity to Recall.ai.