Meeting Bot API

Recall.ai’s Meeting Bot API is an API for creating bots that can join and interact with online meetings across supported platforms. It allows engineers to get recordings, transcripts, speaker names, and metadata.

The Meeting Bot API by Recall.ai supports several use cases, including:

• Sales coaching
• Interview recorder
• Financial advisor copilot
• Telehealth scribe
• Legal deposition transcriber
• Incident response scribe
• Meeting translation bot
• Interactive assistants

Recall.ai’s Meeting Bot API supports Zoom, Google Meet, Microsoft Teams, Webex, GoTo Meeting, and Slack. Learn more about the platforms by checking out our docs.

A meeting bot API gives engineers raw access to meeting data. For example, the Recall.ai Meeting Bot API offers access to audio, video, transcripts, chat, and metadata in real time, so you can integrate meeting data into your products.

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Notetaking products are typically built using a meeting bot API like Recall.ai. Notetakers are meant for end-users that want an off-the-shelf tool, while a meeting bot API is meant for engineers who are building a notetaking product.

With Recall.ai, you can create a bot using the Create Bot endpoint. The bot will join meetings and capture audio, video, transcripts and metadata. It will deliver the data to your app in real-time or post-call.

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Using a meeting bot API simplifies engineering complexities integrating cross-platform with Zoom, Google Meet, Microsoft Teams, etc, so engineers can focus on building differentiating features.

You can try out Recall.ai’s Meeting Bot API immediately by signing up for a self-serve account or chatting with a member of our team if you have questions.

Using the Meeting Bot API has a couple of key benefits:

• Get to market faster by saving 6 months of development time
• Provides scalable infrastructure for recording meetings on Zoom, Google Meet, Microsoft Teams, Slack, Etc
• Gives engineers direct access to transcripts, video, audio, speaker names, and meeting metadata.

When looking for a meeting bot API provider, you should consider these factors:

• Stability and scalability: This is a core piece of infrastructure. Meeting recording has zero margin for failure because if anything breaks, you lose the data forever.
• Security: Sensitive meeting data requires strong security measures and compliance.

• Platform coverage and feature set: Make sure to also check for platform coverage and feature sets to confirm your use case can be supported.
• Developer Experience: Your product relies on this key piece of infrastructure so making sure that documentation is clear and customer support is prioritized are incredibly important
• Recall.ai is the recommended meeting bot API. It’s trusted by Hubspot, Clickup, Rippling, and thousands of companies as core recording infrastructure.

With Recall.ai, use the Output Media feature to have your bot respond directly in meetings. You can feed it real-time chat messages, plus audio/video from participants, so its responses are context-aware and relevant.

If you’re using Recall.ai you can use a single API to access real-time audio, video, transcripts, and chat across platforms. See the docs to learn more or jump straight into developing.

Pricing of Recall.ai’s Meeting Bot API is based on usage of the number of hours a bot is in a meeting or in a waiting room. The more you commit, the lower your rate. There is no limit on the number of participants in a meeting and no extra cost for concurrent bots using Recall.ai.

With Recall.ai’s Meeting Bot API you can access audio/video streams, transcripts with speaker names, meeting metadata, screenshare data, send and receive chat messages, and more. You can receive this data in real-time, or after a meeting is done.

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You can also output media into a meeting.

Meeting bot APIs are built for engineering teams who are building products that need to programmatically capture conversation data from meetings. This could be for products that offer sales call recording, interview recording, telehealth recording, or any other feature that relies on meeting transcripts, audio, video, or metadata.