Read AI

Read AI is an artificial intelligence productivity platform designed to help individuals, teams, and organizations turn meetings, emails, and messages into useful information and actionable outcomes. Rather than serving only as a meeting transcription tool, Read AI combines automated note-taking, meeting summaries, conversation analytics, AI-powered search, personalized coaching, and workflow integrations in one platform.

The platform is designed for professionals who want to spend less time documenting conversations and searching through information and more time acting on decisions. It can be used by sales teams, educators, researchers, project managers, customer support teams, business analysts, human resources professionals, and other people who regularly collaborate through online meetings and digital communication.

One of Read AI’s core features is its AI Meeting Assistant. It supports meetings on Zoom, Google Meet, and Microsoft Teams, generating transcripts and structured meeting reports. These reports can include summaries, key topics, action items, important questions, and other relevant information.

The platform is designed to reduce the manual work involved in recording meeting minutes. Instead of writing notes throughout a conversation, participants can concentrate on the discussion and review the generated report afterward. Users can revisit important decisions, identify follow-up responsibilities, and share relevant information with colleagues.

Read AI also provides live notes and meeting metrics through its in-meeting dashboard. This gives users access to transcription and other meeting insights while a conversation is taking place. Meeting reports can help teams maintain records of discussions and make it easier to follow up on outstanding tasks.

Read AI transforms meeting conversations into organized reports that help users understand what happened and what needs to happen next. Its summaries condense lengthy discussions into more manageable information, while action items identify tasks and follow-up activities mentioned during the meeting.

The platform can also identify topics, key questions, and notable moments. These features are useful for project reviews, sales discussions, planning sessions, interviews, and recurring team meetings. By making the important parts of a conversation easier to find, Read AI can help users reduce the time spent reviewing lengthy transcripts.

Generated summaries and action items should still be checked for accuracy. AI may misunderstand names, technical terminology, decisions, or responsibilities, particularly when participants speak over one another or the conversation lacks context.

Read AI offers meeting analytics designed to help users understand communication patterns and improve the effectiveness of their meetings. Depending on the plan and feature, its reports can include metrics related to engagement, sentiment, participation, speaking speed, and other aspects of communication.

Its personalized Meeting Coach can provide feedback about delivery and communication habits, including speaking pace, filler words, and aspects of presentation style. These insights may help individuals reflect on their communication and identify areas for improvement.

Meeting analytics should be interpreted carefully. Automated sentiment and engagement measurements cannot fully capture the meaning of a conversation or reliably explain every participant’s intentions. The metrics are best treated as supplementary information rather than definitive judgments about a person’s performance.

Read AI extends beyond meetings through its AI-powered search capabilities. Its Ask Read and Search Copilot features help users find information across connected meetings, emails, messages, and other supported sources.

Instead of manually searching through multiple applications, users can ask questions about previous discussions, decisions, commitments, and outstanding tasks. Where supported, answers can include citations or references that help users locate the original information and verify the response.

This is particularly useful for organizations that manage large amounts of information across different teams and applications. Employees can retrieve context from earlier conversations, prepare for upcoming meetings, and identify unresolved questions without repeatedly asking colleagues for information they have already shared.

The usefulness of these features depends on the connected sources, permissions, and available content. Users should verify important answers against the original records, especially when making business or operational decisions.

Read AI connects meeting insights with other communication and productivity workflows. It can help users work with information from emails and messages, generate summaries, and identify relevant context across supported applications.

The platform also promotes Ada, its digital assistant, which is designed to help users manage work and handle selected tasks. Its broader approach focuses on connecting information from calendars, emails, previous meetings, and other sources so that users can prepare for conversations and follow through on commitments.

For example, a team member may use meeting summaries to identify an agreed task, retrieve the relevant discussion, and prepare a follow-up message. Available automation and assistant capabilities depend on the product feature, connected applications, permissions, and subscription.

Read AI’s paid Enterprise plan includes meeting audio and video playback, together with video highlights. These features allow users to revisit the original recording and examine important moments in context rather than relying exclusively on the transcript or summary.

This can be valuable when a discussion involves a complicated decision, a technical explanation, or an important statement that needs to be checked. Playback can also help users understand how a particular point was communicated.

Access to recording and playback features varies by plan and setup. Organizations should also establish appropriate consent, recording, and retention practices before enabling these capabilities.

Read AI is designed to work across multiple communication platforms rather than being tied to a single meeting service. Its direct meeting support includes Zoom, Google Meet, and Microsoft Teams.

Additional integrations include tools for communication, customer relationship management, project management, documentation, and workflow automation. Depending on the plan, supported integrations include Slack, Salesforce, HubSpot, Notion, Jira, Confluence, and Zapier. Webhooks and API access provide additional options for connecting Read AI with other systems.

The platform also offers a browser extension, desktop applications for Windows and macOS, and mobile applications for Android and iOS. These tools help users access meeting reports, capture in-person conversations, and manage their workflows across devices.

Read AI provides a REST API and a Model Context Protocol (MCP) server for supported integrations. These tools allow developers and compatible AI applications to access authorized meeting information, including reports, transcripts, and summaries.

The official documentation describes both services as being in open beta, with known limitations involving authentication, rate limits, and available endpoints. Developers should review the current documentation before relying on the API or MCP server in a production application.

These capabilities make Read AI relevant to organizations that want to connect meeting knowledge with internal tools, AI assistants, and automated workflows.

Read AI states that it does not use customer data to train its AI models by default. Its Trust Center describes encryption at rest and in transit, data deletion options, and compliance measures including SOC 2 Type 2, GDPR, and HIPAA support.

Enterprise-focused controls include single sign-on, SAML, SCIM, domain capture, workspace administration, and customizable data retention policies, depending on the plan. These features can help organizations manage access and apply consistent information-handling practices.

Because meeting transcripts and recordings can contain sensitive information, users should review the privacy policy, workspace settings, consent requirements, and organizational policies before enabling recording or sharing reports.

Read AI is suitable for individuals and organizations that want to improve meeting documentation, retrieve information across communication tools, and automate follow-up work. Sales teams can use it to document customer conversations, project managers can track decisions and action items, educators can organize meeting notes, and researchers can search previous discussions.

Its combination of transcription, summaries, analytics, enterprise search, coaching, and integrations makes it more comprehensive than a basic transcription service. However, users should evaluate the accuracy of generated information, the privacy implications of meeting capture, and the subscription limits before adopting it.

Overall, Read AI is a versatile meeting intelligence and workplace productivity platform. Its free plan provides a way to test the core experience, while its paid plans offer more extensive transcription, integrations, recording playback, and enterprise management features.