Create a Read account, connect a calendar and supported meeting service, and choose which meetings Read should join or record. After the meeting, Read generates a report with a transcript, summary, topics, action items, key questions, and optional metrics or playback; users can then search, share, or send the results to connected services.
What is Read AI?
Read AI is an AI meeting assistant and workplace productivity platform from Read AI, Inc. Its main job is to capture meetings and convert them into usable records: speaker-attributed transcripts, summaries, topics, key questions, action items, and meeting metrics.
Users can connect a calendar and supported meeting service, choose which meetings Read should attend, and review a generated report afterward. Read can also process recordings made through its Windows, macOS, Android, and iOS apps, making it useful for in-person conversations and meetings on unsupported platforms.
Unlike a general-purpose chatbot such as ChatGPT, Read is built around recurring workplace conversations and the data created around them. Its value comes from automatically capturing meetings, organizing follow-up information, and allowing users to search across meeting history and connected work services.
How people use Read AI
A typical setup starts with a Read account, a connected calendar, and access to Zoom, Google Meet, or Microsoft Teams. Read joins selected meetings as a visible notetaker, then produces a report containing the transcript, summary, topics, action items, and key questions. Depending on the plan, users may also receive audio or video playback, highlights, and more advanced workspace features.
For meetings that Read cannot join directly, users can record locally through the desktop or mobile apps. This supports in-person meetings, conversations on other platforms, and audio or video files that need to be turned into searchable workplace records.
Teams can send reports and follow-up information to services such as Slack, Salesforce, HubSpot, Notion, Jira, Confluence, Google Drive, OneDrive, Zapier, and webhooks. Read also offers a public REST API in open beta and a remote MCP server in open beta, which can make meeting data available to other software and AI workflows.
Core capabilities
Transcription and meeting reports
Read creates speaker-attributed transcripts and condenses meetings into summaries. Reports can include topics, key questions, action items, and other follow-up information. This is the central workflow and is most useful for recurring meetings where decisions and responsibilities might otherwise be lost in chat messages or personal notes.
Meeting analytics and coaching
Read analyzes meeting behavior using measures such as engagement, sentiment, speaking speed, filler words, bias, and charisma. These features are aimed at people who want to review how meetings are conducted, rather than simply obtain a transcript. They may be relevant to managers, sales professionals, consultants, educators, and teams working on communication practices.
Search across meetings and work content
Read provides an Ask Read experience for querying meeting history and connected workplace content. Selected paid plans provide access to OpenAI GPT and Anthropic Claude through this conversational layer, although exact model versions are not publicly specified. This makes Read closer to a searchable workplace knowledge tool than a standalone transcription utility.
Playback, highlights, and sharing
Higher-level plans provide audio and video playback with automatically identified highlights. Workspaces can also apply report-sharing rules and give teams access to shared meeting information. Availability of playback, premium integrations, workspace features, and advanced search capabilities depends on the subscription tier.
Who Read AI is for
Read is a good fit for professionals and teams that spend substantial time in online meetings and need reliable follow-up. Common users include managers, sales and customer-facing teams, consultants, educators, distributed organizations, and anyone who regularly needs to revisit decisions or commitments.
- Meeting-heavy teams: Useful when many conversations need consistent summaries and searchable records.
- Managers and coaches: Meeting metrics can support reviews of participation, speaking patterns, and engagement.
- Sales and client teams: Transcripts, action items, and CRM integrations can reduce manual follow-up work.
- Distributed organizations: Searchable reports and sharing controls help people catch up on meetings they did not attend.
- Individuals recording in person: Desktop and mobile recording extend the product beyond automatically joined video calls.
It is less suitable for someone who only needs occasional transcription, wants a fully offline recorder, or is looking for a general writing, image-generation, coding, or project-management application. Users who do not want an AI notetaker joining meetings should also consider the participation and consent implications before adopting it.
Platforms and integrations
Read is available through a web app, Windows and macOS desktop applications, Android and iOS apps, and a Chrome or Chromium-based browser extension. Its direct meeting support covers Zoom, Google Meet, and Microsoft Teams. Local recording is the main alternative for unsupported meeting platforms and in-person conversations.
Its workplace connections include Gmail, Outlook, Slack, Salesforce, HubSpot, Notion, Confluence, Jira, Google Drive, Microsoft OneDrive, Microsoft OneNote, Linear, Asana, Zapier, and webhooks. Integration availability varies by plan. This makes Read complementary to tools such as Otter, Fireflies.ai, and Fathom, which also focus on meeting transcription and notes, while Read places additional emphasis on meeting analytics, coaching, and connected workplace search.
Pricing and access
Read offers a continuing free plan limited to five meetings per month. The free tier includes core transcription, summaries, personalized coaching, and meeting metrics, but does not provide the full set of paid features. Free recordings are also limited to a maximum duration of one hour.
Paid plans are priced per user. Pro is listed at $19.75 per month when paid monthly, or $15 per user per month when billed annually. Enterprise is listed at $29.75 monthly or $22.50 per user per month on annual billing. Enterprise+ is listed at $39.75 monthly or $29.75 annually and requires at least 10 licenses. Paid plans provide unlimited meeting reports and storage, while upload credits and maximum meeting lengths vary. Pro includes 100 monthly file-upload credits, Enterprise 200, and Enterprise+ 300.
Enterprise+ is the relevant tier for organizations that need advanced governance, including SAML single sign-on, SCIM provisioning, domain capture, custom retention policies, and HIPAA support. Because Read distributes important features across plans, prospective teams should check whether playback, premium integrations, advanced search, retention controls, and workspace administration are included in the selected tier.
Privacy and limitations
Read states that data is encrypted in transit and at rest, is not sold to advertisers or third parties, and is not used to train shared AI models by default. Users can opt in to product-improvement and shared-model training through settings. Read also states that relevant OpenAI and Anthropic processing is covered by terms providing zero reuse and zero retention for those services.
The product joins meetings as a visible notetaker, announces itself, and requires host approval before joining according to Read's documentation. Meeting participants and local rules may therefore make consent and disclosure important parts of deployment. Connected services have their own privacy policies and access controls.
Users can choose whether audio and video are retained for playback. When media retention is disabled, Read states that the recordings are not kept beyond the time needed to generate the report. Individual reports and accounts can be deleted, while Enterprise+ adds custom retention policies.
Read's main limitation is specialization: it is designed for meeting capture, workplace knowledge, and communication analysis rather than broad content creation. It also depends on calendar permissions, meeting-platform access, participant approval, and the quality of the recorded audio. The free plan is restrictive, and the most advanced playback, integrations, and governance controls require higher-priced plans.
Is Read AI a good fit?
Read AI makes sense when the cost of missed decisions, manual note-taking, or fragmented meeting history is high. Its combination of transcripts, action items, meeting analytics, search, integrations, and enterprise controls is more comprehensive than a basic recording-to-text tool.
It may be unnecessary for occasional meetings or for users who already have a simple notes workflow. It is also not a replacement for a dedicated project-management system: Read can extract action items and connect to work tools, but its primary product is meeting intelligence. Teams should evaluate consent practices, retention settings, plan limits, and integration requirements before rolling it out broadly.
