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Read AI: Workflow, Plan Limits and Evaluation

AI Tools Ratings Content updated Sources & review method

Meeting summaries and connected-work search, with different plan limits for transcripts, uploads and playback.

Who should consider Read AI

Teams looking for decisions across meetings and connected work sources. Begin with a narrowly scoped workspace so useful retrieval can be evaluated without broad account access.

Features and pricing

Read lists meeting transcription, summaries, topic readouts and search. Paid plans add integrations and upload credits; audio/video playback is listed in Enterprise rather than the entry paid tier.

Free includes five meeting transcripts per month. Pro lists 100 file upload credits monthly, while Enterprise lists 200. The page shows annual and monthly price variants; verify the selected billing option and distinguish transcript access from recording playback before subscribing.

Official product website · Official plans and limits

A practical evaluation task

Prepare two permitted meeting records that reach different decisions on different dates. Ask for the current decision, the previous proposal and the source supporting each.

Start with synthetic notes and a small connected source set. Record which documents and meetings the answer used. Deliberately include an outdated draft so the trial tests chronology as well as keyword matching.

What a useful result must pass

Accept the answer only if it identifies the latest decision and cites a source you can open. Check that permissions prevent an unauthorized teammate from retrieving the restricted record. A fluent answer without a traceable source fails the task.

Limits and data access

Connecting email, messaging or files can expand the material available to search. Review integration scopes and access inheritance before enabling them. Meeting metrics should not be treated as a complete assessment of an employee or a conversation.

Alternatives and tradeoffs

Compare Granola for a personal meeting-notes workflow and Otter for focused transcription. Search within your existing workspace may be sufficient if another integration would add more administration than value.

Granola · Otter.ai

Sources checked October 22, 2026. Based on official product documentation. Use the suggested trial to assess fit for your workflow.

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