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Granola

Privacy-first botless meeting notes with strong search, sharing, API/MCP access, and action-item workflows — but unreliable transcript accuracy on standups.

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BotlessAPI + MCPNo-login sharing17 languages
TL;DR — our verdictUpdated August 2026 · 14 test artifacts

Strong meeting-memory workflow, but the default transcript is not reliable enough for accountability.

Where it wins
  • you want botless Google Meet capture without a meeting bot joining the call
  • you need searchable, shareable meeting notes with no-login guest access
  • you want API or MCP access to meeting data, and you are comfortable with note-level editing rather than transcript editing
Main limitation
  • you need a highly accurate raw transcript from a normal multi-speaker standup
Pricing (verified plans)
Basic $0 per user per monthBusiness $14 per user per monthEnterprise $35 per user per month
Strongest test artifacts
Capture evidence →Transcript Generation with Speaker Attribution →Structured Meeting Summaries and Topic Segmentation →

Our take

Granola excelled at the parts of meeting capture that make notes useful after the call: botless recording, clean summaries, accurate action items, search, shareable links, API access, and a live MCP connector. The blocker is the same one that matters most for a standup record — recurring transcription errors and hidden-by-default speaker tagging meant the raw transcript was not dependable on this normal meeting.

Download video: Demo videoWatch video (streaming): Demo video0:00 — Google Search0:12 — Granula Website0:25 — Pricing Plans0:35 — Going Granula0:46 — Settings1:16 — Integrations1:48 — Note-Taking
Screen recording showing Granola’s homepage, settings, and an example notes page from the product surface.

In-Depth Review

Our detailed analysis of Granola — features, performance, and real-world testing.

AD
AI Demos Team
Expert Reviewer
Verified Review

Feature-by-Feature Breakdown

Botless Meeting Capture
The local desktop capture worked cleanly on the test standup and recorded the full meeting without interruption.
▾
Test Summary
Feature tested: Botless Meeting Capture
Result: Passed — The local desktop capture worked cleanly on the test standup and recorded the full meeting without interruption.

Feature tested: Botless Meeting Capture

Result: Passed

Verdict: The local desktop capture worked cleanly on the test standup and recorded the full meeting without interruption.

Expected behavior: On the 31 Jul 2026 Google Meet standup, Granola captured the call locally on desktop without joining as a bot and ran through the natural end of the meeting without dropping. The evidence here is the botless capture/join workflow itself.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Google Meet standup used as the live source for Granola’s capture test. — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): Granola reached the actual end of the meeting and kept the call recording intact from start to finish, confirming uninterrupted botless capture. — granola-31julymeet-end-of-transcript.png

Input artifact: Input artifact (Image): Google Meet standup used as the live source for Granola’s capture test. — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): Granola reached the actual end of the meeting and kept the call recording intact from start to finish, confirming uninterrupted botless capture. — granola-31julymeet-end-of-transcript.png

What changed: Image transformed into Image

Why it matters / Conclusion: Reliable botless join and uninterrupted capture on this standup.

On the 31 Jul 2026 Google Meet standup, Granola captured the call locally on desktop without joining as a bot and ran through the natural end of the meeting without dropping. The evidence here is the botless capture/join workflow itself.

image
Input artifact for "Botless Meeting Capture" test: Google Meet standup used as the live source for Granola’s capture test., granola-31-july-meeting-input-artifact.png
Google Meet standup used as the live source for Granola’s capture test.
↓
image
Output artifact for "Botless Meeting Capture" test: Granola reached the actual end of the meeting and kept the call recording intact from start to finish, confirming uninterrupted botless capture., granola-31julymeet-end-of-transcript.png
Granola reached the actual end of the meeting and kept the call recording intact from start to finish, confirming uninterrupted botless capture.
Bottom Line
Reliable botless join and uninterrupted capture on this standup.
From our researchearlier researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Calls
Transcript Generation with Speaker Attribution
The transcript was readable in places, but recurring transcription errors and default-off speaker tags made it unreliable as a baseline meeting record.
▾
Test Summary
Feature tested: Transcript Generation with Speaker Attribution
Result: Failed — The transcript was readable in places, but recurring transcription errors and default-off speaker tags made it unreliable as a baseline meeting record.

Feature tested: Transcript Generation with Speaker Attribution

Result: Failed

Verdict: The transcript was readable in places, but recurring transcription errors and default-off speaker tags made it unreliable as a baseline meeting record.

Expected behavior: On the same normal-audio standup, Granola turned the meeting into transcript blocks and exposed a speaker-tags setting for attribution. The test inputs include live transcription, transcript generation, and a diarization-specific card that showed the setting existed but was off by default.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Input — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): Longer transcript excerpt reviewed as evidence of recurring transcription errors throughout the call. — granola-meeting-transcript-chat-form.png

Input artifact: Input artifact (Image): Input — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): Longer transcript excerpt reviewed as evidence of recurring transcription errors throughout the call. — granola-meeting-transcript-chat-form.png

What changed: Image transformed into Image

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Input — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): Settings panel shows Speaker tags exist, but the toggle is Off. — granola-31julymeet-speaker-tag-feature.png

Input artifact: Input artifact (Image): Input — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): Settings panel shows Speaker tags exist, but the toggle is Off. — granola-31julymeet-speaker-tag-feature.png

What changed: Image transformed into Image

Why it matters / Conclusion: Useful as a transcript viewer, but not dependable enough for baseline standup accountability unless diarization is discovered and enabled.

On the same normal-audio standup, Granola turned the meeting into transcript blocks and exposed a speaker-tags setting for attribution. The test inputs include live transcription, transcript generation, and a diarization-specific card that showed the setting existed but was off by default.

INPUT
Input artifact for "Transcript Generation with Speaker Attribution" test: Input, granola-31-july-meeting-input-artifact.png
↓
OUTPUT
Output artifact for "Transcript Generation with Speaker Attribution" test: Longer transcript excerpt reviewed as evidence of recurring transcription errors throughout the call., granola-meeting-transcript-chat-form.png
Longer transcript excerpt reviewed as evidence of recurring transcription errors throughout the call.
INPUT
Input artifact for "Transcript Generation with Speaker Attribution" test: Input, granola-31-july-meeting-input-artifact.png
↓
OUTPUT
Output artifact for "Transcript Generation with Speaker Attribution" test: Settings panel shows Speaker tags exist, but the toggle is Off., granola-31julymeet-speaker-tag-feature.png
Settings panel shows Speaker tags exist, but the toggle is Off.
Bottom Line
Useful as a transcript viewer, but not dependable enough for baseline standup accountability unless diarization is discovered and enabled.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Structured Meeting Summaries and Topic Segmentation
Granola produced a clear summary and broke the standup into skimmable sections that followed the meeting flow.
▾
Test Summary
Feature tested: Structured Meeting Summaries and Topic Segmentation
Result: Passed — Granola produced a clear summary and broke the standup into skimmable sections that followed the meeting flow.

Feature tested: Structured Meeting Summaries and Topic Segmentation

Result: Passed

Verdict: Granola produced a clear summary and broke the standup into skimmable sections that followed the meeting flow.

Expected behavior: On the ~25-minute standup, Granola produced a structured meeting summary and split the discussion into logical topic sections. The test cards cover the summary output and the way it was organized into scan-friendly sections.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Input — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): Structured summary with section headings and bullets for the standup’s main topics. — granola-summary-generated.png

Input artifact: Input artifact (Image): Input — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): Structured summary with section headings and bullets for the standup’s main topics. — granola-summary-generated.png

What changed: Image transformed into Image

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Input — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): Editable summary state showing the Tool Research and Publishing heading. — granola-31julymeet-editable-summary-success.png

Input artifact: Input artifact (Image): Input — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): Editable summary state showing the Tool Research and Publishing heading. — granola-31julymeet-editable-summary-success.png

What changed: Image transformed into Image

Why it matters / Conclusion: Good summary structure and useful topic segmentation for post-meeting reading.

On the ~25-minute standup, Granola produced a structured meeting summary and split the discussion into logical topic sections. The test cards cover the summary output and the way it was organized into scan-friendly sections.

INPUT
Input artifact for "Structured Meeting Summaries and Topic Segmentation" test: Input, granola-31-july-meeting-input-artifact.png
↓
OUTPUT
Output artifact for "Structured Meeting Summaries and Topic Segmentation" test: Structured summary with section headings and bullets for the standup’s main topics., granola-summary-generated.png
Structured summary with section headings and bullets for the standup’s main topics.
INPUT
Input artifact for "Structured Meeting Summaries and Topic Segmentation" test: Input, granola-31-july-meeting-input-artifact.png
↓
OUTPUT
Output artifact for "Structured Meeting Summaries and Topic Segmentation" test: Editable summary state showing the Tool Research and Publishing heading., granola-31julymeet-editable-summary-success.png
Editable summary state showing the Tool Research and Publishing heading.
Bottom Line
Good summary structure and useful topic segmentation for post-meeting reading.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Action Item Extraction from Meetings
Granola extracted the real follow-up commitments from the call without obvious false positives.
▾
Test Summary
Feature tested: Action Item Extraction from Meetings
Result: Passed — Granola extracted the real follow-up commitments from the call without obvious false positives.

Feature tested: Action Item Extraction from Meetings

Result: Passed

Verdict: Granola extracted the real follow-up commitments from the call without obvious false positives.

Expected behavior: From the standup, Granola pulled out concrete next steps and presented them as action items. The card is the proof point for extracting follow-ups from a meeting record rather than inventing them.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Google Meet standup used as the source for action-item extraction. — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): Granola extracted a real next-step item from the meeting instead of hallucinating a new task. — granola-31julymeet-action-item-extracted.png

Input artifact: Input artifact (Image): Google Meet standup used as the source for action-item extraction. — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): Granola extracted a real next-step item from the meeting instead of hallucinating a new task. — granola-31julymeet-action-item-extracted.png

What changed: Image transformed into Image

Why it matters / Conclusion: Action items were accurate and grounded in real meeting commitments.

From the standup, Granola pulled out concrete next steps and presented them as action items. The card is the proof point for extracting follow-ups from a meeting record rather than inventing them.

image
Input artifact for "Action Item Extraction from Meetings" test: Google Meet standup used as the source for action-item extraction., granola-31-july-meeting-input-artifact.png
Google Meet standup used as the source for action-item extraction.
↓
image
Output artifact for "Action Item Extraction from Meetings" test: Granola extracted a real next-step item from the meeting instead of hallucinating a new task., granola-31julymeet-action-item-extracted.png
Granola extracted a real next-step item from the meeting instead of hallucinating a new task.
Bottom Line
Action items were accurate and grounded in real meeting commitments.
From our researchearlier researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Calls
Inline Note Editing
Summary and action-item text can be edited inline, but the transcript itself stays locked.
▾
Test Summary
Feature tested: Inline Note Editing
Result: Partial — Summary and action-item text can be edited inline, but the transcript itself stays locked.

Feature tested: Inline Note Editing

Result: Partial

Verdict: Summary and action-item text can be edited inline, but the transcript itself stays locked.

Expected behavior: Granola lets you edit the generated summary and action items before sharing, giving a correction surface for note-level mistakes. The transcript itself is not editable in-product, so transcript errors remain locked in place.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Google Meet standup used as the source for summary editing. — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): The summary is in an editable state, showing that note-level corrections can be made before sharing. — granola-31julymeet-editable-summary-success.png

Input artifact: Input artifact (Image): Google Meet standup used as the source for summary editing. — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): The summary is in an editable state, showing that note-level corrections can be made before sharing. — granola-31julymeet-editable-summary-success.png

What changed: Image transformed into Image

Why it matters / Conclusion: Good correction surface for notes, but transcript errors remain locked in place.

Granola lets you edit the generated summary and action items before sharing, giving a correction surface for note-level mistakes. The transcript itself is not editable in-product, so transcript errors remain locked in place.

image
Input artifact for "Inline Note Editing" test: Google Meet standup used as the source for summary editing., granola-31-july-meeting-input-artifact.png
Google Meet standup used as the source for summary editing.
↓
image
Output artifact for "Inline Note Editing" test: The summary is in an editable state, showing that note-level corrections can be made before sharing., granola-31julymeet-editable-summary-success.png
The summary is in an editable state, showing that note-level corrections can be made before sharing.
Bottom Line
Good correction surface for notes, but transcript errors remain locked in place.
From our researchearlier researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Calls
Search and Chat Across Notes
Granola supports precise keyword search and grounded Q&A over the meeting notes.
▾
Test Summary
Feature tested: Search and Chat Across Notes
Result: Passed — Granola supports precise keyword search and grounded Q&A over the meeting notes.

Feature tested: Search and Chat Across Notes

Result: Passed

Verdict: Granola supports precise keyword search and grounded Q&A over the meeting notes.

Expected behavior: Granola can search within a meeting for a keyword, jump to the matching timestamp, and answer natural-language questions using the notes and transcript. The test inputs cover both exact lookup and cited Q&A on the same meeting record.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Google Meet standup used as the source for search testing. — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): Keyword search returned a direct match in the notes, showing that users can jump to the relevant moment quickly. — granola-31julymeet-search-across-notes-ui-success.png

Input artifact: Input artifact (Image): Google Meet standup used as the source for search testing. — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): Keyword search returned a direct match in the notes, showing that users can jump to the relevant moment quickly. — granola-31julymeet-search-across-notes-ui-success.png

What changed: Image transformed into Image

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Google Meet standup used as the source for chat/Q&A testing. — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): The Q&A answer explicitly cites the notes and transcript to explain the tool-access status and the follow-up testing step. — granola-31julymeet-chat-qna.png

Input artifact: Input artifact (Image): Google Meet standup used as the source for chat/Q&A testing. — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): The Q&A answer explicitly cites the notes and transcript to explain the tool-access status and the follow-up testing step. — granola-31julymeet-chat-qna.png

What changed: Image transformed into Image

Why it matters / Conclusion: Strong meeting-memory layer for both keyword lookup and cited answers.

Granola can search within a meeting for a keyword, jump to the matching timestamp, and answer natural-language questions using the notes and transcript. The test inputs cover both exact lookup and cited Q&A on the same meeting record.

image
Input artifact for "Search and Chat Across Notes" test: Google Meet standup used as the source for search testing., granola-31-july-meeting-input-artifact.png
Google Meet standup used as the source for search testing.
↓
image
Output artifact for "Search and Chat Across Notes" test: Keyword search returned a direct match in the notes, showing that users can jump to the relevant moment quickly., granola-31julymeet-search-across-notes-ui-success.png
Keyword search returned a direct match in the notes, showing that users can jump to the relevant moment quickly.
image
Input artifact for "Search and Chat Across Notes" test: Google Meet standup used as the source for chat/Q&A testing., granola-31-july-meeting-input-artifact.png
Google Meet standup used as the source for chat/Q&A testing.
↓
image
Output artifact for "Search and Chat Across Notes" test: The Q&A answer explicitly cites the notes and transcript to explain the tool-access status and the follow-up testing step., granola-31julymeet-chat-qna.png
The Q&A answer explicitly cites the notes and transcript to explain the tool-access status and the follow-up testing step.
Bottom Line
Strong meeting-memory layer for both keyword lookup and cited answers.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
External Note Sharing and Programmatic Access
Granola supports no-login shared links, a working REST API, and a live MCP connector.
▾
Test Summary
Feature tested: External Note Sharing and Programmatic Access
Result: Passed — Granola supports no-login shared links, a working REST API, and a live MCP connector.

Feature tested: External Note Sharing and Programmatic Access

Result: Passed

Verdict: Granola supports no-login shared links, a working REST API, and a live MCP connector.

Expected behavior: Granola publishes notes as browser-openable links without sign-in and also exposes programmatic access through a REST API and an MCP connector. The test inputs cover guest sharing, API retrieval, and MCP queries against meeting-note data.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Google Meet standup used as the source for share-link testing. — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): The shared notes page opened in a browser without requiring a login, so guests can read the notes directly. — granola-shared-notes-ui.png

Input artifact: Input artifact (Image): Google Meet standup used as the source for share-link testing. — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): The shared notes page opened in a browser without requiring a login, so guests can read the notes directly. — granola-shared-notes-ui.png

What changed: Image transformed into Image

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Google Meet standup used as the source for API testing. — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): The REST API returned note data successfully from a bearer-token request, confirming programmatic access. — granola-31julymeet-api-tested-success.png

Input artifact: Input artifact (Image): Google Meet standup used as the source for API testing. — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): The REST API returned note data successfully from a bearer-token request, confirming programmatic access. — granola-31julymeet-api-tested-success.png

What changed: Image transformed into Image

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): Google Meet standup used as the source for MCP testing. — granola-31-july-meeting-input-artifact.png

Observed output: Output artifact (Image): The Claude/MCP connection returned meeting details successfully, confirming that the hosted MCP path works. — granola-31julymeet-mcp-qna-tested-success.png

Input artifact: Input artifact (Image): Google Meet standup used as the source for MCP testing. — granola-31-july-meeting-input-artifact.png

Output artifact: Output artifact (Image): The Claude/MCP connection returned meeting details successfully, confirming that the hosted MCP path works. — granola-31julymeet-mcp-qna-tested-success.png

What changed: Image transformed into Image

Why it matters / Conclusion: Excellent external-access story: guest sharing works, the API works, and MCP is live.

Granola publishes notes as browser-openable links without sign-in and also exposes programmatic access through a REST API and an MCP connector. The test inputs cover guest sharing, API retrieval, and MCP queries against meeting-note data.

image
Input artifact for "External Note Sharing and Programmatic Access" test: Google Meet standup used as the source for share-link testing., granola-31-july-meeting-input-artifact.png
Google Meet standup used as the source for share-link testing.
↓
image
Output artifact for "External Note Sharing and Programmatic Access" test: The shared notes page opened in a browser without requiring a login, so guests can read the notes directly., granola-shared-notes-ui.png
The shared notes page opened in a browser without requiring a login, so guests can read the notes directly.
image
Input artifact for "External Note Sharing and Programmatic Access" test: Google Meet standup used as the source for API testing., granola-31-july-meeting-input-artifact.png
Google Meet standup used as the source for API testing.
↓
image
Output artifact for "External Note Sharing and Programmatic Access" test: The REST API returned note data successfully from a bearer-token request, confirming programmatic access., granola-31julymeet-api-tested-success.png
The REST API returned note data successfully from a bearer-token request, confirming programmatic access.
image
Input artifact for "External Note Sharing and Programmatic Access" test: Google Meet standup used as the source for MCP testing., granola-31-july-meeting-input-artifact.png
Google Meet standup used as the source for MCP testing.
↓
image
Output artifact for "External Note Sharing and Programmatic Access" test: The Claude/MCP connection returned meeting details successfully, confirming that the hosted MCP path works., granola-31julymeet-mcp-qna-tested-success.png
The Claude/MCP connection returned meeting details successfully, confirming that the hosted MCP path works.
Bottom Line
Excellent external-access story: guest sharing works, the API works, and MCP is live.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Multilingual Transcription and Summarization
Broad documented coverage, untested in this cycle
▾
Test Summary
Feature tested: Multilingual Transcription and Summarization
Result: Partial — Broad documented coverage, untested in this cycle

Feature tested: Multilingual Transcription and Summarization

Result: Partial

Verdict: Broad documented coverage, untested in this cycle

Expected behavior: Granola documents multi-language transcription and summaries across desktop and mobile, including a stated 17-language coverage claim. The evaluation here only verified English, so multilingual accuracy remains untested in this report.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): Input

Observed output: Output artifact (Image): Help-center page listing the supported languages across desktop and mobile. — granola-31julymeet-full-action-items-list.png

Input artifact: Input artifact (Text prompt): Input

Output artifact: Output artifact (Image): Help-center page listing the supported languages across desktop and mobile. — granola-31julymeet-full-action-items-list.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Coverage looks broad, but multilingual accuracy remains unverified in this report.

Granola documents multi-language transcription and summaries across desktop and mobile, including a stated 17-language coverage claim. The evaluation here only verified English, so multilingual accuracy remains untested in this report.

INPUT
Review Granola's multilingual support documentation.
↓
OUTPUT
Output artifact for "Multilingual Transcription and Summarization" test: Help-center page listing the supported languages across desktop and mobile., granola-31julymeet-full-action-items-list.png
Help-center page listing the supported languages across desktop and mobile.
Bottom Line
Coverage looks broad, but multilingual accuracy remains unverified in this report.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Native Integrations and Automations
Extensive ecosystem
▾
Test Summary
Feature tested: Native Integrations and Automations
Result: Partial — Extensive ecosystem

Feature tested: Native Integrations and Automations

Result: Partial

Verdict: Extensive ecosystem

Expected behavior: Granola connects to external tools such as Slack, Notion, HubSpot, Affinity, and Attio, and also supports Zapier-based automations plus major meeting-platform integrations. The card is about connector breadth rather than a single integration.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): Input

Observed output: Output artifact (Image): Help-center page listing Zapier, Notion, Slack, and CRM integration options. — granola-31julymeet-pricing-plans.png

Input artifact: Input artifact (Text prompt): Input

Output artifact: Output artifact (Image): Help-center page listing Zapier, Notion, Slack, and CRM integration options. — granola-31julymeet-pricing-plans.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Integrations are broad, but native connections and Zapier sit behind the Business plan.

Granola connects to external tools such as Slack, Notion, HubSpot, Affinity, and Attio, and also supports Zapier-based automations plus major meeting-platform integrations. The card is about connector breadth rather than a single integration.

INPUT
Review Granola's integrations documentation.
↓
OUTPUT
Output artifact for "Native Integrations and Automations" test: Help-center page listing Zapier, Notion, Slack, and CRM integration options., granola-31julymeet-pricing-plans.png
Help-center page listing Zapier, Notion, Slack, and CRM integration options.
Bottom Line
Integrations are broad, but native connections and Zapier sit behind the Business plan.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research

Granola plans reviewed in the test

The live pricing page shows a free Basic tier plus paid Business and Enterprise plans.

TESTED
Basic
$0 per user per month
Great for a free taste of Granola. Includes AI meeting notes, limited meeting history, AI chat within and across meetings, shared folders for collaboration, templates, and MCP.
Business
$14 per user per month
Great for individuals or small teams. Unlocks native integrations and Zapier.
Enterprise
$35 per user per month
Great for larger companies. Includes enterprise-grade security and admin controls.

The Basic tier includes AI notes, limited meeting history, AI chat, shared folders, and MCP. Business adds native integrations and Zapier. The published meeting-history cap for Basic was not quantified in the research.

✓ Use This If
●you want botless Google Meet capture without a meeting bot joining the call
●you need searchable, shareable meeting notes with no-login guest access
●you want API or MCP access to meeting data, and you are comfortable with note-level editing rather than transcript editing
✕ Skip This If
●you need a highly accurate raw transcript from a normal multi-speaker standup
●you need speaker attribution on day one without finding a hidden settings toggle
●you need to correct transcript text inside the app after capture
productivitydocumentation-toolstextFounderOther
Yes. In this test, Granola used botless desktop capture and recorded the full ~25-minute Google Meet standup without a mid-call drop or forced cutoff.
Not reliable enough for accountability. The transcript had recurring misheard phrases across the meeting, and one visible example rendered the name "Ayush" as "Aosh".
No. The tested default state had speaker tags turned off in settings, so the transcript opened without speaker attribution unless that setting is enabled.
Yes. The generated notes included a structured summary and logical topic segmentation that made the standup skimmable and easy to navigate.
It extracted real commitments from the standup and presented them as next steps. The research did not find obvious false positives in the action-item list.
Yes, but only partially. Summary and action-item text can be edited inline, while the transcript itself is locked and cannot be corrected inside the app.
Yes. The shared notes link opened in a browser without requiring sign-in, so external viewers could read the notes directly.
Yes. The test confirmed a working REST API and a live MCP connector. The research also notes that Basic-plan MCP is limited to recent notes and does not expose full transcripts.
The pricing page showed Basic at $0 per user per month, Business at $14 per user per month, and Enterprise at $35 per user per month.
The research found 17 supported languages in the product documentation: 10 on macOS/Windows and 7 additional on iOS/Android. English was the only language actually tested in this evaluation.

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