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Fathom

Reliable meeting notes, search, and sharing from live calls, with a caveat on speaker attribution.

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Unlimited freeAPI + MCP38 languagesGoogle Meet bot
TL;DR — our verdictUpdated August 2026 · 23 test artifacts

Strong meeting memory, with speaker-attribution checks

Where it wins
  • You want a searchable, shareable meeting record with transcript, summary, and action items.
  • You want a true free tier with unlimited recordings/transcriptions and a usable API.
  • You want API or MCP access for downstream automation or agent queries.
Main limitation
  • You need perfectly reliable speaker attribution in fast-turn multi-speaker calls.
Pricing (verified plans)
Free $0 Free forever.Premium $16 /month / per userTeam $15 /month / per user
Strongest test artifacts
OUTPUT →Meeting Summaries →Action-Item Extraction →

Our take

Fathom came through as a production-ready meeting assistant in this test: it captured a usable transcript, generated a structured summary and real action items, and made the notes searchable, shareable, and accessible through both API and MCP. The main caveat is attribution — a few speaker/name labels were wrong, so fast-turn and named-person outputs should be checked before acting on them.

Download video: Demo videoWatch video (streaming): Demo video0:00 — Google Search0:19 — Login Page0:27 — Fathom Dashboard0:39 — Fathom Overview0:45 — Video Conferences1:00 — Video Conferences (continued)1:14 — Advanced Features1:23 — Holdout Options1:30 — Dashboard (continued)1:40 — Video Player
Screen recording showing Fathom setup/customization.

In-Depth Review

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

AD
AI Demos Team
Expert Reviewer
Verified Review

Feature-by-Feature Breakdown

Automated Meeting Capture
▾
Test Summary
Feature tested: Automated Meeting Capture
Result: Partial

Feature tested: Automated Meeting Capture

Result: Partial

Expected behavior: Fathom can join a live Google Meet as a bot and keep recording through the call; the tested standup stayed connected for the full meeting.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): 31 July 2026 AI Demos daily standup on Google Meet, about 25 minutes long, with one Fathom bot joining alongside other notetakers. — 31-july-meeting-screenshot.png

Observed output: Output artifact (Image): The bot/note-taker appears to have joined the meeting successfully. — fathom-bot-meeting-joined-success.png

Input artifact: Input artifact (Image): 31 July 2026 AI Demos daily standup on Google Meet, about 25 minutes long, with one Fathom bot joining alongside other notetakers. — 31-july-meeting-screenshot.png

Output artifact: Output artifact (Image): The bot/note-taker appears to have joined the meeting successfully. — fathom-bot-meeting-joined-success.png

What changed: Image transformed into Image

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): 31 July 2026 AI Demos daily standup on Google Meet, about 25 minutes long, with one Fathom bot joining alongside other notetakers. — 31-july-meeting-screenshot.png

Observed output: Output artifact (Image): The recording remained available near the end of playback, corroborating full-session capture without a mid-call drop. — fathom-bot-till-end-of-meeting-join-reliability-success.png

Input artifact: Input artifact (Image): 31 July 2026 AI Demos daily standup on Google Meet, about 25 minutes long, with one Fathom bot joining alongside other notetakers. — 31-july-meeting-screenshot.png

Output artifact: Output artifact (Image): The recording remained available near the end of playback, corroborating full-session capture without a mid-call drop. — fathom-bot-till-end-of-meeting-join-reliability-success.png

What changed: Image transformed into Image

Test case: Video file → Image

Input type: Video file

Input used: Input artifact (Video file): 31 July 2026 AI Demos daily standup in Google Meet (~25 min, ~10 active speakers, normal audio). — 31-july-meeting-artifact.webm

Observed output: Output artifact (Image): Fathom generated a readable transcript for the tested standup; most of the content was captured correctly, but one visible name error rendered "Mahreen" as "Meryl." — fathom-meeting-transcript-generated-success.png

Input artifact: Input artifact (Video file): 31 July 2026 AI Demos daily standup in Google Meet (~25 min, ~10 active speakers, normal audio). — 31-july-meeting-artifact.webm

Output artifact: Output artifact (Image): Fathom generated a readable transcript for the tested standup; most of the content was captured correctly, but one visible name error rendered "Mahreen" as "Meryl." — fathom-meeting-transcript-generated-success.png

What changed: Video file transformed into Image

Why it matters / Conclusion: Join reliability looked solid in this normal standup.

Fathom can join a live Google Meet as a bot and keep recording through the call; the tested standup stayed connected for the full meeting.

audio
Input artifact for "Automated Meeting Capture" test: 31 July 2026 AI Demos daily standup on Google Meet, about 25 minutes long, with one Fathom bot joining alongside other notetakers., 31-july-meeting-screenshot.png
31 July 2026 AI Demos daily standup on Google Meet, about 25 minutes long, with one Fathom bot joining alongside other notetakers.
↓
image
Output artifact for "Automated Meeting Capture" test: The bot/note-taker appears to have joined the meeting successfully., fathom-bot-meeting-joined-success.png
The bot/note-taker appears to have joined the meeting successfully.
audio
Input artifact for "Automated Meeting Capture" test: 31 July 2026 AI Demos daily standup on Google Meet, about 25 minutes long, with one Fathom bot joining alongside other notetakers., 31-july-meeting-screenshot.png
31 July 2026 AI Demos daily standup on Google Meet, about 25 minutes long, with one Fathom bot joining alongside other notetakers.
↓
image
Output artifact for "Automated Meeting Capture" test: The recording remained available near the end of playback, corroborating full-session capture without a mid-call drop., fathom-bot-till-end-of-meeting-join-reliability-success.png
The recording remained available near the end of playback, corroborating full-session capture without a mid-call drop.
audio
Download video: 31-july-meeting-artifact.webm
31 July 2026 AI Demos daily standup in Google Meet (~25 min, ~10 active speakers, normal audio).
↓
image
Output artifact for "Automated Meeting Capture" test: Fathom generated a readable transcript for the tested standup; most of the content was captured correctly, but one visible name error rendered "Mahreen" as "Meryl.", fathom-meeting-transcript-generated-success.png
Fathom generated a readable transcript for the tested standup; most of the content was captured correctly, but one visible name error rendered "Mahreen" as "Meryl."
Bottom Line
Join reliability looked solid in this normal standup.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Speech-to-Text Transcription
▾
Test Summary
Feature tested: Speech-to-Text Transcription
Result: Partial

Feature tested: Speech-to-Text Transcription

Result: Partial

Expected behavior: Fathom produces a readable meeting transcript for the tested standup, capturing most names, jargon, and numbers correctly while still allowing some name-level errors.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): 31 July 2026 standup with typical engineering jargon, names, and numbers. — 31-july-meeting-screenshot.png

Observed output: Output artifact (Image): Fathom generated a readable transcript for the standup, with the transcript pane showing a coherent conversation thread. — fathom-meeting-transcript-generated-success.png

Input artifact: Input artifact (Image): 31 July 2026 standup with typical engineering jargon, names, and numbers. — 31-july-meeting-screenshot.png

Output artifact: Output artifact (Image): Fathom generated a readable transcript for the standup, with the transcript pane showing a coherent conversation thread. — fathom-meeting-transcript-generated-success.png

What changed: Image transformed into Image

Why it matters / Conclusion: Mostly accurate, but name-level corrections are still needed.

Fathom produces a readable meeting transcript for the tested standup, capturing most names, jargon, and numbers correctly while still allowing some name-level errors.

audio
Input artifact for "Speech-to-Text Transcription" test: 31 July 2026 standup with typical engineering jargon, names, and numbers., 31-july-meeting-screenshot.png
31 July 2026 standup with typical engineering jargon, names, and numbers.
↓
image
Output artifact for "Speech-to-Text Transcription" test: Fathom generated a readable transcript for the standup, with the transcript pane showing a coherent conversation thread., fathom-meeting-transcript-generated-success.png
Fathom generated a readable transcript for the standup, with the transcript pane showing a coherent conversation thread.
Bottom Line
Mostly accurate, but name-level corrections are still needed.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Calls
Speaker Attribution
▾
Test Summary
Feature tested: Speaker Attribution
Result: Partial

Feature tested: Speaker Attribution

Result: Partial

Expected behavior: Fathom labels speakers in multi-speaker transcripts, mostly attributing turns correctly even when fast transitions can merge or mislabel turns.

Test case: Video file → Image

Input type: Video file

Input used: Input artifact (Video file): 31 July standup with ~10 active speakers and frequent speaker transitions. — 31-july-meeting-artifact.webm

Observed output: Output artifact (Image): Fathom applied speaker labels across the transcript and handled most turns correctly on the multi-speaker standup. — fathom-speaker-diariazation-success.png

Input artifact: Input artifact (Video file): 31 July standup with ~10 active speakers and frequent speaker transitions. — 31-july-meeting-artifact.webm

Output artifact: Output artifact (Image): Fathom applied speaker labels across the transcript and handled most turns correctly on the multi-speaker standup. — fathom-speaker-diariazation-success.png

What changed: Video file transformed into Image

Why it matters / Conclusion: Good overall, with a real attribution risk in fast-turn segments.

Fathom labels speakers in multi-speaker transcripts, mostly attributing turns correctly even when fast transitions can merge or mislabel turns.

audio
Download video: 31-july-meeting-artifact.webm
31 July standup with ~10 active speakers and frequent speaker transitions.
↓
image
Output artifact for "Speaker Attribution" test: Fathom applied speaker labels across the transcript and handled most turns correctly on the multi-speaker standup., fathom-speaker-diariazation-success.png
Fathom applied speaker labels across the transcript and handled most turns correctly on the multi-speaker standup.
Bottom Line
Good overall, with a real attribution risk in fast-turn segments.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Meeting Summaries
▾
Test Summary
Feature tested: Meeting Summaries
Result: Passed

Feature tested: Meeting Summaries

Result: Passed

Expected behavior: Fathom turns the meeting into a structured, scannable summary with purpose, key takeaways, and named topic sections that mirror the meeting flow.

Test case: Video file → Image

Input type: Video file

Input used: Input artifact (Video file): 31 July 2026 standup with multiple discussion threads and action points. — 31-july-meeting-artifact.webm

Observed output: Output artifact (Image): Fathom produced a structured summary with a meeting purpose and key takeaways, showing that it can create a skimmable recap after the call. — fathom-meeting-summary-generated-success.png

Input artifact: Input artifact (Video file): 31 July 2026 standup with multiple discussion threads and action points. — 31-july-meeting-artifact.webm

Output artifact: Output artifact (Image): Fathom produced a structured summary with a meeting purpose and key takeaways, showing that it can create a skimmable recap after the call. — fathom-meeting-summary-generated-success.png

What changed: Video file transformed into Image

Test case: Video file → Image

Input type: Video file

Input used: Input artifact (Video file): Same standup, checked for topic breaks in the generated notes. — 31-july-meeting-artifact.webm

Observed output: Output artifact (Image): The summary is segmented into named topics rather than one undifferentiated block, which makes the output easier to scan and navigate. — fathom-topic-segmentation-success.png

Input artifact: Input artifact (Video file): Same standup, checked for topic breaks in the generated notes. — 31-july-meeting-artifact.webm

Output artifact: Output artifact (Image): The summary is segmented into named topics rather than one undifferentiated block, which makes the output easier to scan and navigate. — fathom-topic-segmentation-success.png

What changed: Video file transformed into Image

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): INPUT: Same standup, checked for the detailed topic structure inside the summary. — 31-july-meeting-screenshot.png

Observed output: Output artifact (Image): Topic section snippet showing structured subheadings and bullet structure. — fathom-meeting-summary-topics-section-snippet.png

Input artifact: Input artifact (Image): INPUT: Same standup, checked for the detailed topic structure inside the summary. — 31-july-meeting-screenshot.png

Output artifact: Output artifact (Image): Topic section snippet showing structured subheadings and bullet structure. — fathom-meeting-summary-topics-section-snippet.png

What changed: Image transformed into Image

Why it matters / Conclusion: Clear, structured, and useful for quick review.

Fathom turns the meeting into a structured, scannable summary with purpose, key takeaways, and named topic sections that mirror the meeting flow.

audio
Download video: 31-july-meeting-artifact.webm
31 July 2026 standup with multiple discussion threads and action points.
↓
image
Output artifact for "Meeting Summaries" test: Fathom produced a structured summary with a meeting purpose and key takeaways, showing that it can create a skimmable recap after the call., fathom-meeting-summary-generated-success.png
Fathom produced a structured summary with a meeting purpose and key takeaways, showing that it can create a skimmable recap after the call.
audio
Download video: 31-july-meeting-artifact.webm
Same standup, checked for topic breaks in the generated notes.
↓
image
Output artifact for "Meeting Summaries" test: The summary is segmented into named topics rather than one undifferentiated block, which makes the output easier to scan and navigate., fathom-topic-segmentation-success.png
The summary is segmented into named topics rather than one undifferentiated block, which makes the output easier to scan and navigate.
audio
Input artifact for "Meeting Summaries" test: INPUT: Same standup, checked for the detailed topic structure inside the summary., 31-july-meeting-screenshot.png
INPUT: Same standup, checked for the detailed topic structure inside the summary.
↓
OUTPUT
Output artifact for "Meeting Summaries" test: Topic section snippet showing structured subheadings and bullet structure., fathom-meeting-summary-topics-section-snippet.png
Topic section snippet showing structured subheadings and bullet structure.
Bottom Line
Clear, structured, and useful for quick review.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Action-Item Extraction
▾
Test Summary
Feature tested: Action-Item Extraction
Result: Passed

Feature tested: Action-Item Extraction

Result: Passed

Expected behavior: Fathom extracts commitments from the meeting and attaches owners to them, including action-item lists pulled from the tested call.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): INPUT: 25-minute standup with real commitments made by named participants. — 31-july-meeting-screenshot.png

Observed output: Output artifact (Image): Single extracted action item with a checkbox-style task entry. — fathom-action-item-extracted-success.png

Input artifact: Input artifact (Image): INPUT: 25-minute standup with real commitments made by named participants. — 31-july-meeting-screenshot.png

Output artifact: Output artifact (Image): Single extracted action item with a checkbox-style task entry. — fathom-action-item-extracted-success.png

What changed: Image transformed into Image

Why it matters / Conclusion: Captured the real commitments without obvious false positives.

Fathom extracts commitments from the meeting and attaches owners to them, including action-item lists pulled from the tested call.

audio
Input artifact for "Action-Item Extraction" test: INPUT: 25-minute standup with real commitments made by named participants., 31-july-meeting-screenshot.png
INPUT: 25-minute standup with real commitments made by named participants.
↓
OUTPUT
Output artifact for "Action-Item Extraction" test: Single extracted action item with a checkbox-style task entry., fathom-action-item-extracted-success.png
Single extracted action item with a checkbox-style task entry.
Bottom Line
Captured the real commitments without obvious false positives.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Editable Meeting Outputs
▾
Test Summary
Feature tested: Editable Meeting Outputs
Result: Passed

Feature tested: Editable Meeting Outputs

Result: Passed

Expected behavior: Fathom lets users edit extracted action items inline and refine summaries with instructions before regenerating the output.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): An action item row shows an edit pencil, indicating the extracted task can be edited inline. — fathom-action-item-editability-success.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): An action item row shows an edit pencil, indicating the extracted task can be edited inline. — fathom-action-item-editability-success.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The same action item is shown in edit mode with the caret active inside the text. — fathom-action-item-editing-success.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The same action item is shown in edit mode with the caret active inside the text. — fathom-action-item-editing-success.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The summary can be customized by giving the AI instructions and regenerating the template. — fathom-summary-customizable-feature.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The summary can be customized by giving the AI instructions and regenerating the template. — fathom-summary-customizable-feature.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Outputs are correctable before sharing.

Fathom lets users edit extracted action items inline and refine summaries with instructions before regenerating the output.

text
Post-meeting Fathom outputs for action items and summary.
↓
image
Output artifact for "Editable Meeting Outputs" test: An action item row shows an edit pencil, indicating the extracted task can be edited inline., fathom-action-item-editability-success.png
An action item row shows an edit pencil, indicating the extracted task can be edited inline.
text
Post-meeting Fathom outputs for action items and summary.
↓
image
Output artifact for "Editable Meeting Outputs" test: The same action item is shown in edit mode with the caret active inside the text., fathom-action-item-editing-success.png
The same action item is shown in edit mode with the caret active inside the text.
text
Post-meeting Fathom outputs for action items and summary.
↓
image
Output artifact for "Editable Meeting Outputs" test: The summary can be customized by giving the AI instructions and regenerating the template., fathom-summary-customizable-feature.png
The summary can be customized by giving the AI instructions and regenerating the template.
Bottom Line
Outputs are correctable before sharing.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Meeting Q&A Assistant
▾
Test Summary
Feature tested: Meeting Q&A Assistant
Result: Passed

Feature tested: Meeting Q&A Assistant

Result: Passed

Expected behavior: Fathom answers plain-language questions about the meeting using grounded references to the transcript, including schedule and action-item questions.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): Ask Fathom answers that the call was scheduled for 6th August and cites the related meeting mention. — fathom-chat-query-and-answer-success.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): Ask Fathom answers that the call was scheduled for 6th August and cites the related meeting mention. — fathom-chat-query-and-answer-success.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The Ask Fathom pane shows a successful question-and-answer interaction about meeting action items. — fathom-meeting-chat-query-success.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The Ask Fathom pane shows a successful question-and-answer interaction about meeting action items. — fathom-meeting-chat-query-success.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Good for post-call questions on the tested meeting.

Fathom answers plain-language questions about the meeting using grounded references to the transcript, including schedule and action-item questions.

text
Ask Fathom: for what date was a call scheduled related to a person's work?
↓
image
Output artifact for "Meeting Q&A Assistant" test: Ask Fathom answers that the call was scheduled for 6th August and cites the related meeting mention., fathom-chat-query-and-answer-success.png
Ask Fathom answers that the call was scheduled for 6th August and cites the related meeting mention.
text
Ask Fathom: what were the action items for the meeting?
↓
image
Output artifact for "Meeting Q&A Assistant" test: The Ask Fathom pane shows a successful question-and-answer interaction about meeting action items., fathom-meeting-chat-query-success.png
The Ask Fathom pane shows a successful question-and-answer interaction about meeting action items.
Bottom Line
Good for post-call questions on the tested meeting.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Calls
Meeting Data API
▾
Test Summary
Feature tested: Meeting Data API
Result: Passed

Feature tested: Meeting Data API

Result: Passed

Expected behavior: Fathom exposes REST API endpoints that returned successful responses for summary, transcript, and meeting-listing data in the test script.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The API docs describe Fathom's REST API, including API-key authentication and rate limiting. — fathom-api-docs.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The API docs describe Fathom's REST API, including API-key authentication and rate limiting. — fathom-api-docs.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): A Python script and terminal output show a successful Fathom API summary response. — fathom-api-tested-success.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): A Python script and terminal output show a successful Fathom API summary response. — fathom-api-tested-success.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The API access screen shows the option to generate an API key or build an OAuth app, confirming that programmatic access is intentionally supported. — fathom-api-docs-2.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The API access screen shows the option to generate an API key or build an OAuth app, confirming that programmatic access is intentionally supported. — fathom-api-docs-2.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Programmatic access worked in the test.

Fathom exposes REST API endpoints that returned successful responses for summary, transcript, and meeting-listing data in the test script.

text
Review Fathom REST API docs for authentication and rate limits.
↓
image
Output artifact for "Meeting Data API" test: The API docs describe Fathom's REST API, including API-key authentication and rate limiting., fathom-api-docs.png
The API docs describe Fathom's REST API, including API-key authentication and rate limiting.
text
Call the Fathom REST API summary endpoint with an API key and print the response.
↓
image
Output artifact for "Meeting Data API" test: A Python script and terminal output show a successful Fathom API summary response., fathom-api-tested-success.png
A Python script and terminal output show a successful Fathom API summary response.
INPUT
Inspect the API access screen for key generation or OAuth app setup.
↓
image
Output artifact for "Meeting Data API" test: The API access screen shows the option to generate an API key or build an OAuth app, confirming that programmatic access is intentionally supported., fathom-api-docs-2.png
The API access screen shows the option to generate an API key or build an OAuth app, confirming that programmatic access is intentionally supported.
Bottom Line
Programmatic access worked in the test.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Claude MCP Integration
▾
Test Summary
Feature tested: Claude MCP Integration
Result: Partial

Feature tested: Claude MCP Integration

Result: Partial

Expected behavior: Fathom connects to Claude through MCP so meeting-specific questions can be asked from that environment, though one named-person query was misattributed in testing.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): Claude shows the Fathom Search Meetings tool as connected and ready for approval. — fathom-claude-mcp-connected-success.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): Claude shows the Fathom Search Meetings tool as connected and ready for approval. — fathom-claude-mcp-connected-success.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Useful integration, but named-person answers need verification.

Fathom connects to Claude through MCP so meeting-specific questions can be asked from that environment, though one named-person query was misattributed in testing.

text
Connect Fathom to Claude and ask about a meeting-specific question through MCP.
↓
image
Output artifact for "Claude MCP Integration" test: Claude shows the Fathom Search Meetings tool as connected and ready for approval., fathom-claude-mcp-connected-success.png
Claude shows the Fathom Search Meetings tool as connected and ready for approval.
Bottom Line
Useful integration, but named-person answers need verification.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research
Recording Mode Controls
▾
Test Summary
Feature tested: Recording Mode Controls
Result: Partial

Feature tested: Recording Mode Controls

Result: Partial

Expected behavior: Fathom provides capture-mode settings such as all meetings, external meetings, internal meetings, or manual recording, and it also notes a botless option in beta.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The settings menu shows capture-mode choices including all meetings, external meetings, internal meetings, and manual recording. — fathom-meeting-options.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The settings menu shows capture-mode choices including all meetings, external meetings, internal meetings, and manual recording. — fathom-meeting-options.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Good control over how the bot joins, though botless is still beta.

Fathom provides capture-mode settings such as all meetings, external meetings, internal meetings, or manual recording, and it also notes a botless option in beta.

text
Review Fathom's meeting recording settings and capture-mode options.
↓
image
Output artifact for "Recording Mode Controls" test: The settings menu shows capture-mode choices including all meetings, external meetings, internal meetings, and manual recording., fathom-meeting-options.png
The settings menu shows capture-mode choices including all meetings, external meetings, internal meetings, and manual recording.
Bottom Line
Good control over how the bot joins, though botless is still beta.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Calls
Native App Integrations
▾
Test Summary
Feature tested: Native App Integrations
Result: Passed

Feature tested: Native App Integrations

Result: Passed

Expected behavior: Fathom’s integrations gallery includes major tools and meeting platforms such as Claude, ChatGPT, HubSpot, Asana, Slack, and Salesforce.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The integrations gallery lists apps such as Claude, ChatGPT, HubSpot, Asana, Slack, Salesforce, Google Meet, Zoom, and Microsoft Teams. — fathom-integrations-available.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The integrations gallery lists apps such as Claude, ChatGPT, HubSpot, Asana, Slack, Salesforce, Google Meet, Zoom, and Microsoft Teams. — fathom-integrations-available.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Breadth looks strong across collaboration, CRM, and meeting platforms.

Fathom’s integrations gallery includes major tools and meeting platforms such as Claude, ChatGPT, HubSpot, Asana, Slack, and Salesforce.

text
Review Fathom's integrations gallery for supported apps and platforms.
↓
image
Output artifact for "Native App Integrations" test: The integrations gallery lists apps such as Claude, ChatGPT, HubSpot, Asana, Slack, Salesforce, Google Meet, Zoom, and Microsoft Teams., fathom-integrations-available.png
The integrations gallery lists apps such as Claude, ChatGPT, HubSpot, Asana, Slack, Salesforce, Google Meet, Zoom, and Microsoft Teams.
Bottom Line
Breadth looks strong across collaboration, CRM, and meeting platforms.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Calls
Multilingual Transcription
▾
Test Summary
Feature tested: Multilingual Transcription
Result: Passed

Feature tested: Multilingual Transcription

Result: Passed

Expected behavior: Fathom documents transcript support for 38 languages; the evaluation itself only exercised English, so the multilingual claim is documentation-backed here.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The help article states that Fathom currently supports transcripts in 38 languages. — fathom-language-support.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The help article states that Fathom currently supports transcripts in 38 languages. — fathom-language-support.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Broad language coverage on paper, though only English was exercised here.

Fathom documents transcript support for 38 languages; the evaluation itself only exercised English, so the multilingual claim is documentation-backed here.

text
Check Fathom's help documentation for supported transcript languages.
↓
image
Output artifact for "Multilingual Transcription" test: The help article states that Fathom currently supports transcripts in 38 languages., fathom-language-support.png
The help article states that Fathom currently supports transcripts in 38 languages.
Bottom Line
Broad language coverage on paper, though only English was exercised here.
From our researchAI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Callsearlier research

Pricing to supercharge every meeting

Free
$0 Free forever.
Unlimited recordings, instant call summaries, integrations with LLMs & more.
Premium
$16 /month / per user
Everything from Free; advanced call summaries, AI-generated action items, conversational meeting assistant.
Team
$15 /month / per user (2 user min)
Everything from Premium; global search across calls, playlists of highlights from meetings, collaboration using comments, folders, keyword alerts.

Annual billing saves 25%+; paid plans show a 90-day guarantee.

✓ Use This If
●You want a searchable, shareable meeting record with transcript, summary, and action items.
●You want a true free tier with unlimited recordings/transcriptions and a usable API.
●You want API or MCP access for downstream automation or agent queries.
✕ Skip This If
●You need perfectly reliable speaker attribution in fast-turn multi-speaker calls.
●You need production-ready botless capture today rather than a beta/manual option.
●You need named-person MCP answers to be safe without verification.
productivityplanning-toolsspeechFounderOther
It was mostly accurate and readable for the standup, with most jargon, tools, and numbers captured correctly. The clearest confirmed error was a name-level miss: 'Mahreen' appeared as 'Meryl' in one transcript snippet.
Mostly yes, but not perfectly. The transcript handled the multi-speaker standup well overall, yet one rapid transition was merged into a single speaker block and one transcript line showed an attribution issue.
Yes. The test produced a structured summary with Meeting Purpose, Key Takeaways, and Topics, plus an action-items list with owner attribution.
Yes. A keyword search returned a matching transcript snippet with an exact timestamp and surfaced the related action item.
Yes. Ask Fathom returned grounded answers that referenced the meeting content rather than generic model memory.
Yes. The share modal shows link-based access and the evaluation confirmed recipients did not hit a signup wall when opening shared content.
Yes. The report successfully tested the REST API, and it also connected Fathom to Claude through MCP. The caution is that one named-person MCP answer misattributed ownership, so verification is still wise.
The pricing screenshots show a Free plan at $0 forever, Premium at $16 per user per month, and Team at $15 per user per month with a 2-user minimum. The free plan includes unlimited recordings and instant call summaries.
The help article says transcripts are supported in 38 languages. English was the only language directly tested in this evaluation.
Yes. Action items can be edited inline, and summaries can be customized by giving the AI instructions and regenerating the template.

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