Evidence · first-party tested/Best AI Meeting Notetakers for Accurate Transcripts, Summaries, and Action Items
The meeting recap was reported as clearly structured and complete, with the key decisions and discussion points preserved and nothing important dropped.
What was measured
Summary Quality
Captures decisions and key points, is structured and skimmable, and drops nothing important.
decisive for this rankingtransformation
The product is being judged on whether it produces a useful meeting summary that preserves key decisions and points without missing important content. (3 of 3 judges)
What was given, what came back
Test input: AI Demos Daily Standup — 31 July 2026 · image · group: ai-meeting-notetaker
Input — what we sent
AI Demos Daily Standup — 31 July 2026
A real 25-minute technical engineering daily standup with 14 attendees and about 10 active speakers, used as the single parallel-capture meeting for evaluating AI meeting notetakers on transcription, diarization, summaries, action items, search/chat, and collaboration features.
Why this input is hard
- · Transcription accuracy for real names, tool names, numbers, and technical jargon
- · Speaker diarization across multiple active speakers
- · Robustness to overlapping speech, crosstalk, and rapid turn-taking
- · Join reliability for bot-based and botless capture
- · Summary quality on identical source material
- · Action-item extraction with correct owners and commitments
- · Topic segmentation of standup updates
- · Search and chat grounded in the meeting content
- · Sharing, API, MCP, integrations, plan limits, languages, and privacy feature coverage
Output — unretouched
Also checked on this input — same tool, 9 other criteria
Action-Item Extraction◐ MixedAction-item extraction was mostly correct, with real commitments and proper owner assignment for most items, but one real action item was misplaced from Mahreen to Anshika; the report states a 95%+ capture rate.Chat with Notes / Ask Questions✓ WorkedAsk Fellow returned grounded answers to natural-language questions against the meeting notes, and the tested query produced a cited response rather than an unsupported hallucination.Editability◐ MixedSummary and action items are editable inline before sharing, but the transcript itself is locked for audit-trail purposes, so editing is only partial.Join Method & Reliability✓ WorkedThe bot auto-joined via Google Calendar integration and stayed connected for the full meeting capture without drops or disconnections, including the late closing portion of the call.Search Across Notes✓ WorkedTranscript search works with exact timestamp retrieval for matching terms, letting users jump to precise moments within the meeting; the report notes cross-meeting search was untested.Sharing Without Registration✓ WorkedShared recap links can be opened by anyone with the link without creating a Fellow account, and the share modal also offers optional password protection for viewers outside the workspace.Speaker Diarization✓ WorkedThe transcript attributed speaker turns correctly across the standup, with all ~10 speakers labeled by name and no attribution errors or generic labels reported.Topic Segmentation✓ WorkedThe tool broke the standup into logical topic sections with clear headers and separated discussion points, rather than leaving the meeting as one undifferentiated blob.Transcription Accuracy✓ WorkedThe transcript was near-clean: the tool captured nearly all names, technical jargon, and numbers correctly, with no significant misheard terms or hallucinations observed in the tested meeting.
Provenance
- Observation
- d89239cd-ae18-4967-90d8-e968276badf1
- Evidence run
- ace58582-3d1e-48ee-996c-9b3cd03f27a2
- Study
- AI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Calls
- Research task
- 86baxegnv
- Tested at
- not recorded
- Source
- first-party
- Evidence state
- verified
- Proof shown
- input + output shown
- Cost / latency
- not captured
- Repeat run
- not captured
- Tester
- not captured
The last three rows are honest blanks, not placeholders — our capture has no field for them yet.
Query this
get_evidence({
tool: "fellow",
scenario: "ai-meeting-notetaker"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 7 other tools
measured on Summary Quality
Fathom✓ WorkedFathom produces a skimmable written recap with named sections such as Meeting Purpose, Key Takeaways, and Topics; the report describes the summary as structured and concise.Fireflies.ai✓ WorkedProduced a structured notes summary with a named header ('Task Status and Issue Resolution') rather than a blob, and the report says the full summary was multi-section and did not drop important points.Granola✓ WorkedGranola produces skimmable summaries with named sections; the meeting output is organized into at least three top-level sections, including Use Case Status and Review Progress, Tool Research and Publishing, and Access Tracker Updates.HappyScribe✓ WorkedThe meeting summary is structured into skimmable topic sections rather than one blob, with headings like 'Tool testing & publishing' and 'Access, tracker & expiries.'MeetGeek✓ WorkedIt produces a clear, skimmable meeting summary with topic organization and a Next Steps section, and the report says it preserved the major decisions and discussion points.Notta✓ WorkedThe generated meeting summary was comprehensive and skimmable, with structured sections such as Task & Issue Management and a mindmap-style organization that reflected the meeting flow.Otter.ai✓ WorkedOtter produced a clear, structured meeting summary that the report says covered the key decisions and discussion points without dropping anything important, and the summary page loaded with organized sections like Overview and Action Items.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com