Evidence · first-party tested/Best AI Meeting Notetakers for Accurate Transcripts, Summaries, and Action Items
Summary and action items are editable inline before sharing, but the transcript itself is locked for audit-trail purposes, so editing is only partial.
What was measured
Editability
Can you fix a wrong summary or action item before sharing?
context, not decisivecapability
Being able to fix mistakes before sharing is valuable, but it does not by itself measure how well the tool captures the meeting in the first place. (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.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.Summary Quality✓ WorkedThe meeting recap was reported as clearly structured and complete, with the key decisions and discussion points preserved and nothing important dropped.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
- a47ae17f-dfbd-439c-9ba9-e3153156cca8
- 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 — 3 other tools
measured on Editability
Granola◐ MixedGranola supports editing the summary layer, but transcript text is not editable in-app; the report describes transcript correction as locked by design, so users can fix notes and action items but not the underlying transcript.MeetGeek✓ WorkedUsers can edit generated outputs inline before sharing; the report says summary, action items, and the full transcript are all editable, and the UI shows editable summary text.Otter.ai✓ WorkedOtter exposes inline editing controls for transcript and summary outputs before sharing, so wrong content can be corrected in-product rather than only exported as-is.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com