Evidence · first-party tested/Best AI Meeting Notetakers for Accurate Transcripts, Summaries, and Action Items
Search works inside a meeting transcript through AI Chat and returns exact timestamps in plain text, but the timestamps are not clickable, and the report says this was not tested across meetings.
What was measured
Search Across Notes
Finds a moment or decision by keyword or question.
context, not decisivecapability
Search helps users find past moments and decisions, but it is a retrieval feature rather than proof that the tool captured the meeting well. (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, 8 other criteria
Action-Item Extraction✓ WorkedThe action-item list extracted the real commitments from the call, formatted them as checkbox items with @mentions, and the report says owner assignment was correct with no false positives.Chat with Notes / Ask Questions✓ WorkedThe Q&A interface answered a natural-language question with a grounded response from the meeting record, including the specific date "6th August," and the report observed no hallucinations.Join Method & Reliability✓ WorkedThe bot-based Google Meet join was reliable in the tested call: Notta Bot appeared in the meeting list, admitted/managed normally, and the capture ran through the end of the session without disconnects or plan-limit cutoffs.Speaker Diarization◐ MixedSpeaker attribution was mostly correct, with nearly all speakers identified by name, but the transcript still showed some misattributed lines, so diarization was not fully reliable for every turn.Speaker Diarization⚠ StruggledThe transcript contained a line labeled with another notetaker’s name (HappyScribe), which indicates cross-tool contamination or labeling error and breaks speaker attribution for that segment.Summary Quality✓ 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.Topic Segmentation✓ WorkedThe meeting was segmented into useful topic blocks rather than one blob; the report names three sections, including Task & Issue Management, Individual Progress Updates, and API Benchmarking Task.Transcription Accuracy✓ WorkedNotta’s transcript capture was accurate on the evaluated standup: the report says it correctly captured names, tool names, numbers, and engineering jargon with no significant word-level errors, silent hallucinations, or misheard terms.
Provenance
- Observation
- 3e05ffd9-05fd-44d7-914a-1e1bbb24c13c
- 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: "notta",
scenario: "ai-meeting-notetaker"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 7 other tools
measured on Search Across Notes
Fathom✓ WorkedTranscript search supports keyword lookup and returns a matched snippet for "API," surfacing the relevant moment and the linked action item "Create subtasks for API benchmarking; tag Divya on completion."Fellow✓ 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.Fireflies.ai✓ WorkedTranscript search worked with exact-match retrieval: a Ctrl+F query for 'API' returned 1/1 match at 20:42 with the hit highlighted and a clickable timestamp.Granola✓ WorkedGranola’s note search returns exact-match results with navigation: a query for 'api' produced a 1/1 hit and highlighted the matched word in the transcript, so keyword lookup works directly inside the meeting note.HappyScribe⚠ StruggledThere is no dedicated transcript search UI, so direct keyword lookup across notes is not available from the transcript view and is only routed indirectly through AI Chat.MeetGeek✓ WorkedIt supports transcript search with precise retrieval: searching for "api" surfaces the matching text in context and the report says timestamps are returned to within a few seconds.Otter.ai◐ MixedOtter does not show a direct transcript keyword-search workflow in the transcript view; lookup is routed through AI Chat instead, where a natural-language timestamp question returned a specific answer at 0:07:06.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com