Evidence · first-party tested/Best AI Meeting Notetakers for Accurate Transcripts, Summaries, and Action Items
Grouped action items by owner, attributed them to the correct team member, and exposed a clickable source timestamp (19:13) for at least one item.
What was measured
Action-Item Extraction
Finds the real action items, ideally with owner and due date, with low false positives.
decisive for this rankingtransformation
Finding the real action items is a central outcome readers are hiring the tool for, not just a convenience feature. (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, 7 other criteria
Chat with Notes / Ask Questions✓ WorkedAskFred answered a natural-language question with a specific grounded response ('August 6th') and relevant context, with no hallucination reported in the tested query.Join Method & Reliability✓ WorkedUsed a bot-based Google Meet join: the Fireflies notetaker appeared in the People panel, and the recording player showed it still present in a 23:40 capture, matching the report’s claim of uninterrupted full-call capture.Search Across Notes✓ 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.Speaker Diarization✓ WorkedAttributed consecutive turns to distinct speakers in the transcript, and the report says speaker identification was almost complete with only minor attribution errors.Summary Quality✓ 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.Topic Segmentation✓ WorkedBroke the meeting notes into named sections with descriptive headers and short recap paragraphs, making the output skimmable instead of one undifferentiated block.Transcription Accuracy✓ WorkedGenerated a timestamped transcript view, and the report says the full transcript was very accurate: nearly all names, tools, jargon, and numbers were captured correctly with no significant misheard terms or hallucinations.
Provenance
- Observation
- 737cde44-da22-4dd6-b985-62104c4d14a8
- 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: "fireflies-ai",
scenario: "ai-meeting-notetaker"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 7 other tools
measured on Action-Item Extraction
Fathom✓ WorkedFathom extracts real commitments into an ACTION ITEMS section with owner attribution; the published output shows timestamped tasks and a named owner on the item.Fellow◐ 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.Granola✓ WorkedGranola extracts concrete next steps with ownership: the visible action item says to create a subtask and add details, names Mahreen Fathima as owner, and marks the item for same-day follow-up; the report says the extracted list contained no false positives.HappyScribe◐ MixedIt extracted the real action item about updating logs, but owner attribution was wrong because the misheard name cascaded into the action item and showed 'Nadine' instead of 'Mahreen.'MeetGeek✓ WorkedIt extracts real commitments as action items rather than noise; the report says all extracted items had correct ownership and timing, and the visible note includes an owned action item with timestamp 19:51.Notta✓ 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.Otter.ai⚠ StruggledOtter extracted action items, including at least one due-today API-related task with an assignee, but the report says most items were left without an owner and duplicate entries also appeared, so the output needed manual cleanup before delegation.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com