Fireflies holds a narrow lead over Otter.ai, earning praise for deep analysis and extracting rapid insights across meeting recordings. Otter.ai is the usual answer when teams want bots that automatically post transcripts and action items directly into team chat apps.
FirefliesChatGPT Search87%Google AI Mode86%ChatGPT SearchGoogle AI Mode
Otter.aiChatGPT Search88%Google AI Mode66%ChatGPT SearchGoogle AI Mode
FathomChatGPT Search78%Google AI Mode60%ChatGPT SearchGoogle AI Mode
GranolaChatGPT Search50%Google AI Mode59%ChatGPT SearchGoogle AI Mode
tl;dvChatGPT Search12%Google AI Mode30%ChatGPT SearchGoogle AI Mode
ZoomChatGPT Search16%Google AI Mode19%ChatGPT SearchGoogle AI Mode
Questions and answers
We have hundreds of recorded meetings. What's an AI tool that can transcribe them and automatically generate a summary with action items and key decisions?
For hundreds of recorded meetings, I’d start by evaluating Fireflies.ai and Otter.ai. Both can process existing recordings, so you don't have to rely on an AI note-taker having attended the original meetings.
The key is to choose a tool that can do more than transcribe: you want searchable transcripts, consistent summaries, clearly identified decisions, and action items that your team can track.
Best AI tools to evaluate
1. Fireflies.ai
(Best overall starting point)
Uploads existing audio and video files, generates transcripts and AI summaries, extracts action items, and lets you search across meetings. It also supports integrations with collaboration and project-management tools.
A strong alternative for uploading existing recordings, creating searchable transcripts, organizing meetings into folders, and sharing notes with colleagues. It supports common audio and video formats.
Best for: Teams that want readable transcripts, meeting notes, and straightforward collaboration.
If your organization already uses Teams and its recordings and transcripts are stored there, intelligent recap can provide AI meeting notes, recommended tasks, topic markers, and meeting highlights. Additional licensing and configuration may be required.
Best for: Organizations already invested in Microsoft 365, particularly for ongoing meetings.
Consideration: I would verify how your existing archive can be processed before choosing this for bulk transcription of recordings made outside Teams.
I would run a pilot with 10–20 representative meetings before uploading the entire archive.
Batch-process the recordings. Check file formats, duration limits, processing quotas, and whether bulk upload or an API can automate the workload.
Standardize the output. Have every meeting produce the same fields:
Executive summary
Key decisions made
Action items, owners, and deadlines
Open questions and unresolved issues
Important topics, with timestamps where possible
Create a searchable archive. Organize by project, date, department, or meeting type, and test whether you can ask questions across multiple meetings.
Validate accuracy. Compare AI-generated decisions and assigned tasks against the original recordings, especially when responsibility or deadlines matter.
One important distinction: generating a summary for each recording is not the same as building a searchable archive across all meetings. Confirm that the tool supports both.
Two questions to narrow this down
1. Where are the recordings stored?
Zoom cloud recordings
Microsoft Teams / SharePoint
Google Drive / Dropbox
A mix of locations or downloaded files
2. What do you want to do with the results?
Produce a summary document for every meeting
Build a searchable knowledge base across all meetings
Automatically send action items to a task-management system
All three
[Find the best fit]
My initial recommendation is Fireflies.ai, especially if your recordings already exist as audio or video files and you want to turn them into a searchable organizational knowledge base. The storage location and desired output will determine whether it remains the best choice.
Since you already have hundreds of recorded meetings (meaning you are dealing with a backlog of pre-existing audio/video files rather than just using a live bot for future calls), you need a platform that supports bulk or direct file uploads alongside robust AI summarization.
Top AI tools capable of uploading, transcribing, and extracting action items and key decisions from existing recordings include:
Fireflies.ai
Best for: Integration into workflows and robust AI summaries.
How it handles existing files: You can upload MP3, M4A, WAV, or MP4 files directly into your dashboard.
Best for: Absolute data control and cost-efficiency at scale if you have developer resources.
How it handles existing files: Running audio through OpenAI Whisper via API or local open-source implementation yields near-perfect transcriptions, which can then be fed into a structured prompt using GPT-4 or Claude to output strict JSON containing key_decisions and action_items.
If you'd like to narrow this down, tell me:
What file formats and average length are your recordings?
Do you need these integrated into a tool like Notion, Slack, or a CRM?
I can help you pick the best fit and estimate how to handle a backlog of hundreds of files.
For automated organization, crisp structuring, and clean formatting immediately after a conversation ends, several top-tier AI meeting tools stand out depending on how you like your notes handled:
Fireflies.ai : Excellent for heavy volume and deep cross-platform integration. It uses a calendar-synced bot to join Zoom, Google Meet, or Teams, generating structured summaries broken down by action items, key topics, and sentiment tags. It also allows you to query your meeting archives using its "AskFred" feature.[](https://corecruit.com/post/ai-notetaking-apps)
Fellow : Best overall if your focus is heavily on collaborative agendas, meeting governance, and turning conversations into structured action items. It formats notes directly into structured takeaways and syncs cleanly with major task and CRM managers like Asana, Jira, and HubSpot.[](https://www.youtube.com/watch?v=Euv_QDzEqC0&vl=en&t=76)
Fathom : Highly rated for its speed and generosity, offering instant, clean summaries right as a call wraps up. It provides a very robust free tier and formats action items clearly without requiring heavy manual cleanup.[](https://www.youtube.com/watch?v=Kbbdc5cKMFM&t=42)
If your #1 priority is what happens after the meeting—turning a messy conversation into clean, structured, usable notes—I’d put Granola at the top of the list.
Several services and developer infrastructure providers offer automated meeting transcription bots that join Zoom, Google Meet, Microsoft Teams, and other platforms on autopilot. Depending on whether you are looking for an end-user application for your team or a developer API to build your own feature, here are the top providers:
End-User AI Notetakers (Ready-to-Use)
Otter.ai : Features an AI Meeting Agent that can sync with your calendar to automatically join and transcribe Zoom, Microsoft Teams, and Google Meet calls.[](https://otter.ai/)
Fireflies.ai : Connects to your calendar and automatically sends an AI bot to record, transcribe, and summarize meetings across multiple video platforms.
When it comes to the strongest meeting summarizers that reliably separate decisions from tasks (action items) —and don't just dump a wall of text—a few standout tools lead the pack depending on your exact workflow:
Granola (Best for human-AI hybrid clarity)
Unlike traditional bots that join your call, Granola sits on your desktop and combines your own rough, real-time shorthand notes with audio transcription to intelligently structure clean sections explicitly broken down into decisions and action items.[](https://www.youtube.com/watch?v=ABUP1HaJ2Uo&vl=en)
tl;dv (Best for action item integration & custom focus)
Widely considered a powerhouse for follow-through, tl;dv features top-tier transcription that pinpoints actionable next steps and allows you to push those tasks directly into workflow tools like Slack, Notion, or your CRM.[](https://www.reddit.com/r/AI_Agents/comments/1tnl740/any_recommendations_for_the_best_meeting/)
Fireflies.ai (Best for heavy team collaboration and search)
Fireflies goes deep on meeting intelligence, cleanly auto-generating explicit summaries, captured decisions, and assigned action items the moment a call ends. It excels if you need to search across an entire organization's historical meeting decisions.
Otter.ai (Best for wall-to-wall automated scheduling)
The classic reliable workhorse. Otter automatically joins your Zoom, Meet, or Teams calls to output a dedicated "Action Items" and "Decisions" panel right alongside the automated transcript, requiring zero manual effort post-call.
To help narrow down which one fits your stack, tell me:
Do you prefer a bot that joins the call automatically, or a silent desktop app (like Granola)?
Which project management or chat tools (Slack, Asana, Notion, HubSpot) do these tasks need to sync into?
If your priority is meeting summaries that reliably turn into explicit decisions + assigned tasks, I’d shortlist these:
Fireflies.ai — strongest for decisions + action items + downstream workflow. It explicitly extracts decisions, owners, due dates, and supporting transcript context, and can push information into CRM/workflow systems.
Fathom — strong if you want clean, concise recaps and action lists with relatively little cleanup. Recent comparisons highlight its tight action-item output and integrations.
Granola — particularly compelling if you want high-quality structured notes without a meeting bot joining the call. It produces decisions and action items, but its workflow/integration footprint is different from '.
Granola is unusually focused on turning the conversation into good notes rather than simply producing a transcript. After the meeting, it combines what it heard with any notes you took and creates structured notes; it can also turn conversations into things such as briefs, PRDs, and action items.
It also has a big practical advantage: no meeting bot is required. It captures your computer's audio instead, so participants don't have to interact with an obvious "AI notetaker" attendee.
Its integrations can push meeting context into tools such as Slack, Salesforce, Linear, Jira, and other workflow tools, which is useful if "organizing notes" ultimately means turning notes into work.
I'd choose Fathom if you don't want to think much about note-taking at all. It automatically records/transcribes and produces summaries, with templates and custom instructions; unlike Granola, its normal workflow retains the meeting recording so you can replay it and create clips later.
🥉 Notion AI — if your notes need to live in Notion
If your team already uses Notion as its knowledge base, this may actually be the most convenient option. Notion's meeting workflows can generate summaries and action items, and its AI agents can turn those action items into structured tasks with owners and due dates.
Bottom line: If you specifically mean "I finish a meeting and want the AI to transform the raw conversation into beautifully organized notes without me cleaning them up," I'd start with Granola. If you want maximum automation and searchable recordings, go with Fathom; if you want the results directly inside an existing knowledge/task system, Notion AI is compelling.
If you tell me whether your meetings are mostly Zoom/Teams/Google Meet, sales calls, interviews, or internal meetings, I can narrow this to the single best choice.
Otter.ai — strong if you also care about transcription/searchable meeting history. Its current enterprise Insights can structure notes into decisions, action items, risks, and next steps.
For your exact requirement, I'd start with Fireflies and Fathom. If the key question is “What did we decide, who owns what, and when is it due?”, Fireflies has especially explicit support for that output.
If you tell me Zoom/Meet/Teams + solo or team + whether you need tasks pushed into Asana/Linear/Jira/Notion, I can narrow it down further.
