AI for Meeting Notes: Comparing Otter, Fireflies, and Other Transcription Tools in 2026
Nonprofit staff spend hours every week in meetings, and even more hours writing up notes, tracking action items, and sharing summaries with people who could not attend. AI transcription tools can reclaim much of that time. This guide compares the leading options so you can find the right fit for your team's needs and budget.
Meetings are the backbone of nonprofit operations. Board sessions, donor calls, program team huddles, funder check-ins, community listening sessions, and cross-departmental planning meetings fill calendars across the sector. Yet for all the time spent in meetings, the information that comes out of them is often poorly captured. Handwritten notes are incomplete. Assigned note-takers miss key points while they are busy writing. Action items get lost between the meeting and the next one. Staff who could not attend rely on secondhand summaries that leave out context.
AI-powered meeting transcription and note-taking tools address this problem directly. They record, transcribe, and summarize meetings automatically, pulling out action items, decisions, and key themes without requiring anyone to split their attention between participating and documenting. For nonprofits where every staff hour counts, the time savings are significant. A typical organization can reclaim 3-5 hours per week per employee by eliminating manual meeting documentation.
The market for these tools has grown substantially since 2024, and the options in 2026 range from free built-in features within platforms like Zoom and Google Meet to dedicated AI meeting assistants with sophisticated analysis capabilities. This guide compares the leading tools across the dimensions that matter most to nonprofits: cost, privacy, ease of use, and the quality of AI-generated summaries and action items. Whether your organization is just starting to explore meeting AI or looking to upgrade from a basic solution, you will find practical guidance here.
Before choosing a tool, we recommend running any option through the 15-minute AI audit framework to ensure it meets your organization's requirements for privacy, cost, and mission alignment. The comparison below will give you the information you need to make that assessment quickly.
What Nonprofits Should Look For in Meeting AI
Not all meeting transcription tools are created equal, and the features that matter most vary depending on how your nonprofit operates. A small team of five that meets primarily on Zoom has different needs than a large organization with 50 staff members spread across Zoom, Microsoft Teams, and in-person meetings. Before diving into specific tools, consider the criteria that should drive your evaluation.
Transcription Quality
Accuracy matters enormously. A transcript riddled with errors is worse than no transcript because people trust it without verifying. Look for tools that handle multiple speakers well, identify who said what (speaker diarization), and manage nonprofit-specific vocabulary like program names, acronyms, and funder names. Multilingual support is increasingly important for organizations serving diverse communities.
AI Summary Quality
Raw transcripts are useful for reference, but the real value comes from AI-generated summaries, action items, and decision logs. The best tools distinguish between casual conversation and substantive decisions, correctly attribute action items to specific people, and produce summaries that someone who missed the meeting can read in two minutes and feel fully caught up.
Privacy and Consent
Recording meetings raises important privacy questions. Does the tool clearly notify all participants that recording is happening? Where is the audio and transcript stored? Is it encrypted? Can you control who accesses specific recordings? For nonprofits handling sensitive conversations, such as client discussions, HR matters, or legal consultations, these questions are not optional.
Platform Integration
The tool needs to work where your meetings happen. If you use Zoom, it should join Zoom calls seamlessly. If your team uses Microsoft Teams, Google Meet, or a mix of platforms, the tool should support all of them. Integration with project management tools (Asana, Monday, Trello), CRMs (Salesforce), and communication platforms (Slack) adds additional value by pushing action items where they will actually get tracked.
Built-In Options: What You Already Have
Before evaluating standalone tools, check what your existing video conferencing platform already includes. All three major platforms, Zoom, Microsoft Teams, and Google Meet, have added significant AI meeting capabilities in 2025-2026. For many nonprofits, these built-in features may be sufficient, especially if you already pay for the platform.
Zoom AI Companion
Included with paid Zoom plans at no extra cost
Zoom's AI Companion generates meeting summaries, action items, and smart chapters that break the recording into navigable sections. It provides real-time transcription during meetings, supports over 30 languages, and can answer questions about meeting content after the fact. For nonprofits already on paid Zoom plans, this is essentially free and requires no additional setup.
- Best for: Organizations already using Zoom Workplace who want meeting AI without adding another tool
- Limitations: Only works within Zoom meetings. Summary quality is good for straightforward meetings but can miss nuance in complex strategic discussions
- Nonprofit pricing: Zoom offers nonprofit discounts through TechSoup (typically 50% off). AI Companion is included in all paid plans
Microsoft Teams Copilot
Requires Microsoft 365 Copilot license ($30/user/month, nonprofit discounts available)
Microsoft Teams Copilot provides real-time transcription, meeting summaries, and the ability to ask questions about meeting content in natural language. Its strongest advantage is deep integration with the Microsoft 365 ecosystem, so action items can flow directly into Planner, summaries can be saved to SharePoint, and follow-up tasks can be created in Outlook. The free Teams Copilot Chat offers basic meeting recap capabilities without the full Copilot license.
- Best for: Organizations deeply embedded in the Microsoft ecosystem who want seamless workflow integration
- Limitations: The full Copilot license is expensive even with nonprofit discounts. Basic transcription in Teams is free, but AI summaries require the paid add-on
- Nonprofit pricing: Microsoft offers nonprofit pricing through TechSoup, typically 15% off Copilot licenses
Google Meet with Gemini
Included with Google Workspace Business Standard and above
Google Meet now offers AI-powered meeting notes through Gemini integration, including automatic summaries, action item detection, and the ability to ask "What did I miss?" after joining a meeting late. The "Take notes for me" feature generates structured notes that save directly to Google Docs. Google for Nonprofits provides free access to Google Workspace, which includes these AI features for qualifying organizations.
- Best for: Nonprofits using Google Workspace, especially those with free Google for Nonprofits accounts
- Limitations: Only works within Google Meet. Feature availability depends on your Workspace edition
- Nonprofit pricing: Google for Nonprofits provides free Workspace access for up to 2,000 users, which includes Gemini AI features
For many nonprofits, the built-in option in your existing video platform is the right place to start. It is free (or already included in what you pay), requires no additional setup, and avoids the privacy complexity of sending meeting audio to a third party. If your organization uses primarily one platform and the built-in features meet your needs, there is no reason to add another tool. The standalone options below become valuable when you need cross-platform support, more sophisticated AI analysis, or features your built-in option does not provide.
Standalone AI Meeting Assistants
Standalone meeting AI tools work across multiple platforms and typically offer more advanced features than built-in options. They join your meetings as a participant (a "bot"), record the audio, and process it through their AI models. The trade-off is that you are sending meeting audio to a third-party service, which requires careful privacy consideration.
Otter.ai
One of the most established meeting AI tools, with a generous free tier
Otter.ai has been in the transcription space longer than most competitors and has built a mature product with strong accuracy. It works across Zoom, Google Meet, and Microsoft Teams, and provides real-time transcription, AI-generated summaries, action items, and the ability to ask questions about past meetings through an AI chat interface. Otter also supports in-person meetings by recording through your device's microphone.
- Free tier: 300 monthly transcription minutes, AI chat for meetings, real-time transcription. Generous enough for light use or individual staff members
- Paid plans: Pro starts at $16.99/user/month (annual billing). Business plans with admin controls start at $30/user/month
- Standout features: Strong speaker identification, vocabulary customization (add your organization's acronyms and names), real-time collaboration on transcripts, Salesforce integration
- Best for: Nonprofits that want a reliable, mature platform with a useful free tier for testing
Fireflies.ai
Feature-rich platform with strong integrations and analytics
Fireflies.ai differentiates itself through its extensive integration ecosystem and conversation intelligence features. Beyond basic transcription and summaries, it offers sentiment analysis, talk-time tracking, topic detection, and the ability to create "soundbites" (short audio clips of key moments). Its integration with over 40 apps, including Slack, Asana, HubSpot, and Salesforce, makes it particularly useful for teams that want meeting insights to flow into their existing workflow tools.
- Free tier: Unlimited transcription with 800 minutes of storage, AI-powered search, limited summaries. One of the more generous free options available
- Paid plans: Pro starts at $18/user/month (annual billing). Business plans with custom vocabulary and advanced analytics at $29/user/month
- Standout features: Conversation analytics (who talked most, sentiment trends), automatic CRM logging, custom AI apps that let you create organization-specific analysis templates
- Best for: Organizations that want deep analytics on meeting patterns and extensive integration with other tools
Fathom
A free, privacy-focused option that runs locally
Fathom takes a different approach from most competitors by offering a completely free product for individuals. There is no bot joining your meeting. Instead, it records through a local app, which means the visible "AI notetaker has joined" notification that some meeting participants find intrusive does not appear. Fathom focuses on simplicity: it records, transcribes, generates a summary with action items, and lets you highlight key moments during the meeting. The team edition adds shared libraries and CRM integration.
- Free tier: Unlimited recordings and transcriptions for individual users. No minutes cap. This is genuinely free, not a trial
- Paid plans: Team Edition at $32/user/month adds shared meeting libraries, CRM integration, and team analytics
- Standout features: No bot joining meetings (less intrusive), real-time highlighting of key moments, clean and simple interface, strong privacy positioning
- Best for: Individual staff members or small teams who want free, no-fuss meeting notes without a bot joining calls
tl;dv
Focused on creating shareable meeting highlights
tl;dv (short for "too long; didn't view") specializes in making meetings accessible to people who were not there. Beyond standard transcription and summaries, it excels at creating timestamped highlights that can be shared as short clips with colleagues. This is particularly useful for nonprofit teams where board members, volunteers, or remote staff need to catch up on key decisions without watching full recordings. It supports over 30 languages and integrates with major CRM platforms.
- Free tier: Unlimited meeting recordings on Zoom and Google Meet, AI-generated notes and summaries, basic integrations
- Paid plans: Pro at $25/user/month adds CRM integration, multi-meeting intelligence, and advanced AI reports
- Standout features: Shareable video clips with timestamps, multi-meeting AI that identifies trends across conversations, strong multilingual support
- Best for: Organizations where keeping absent stakeholders (board members, volunteers, funders) informed about meeting outcomes is a priority
Granola
AI notepad that enhances your own notes rather than replacing them
Granola takes a unique approach. Rather than fully automating meeting notes, it listens to your meeting and enhances the notes you take yourself. You jot down bullet points during the meeting, and Granola uses the transcript context to expand them into comprehensive notes. This "human-in-the-loop" approach produces notes that reflect your priorities and perspective rather than a generic AI summary. It runs as a Mac or Windows desktop app and does not require a bot to join your meeting.
- Free tier: 25 meetings per month with AI-enhanced notes. No bot, no visible recording indicator
- Paid plans: Pro at $18/month for unlimited meetings and custom note templates
- Standout features: Enhances your notes rather than replacing them, no bot joins meetings, custom templates for different meeting types, works with any meeting platform
- Best for: Staff who prefer to stay actively engaged in note-taking but want AI to fill in gaps and add detail
Note: Prices may be outdated or inaccurate.
Privacy and Consent: The Nonprofit-Specific Considerations
Meeting transcription tools raise privacy questions that nonprofits must take seriously. Unlike a corporate team recording an internal standup, nonprofit meetings may involve vulnerable clients sharing personal information, donors discussing financial details, or staff members raising sensitive HR concerns. The wrong approach to meeting recording can violate trust, breach confidentiality agreements, and potentially run afoul of regulations.
Privacy Best Practices for Meeting AI
- Always inform participants before recording. Most tools display a notification, but verbal confirmation at the start of the meeting is good practice. For external participants like donors or clients, explain what the recording is used for and how it will be stored.
- Establish a "no recording" policy for sensitive meetings. Client intake sessions, HR discussions, legal consultations, and whistleblower conversations should not be recorded by AI tools. Create a clear organizational policy about which meeting types are appropriate for AI transcription.
- Check your state's recording laws. Some states require all-party consent for recording conversations (California, Illinois, and others). Ensure your practices comply with applicable laws, especially for calls with participants in multiple states.
- Verify data retention policies. How long does the tool keep your recordings and transcripts? Can you delete them? Are they used to train the AI model? These questions should be part of your AI ethics evaluation.
- Consider bot-free options for external meetings. Tools like Fathom and Granola that do not send a visible bot into the meeting are less disruptive for donor calls and community conversations where an "AI notetaker" joining might feel intrusive or create a power imbalance.
Your organization's AI policy should include clear guidance on meeting recording. Define which meetings can be recorded, who has access to transcripts, how long recordings are retained, and how to handle requests from meeting participants to delete their data. Having this policy in place before you adopt a tool prevents confusion and protects both your organization and the people you work with.
Quick Comparison: Which Tool Fits Your Nonprofit?
Choosing the right tool depends on your specific situation. Use this decision framework based on common nonprofit scenarios.
"We have zero budget for another tool"
Start with the built-in AI features in your existing video platform (Zoom AI Companion, Google Meet with Gemini, or Teams). If you need more, Fathom offers unlimited free transcription for individuals, and tl;dv offers unlimited free recordings on Zoom and Google Meet. These are genuinely free, not trials with aggressive upsell pressure.
"We need cross-platform support"
If your team uses a mix of Zoom, Teams, and Google Meet, standalone tools are essential. Otter.ai and Fireflies.ai both support all three major platforms. Granola works with any meeting platform since it records through your local device rather than joining the call.
"Privacy is our top concern"
Fathom and Granola stand out because they do not send a bot into meetings, meaning meeting participants are less aware of AI recording (though you should still inform them). For maximum control, use your platform's built-in transcription, which keeps data within your existing vendor relationship rather than adding a new third party.
"We want meeting analytics, not just notes"
Fireflies.ai offers the most robust analytics, including talk-time ratios, sentiment tracking, and trend analysis across meetings. This can be valuable for fundraising teams analyzing donor call patterns, program teams tracking recurring concerns, or leadership wanting to understand meeting culture across the organization.
"We want to keep board members informed without extra work"
tl;dv excels at creating shareable meeting clips and highlights. You can send board members a two-minute highlight reel of a 90-minute staff meeting with timestamps and summaries. This is particularly valuable for volunteer board members who cannot attend every meeting but need to stay informed for board governance.
Getting Started: Implementation Tips for Nonprofits
Choosing a tool is only the first step. How you roll it out determines whether it becomes a genuinely useful part of your workflow or another subscription that gathers dust. Based on patterns we see across nonprofits that successfully adopt meeting AI, here are practical steps for implementation.
Step-by-Step Rollout Plan
- Start with one team or meeting type. Do not roll out organization-wide on day one. Pick a specific recurring meeting (like weekly team standups or monthly all-staff) and use the tool there for two weeks. This lets you work out configuration issues, refine your process, and build internal champions before broader adoption.
- Define your meeting recording policy first. Before the first meeting is recorded, have a clear, written policy about which meetings get recorded, who can access transcripts, how long recordings are kept, and when recording is not appropriate. Share this with all staff.
- Customize the tool for your vocabulary. Most tools allow you to add custom vocabulary. Add your program names, funder names, acronyms, and key terms. This dramatically improves transcription accuracy for sector-specific language that the AI may not recognize by default.
- Assign ownership of the tool. Someone needs to be responsible for managing settings, monitoring usage, and answering colleagues' questions. This does not need to be a full-time role, but without clear ownership, adoption stalls. Your AI champion is a natural fit.
- Establish a feedback loop. After two weeks of pilot use, ask the team: Are the summaries accurate? Are action items correctly captured? Is anyone uncomfortable with the recording? Use this feedback to adjust settings, update your policy, or switch tools if needed.
- Measure the impact. Track how many hours per week your team saves on meeting documentation. This data helps justify the tool's cost (even if it is free, staff time has value) and builds the case for broader AI tool adoption across the organization.
One common mistake is assuming the AI-generated summary is always correct. Always treat AI meeting notes as a draft, not a final record. For important decisions, someone should verify that the summary accurately reflects what was discussed and agreed. Over time, as your team learns the tool's strengths and quirks, you will develop a sense for which meetings produce reliable summaries and which need more human review.
What Is Coming Next for Meeting AI
Meeting AI is evolving quickly. Several trends are shaping the next generation of tools that nonprofits should watch. Multi-meeting intelligence is becoming standard, where tools analyze patterns across dozens of meetings to surface recurring themes, unresolved action items, and shifting priorities. This is valuable for program teams tracking community feedback over time or fundraising teams analyzing donor conversation trends across a giving season.
Agentic meeting capabilities are also emerging, where AI does not just document the meeting but takes action afterward. Imagine a tool that detects a decision to schedule a follow-up meeting and automatically sends calendar invites, or one that identifies a grant deadline mentioned in conversation and creates a task in your project management system. These AI agent capabilities are moving from demos to production in 2026.
In-person and hybrid meeting support is also improving. While most current tools work best with virtual meetings, the combination of better microphone arrays, edge computing, and improved speaker diarization means that recording and transcribing in-person meetings, and the in-person portions of hybrid meetings, is becoming much more reliable. For nonprofits that still rely heavily on in-person gatherings, community meetings, and site visits, this is a meaningful development.
Choosing the Right Meeting AI for Your Nonprofit
Meeting transcription and AI note-taking represent one of the easiest, lowest-risk ways for nonprofits to begin using AI productively. Unlike AI tools that require complex integrations, custom training, or significant workflow changes, meeting AI works largely in the background. Staff continue meeting the way they always have; the AI handles the documentation.
For most nonprofits, the right starting point is the simplest one. Try the built-in features in your existing video platform before adding a new tool. If those features meet your needs, you are done. If you need more, start with a free standalone option like Fathom or tl;dv to test the concept with your team before committing to a paid plan. The goal is not to find the most feature-rich tool but to find the one your team will actually use consistently.
Whatever tool you choose, pair it with clear organizational policies about recording consent, data retention, and which meetings should remain unrecorded. With the right tool and the right policies in place, your team can spend less time writing meeting notes and more time doing the work that notes are supposed to support: following through on decisions, advancing programs, and driving your mission forward.
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