Kashvi vs Otter.ai vs Fireflies: Which AI Meeting Tool Is Right for You?

The AI meeting tool market has matured quickly. Otter.ai and Fireflies.ai have been around long enough to accumulate real user bases. Kashvi AI is newer and built with a different set of priorities. This comparison tries to be honest about what each tool does well — and where each falls short.

What they all do

All three tools join your meetings (Google Meet, Zoom, Microsoft Teams), record and transcribe the conversation, and produce some form of summary. That baseline is now table stakes. The differences lie in what they build on top of that baseline.

Otter.ai

Otter is the most established of the three and has the largest user base. Its core strength is transcription accuracy, particularly for English. The live transcription view — watching words appear in real time during a call — is well-executed and useful for accessibility.

Where it works well: Individual professionals who need transcripts for reference, journalists, researchers, and teams with straightforward English-language meetings.

Where it shows its age: The summary and analysis features feel secondary to the transcription product. Action items require manual review. The interface has accumulated features over time and can feel cluttered. Pricing has increased significantly in recent years.

Fireflies.ai

Fireflies is aimed squarely at sales and customer success teams. Its standout feature is the ability to search across all your meeting transcripts — useful if you're trying to recall what a prospect said three calls ago. It also integrates with CRMs like Salesforce and HubSpot, which matters for revenue teams.

Where it works well: Sales teams, customer success, and organisations that want a searchable archive of customer conversations.

Where it falls short: For general team meetings — product syncs, standups, planning sessions — the CRM-oriented feature set can feel like overhead. The meeting summaries are functional but not particularly opinionated about what matters.

Kashvi AI

Kashvi is built around a different question: what does a team actually need from a meeting record? The answer it arrives at is a structured brief — summary, key topics, meeting sentiment, key decisions, action items, and a full speaker-labelled transcript — delivered as soon as the call ends.

Where it works well: Teams that run a lot of internal meetings — product, engineering, leadership, operations — and need a clean, shareable record of each one. The minutes-of-meeting output is designed to be forwarded directly to attendees and stakeholders without editing.

Where it's different: Kashvi doesn't try to be a CRM integration layer or a transcript search archive. It's focused on making every meeting produce a usable written record with minimal effort. The calendar integration means the bot joins automatically — you don't think about it meeting by meeting.

Worth knowing: Kashvi starts free (100 credits, no card required), which makes it low-friction to try alongside your existing setup.

Side-by-side summary

	Kashvi AI	Otter.ai	Fireflies.ai
Transcription	Yes	Yes (strong)	Yes
AI summary	Yes — structured	Yes — basic	Yes — basic
Action items	Yes — automatic	Requires review	Yes
Key decisions	Yes	No	No
Meeting sentiment	Yes	No	No
Calendar auto-join	Yes	Yes	Yes
CRM integrations	Roadmap	Limited	Strong
Free tier	100 credits	Yes (limited)	Yes (limited)

How to choose

• If your primary use case is sales calls and CRM sync: Fireflies.ai is built for you.
• If you need strong English transcription and a large established platform: Otter.ai is the safe choice.
• If you want clean, structured meeting records that are ready to share with no post-processing: Kashvi AI is worth trying first.

The tools aren't mutually exclusive — some teams use one for customer calls and another for internal meetings. But most teams are best served by picking one and using it consistently, so the meeting record becomes a habit rather than an afterthought.