Otter.ai vs Fireflies.ai: AI Meeting Notes Compared
Both bots join your calls and write the notes. We compared Otter and Fireflies for transcription quality, summaries and CRM hooks.
Meeting notes bots save hours, but only if their transcription and summaries are accurate enough to trust. Otter.ai and Fireflies.ai both join calls automatically; the differences show up in search, summaries and how well they feed your other tools.
Transcription accuracy
Otter has a long track record of clean transcription, especially in English, and handles overlapping speech reasonably well. Fireflies is close behind and improves steadily, with strong speaker detection across common video platforms.
- Otter: slightly cleaner long-form transcripts.
- Fireflies: comparable quality with fast turnaround.
Summaries and action items
Both produce meeting summaries with decisions and action items. Otter groups highlights by topic and is excellent when you need to review what actually happened. Fireflies makes summaries very shareable and posts them straight into your team chat or CRM.
Sales and CRM workflows
Fireflies is the favourite of sales teams because it pushes call notes, talk ratios and deal keywords into CRMs automatically. Otter has integrations too, but it leans more toward general productivity and education than revenue operations.
- Fireflies: purpose-built for sales pipeline capture.
- Otter: better for research interviews and personal notes.
Search across meetings
Both search your entire meeting history, but Otter is particularly strong at pulling up a specific quote months later. If you live by your call archive, transcription search quality should decide the winner, so trial both with your own noisy calls.
- Quote-level search across archives: Otter.
- CRM and team-chat distribution: Fireflies.
Which one should you choose?
Choose Otter.ai for personal note-taking, interviews and research where clean transcripts matter most. Choose Fireflies.ai when you are on a sales team that needs call intelligence flowing into your CRM automatically.
A quick recap
The short version: this guide is organised around the core ideas below, and each one matters for a different reason.
- Transcription accuracy — Otter has a long track record of clean transcription, especially in English, and handles overlapping speech reasonably well.
- Summaries and action items — Both produce meeting summaries with decisions and action items.
- Sales and CRM workflows — Fireflies is the favourite of sales teams because it pushes call notes, talk ratios and deal keywords into CRMs automatically.
- Search across meetings — Both search your entire meeting history, but Otter is particularly strong at pulling up a specific quote months later.
- Which one should you choose? — Choose Otter.ai for personal note-taking, interviews and research where clean transcripts matter most.
Questions worth asking yourself
Use these prompts to turn the article into decisions about your own setup.
- How does transcription accuracy apply to the way you approach Otter.ai vs Fireflies.ai today?
- How does summaries and action items apply to the way you approach Otter.ai vs Fireflies.ai today?
- How does sales and CRM workflows apply to the way you approach Otter.ai vs Fireflies.ai today?
- How does search across meetings apply to the way you approach Otter.ai vs Fireflies.ai today?
Putting it into practice
Applying Otter.ai vs Fireflies.ai is less about memorising every feature and more about building a repeatable routine. Start with the single task that costs you the most time each week, run it through the workflow described above, and keep a short note of what changed. Your own results are a better guide than any generic benchmark. The same principles show up wherever you work with Productivity, Productivity.
The Productivity AI Comparisons landscape moves quickly, so treat what you have read as a starting point rather than a fixed rulebook. Revisit the tools and techniques you rely on every few months, retire anything that no longer earns its place, and fold in only the additions that solve a problem you actually have.
Further reading
If this Productivity AI Comparisons topic was useful, these related guides go deeper on the areas you are most likely to need next.
Written by
Elena Petrova
Elena tests AI products the way users actually use them, then writes reviews you can act on. Specialises in writing, image and productivity tools.
More articles by Elena Petrova →