Home / Compare tools / Fireflies.ai vs Otter.ai Fireflies.ai vs Otter.ai AI meeting assistants
The practical difference Fireflies.ai: Teams that want searchable meeting memory and automated follow-up.
Otter.ai: Teams that want searchable transcripts and straightforward meeting notes.
Choose by your workflow Consider Fireflies.ai A meeting recorder and assistant focused on summaries, action items and integrations.
Teams that want searchable meeting memory and automated follow-up.
Things to consider Check recording, storage and AI allowances per seat. A transcription benchmark cannot be assigned to Fireflies without its exact production model and version. Explore tool → Consider Otter.ai A meeting assistant for live transcription, summaries, search and shared notes.
Teams that want searchable transcripts and straightforward meeting notes.
Live transcription, file imports, meeting summaries and integrations have different plan limits. Things to consider Live meetings and imported files have different plan allowances. No exact production transcription model and version was verified. Explore tool → Pricing and plans Fireflies.ai Official pricing page located; exact current plan allowances were not captured.
Plan structures reflect the documented source date. Check current prices and limits with the provider.
Source checked: Oct 3, 2026
Visit official site ↗ Otter.ai Basic free entry; Pro, Business and Enterprise plans with separate meeting and import allowances.
Plan structures reflect the documented source date. Check current prices and limits with the provider.
Source checked: Oct 3, 2026
Visit official site ↗ Models and independent evidence A model benchmark describes the tested model and task. It does not measure the whole tool, its interface, or every available plan.
Hugging Face & contributors
Hugging Face & contributors · Speech-recognition models only. What it measures: Transcription accuracy and speed. Plots word error rate against speed across ASR models. It does not measure meeting summaries, action items or integrations.
Scope Speech-recognition models only
What it measures Transcription accuracy and speed Sources and evidence →
Before you choose Check whether the features described here are included in the plan you intend to use. A strong model does not replace a workflow that fits your task.