AI Meeting Notes Tool Comparison (2026)｜Otter vs Fireflies vs NotebookLM (now Gemini Notebook) vs Whisper

Compare Otter, Fireflies, NotebookLM, and Whisper/OpenAI API for AI meeting notes by pricing, language support, privacy, and best-fit use cases.

8/21 · Penchan

AI Meeting Notes Tool Comparison (2026)｜Otter vs Fireflies vs NotebookLM (now Gemini Notebook) vs Whisper

Contents

Meeting notes tools fall into three categories

Category	Examples	Role
Meeting bot	Otter, Fireflies	Join Zoom / Meet / Teams, transcribe live, build a team meeting library
Research / post-meeting organization	Gemini Notebook (formerly NotebookLM)	Treat recordings as sources, then clean up transcripts, summaries, and citations afterward
API transcription	OpenAI Speech-to-Text, open-source Whisper	Developers package their own flow; can self-host and integrate into products

Picking the wrong route wastes more time than picking the wrong tool, so sort this out before you compare tools.

A little penguin sorting a recorder, notebook, and microphone into three wooden trays

Otter.ai: English meetings and individual / team transcripts

Item	Details
Free	300 monthly transcription minutes + 3 lifetime audio/video imports
Pro	$16.99/user/month
Business	$30/user/month (unlimited audio/video imports)
Strengths	English live transcription, speaker diarization, meeting search
Weaknesses	Chinese support is not as strong as Chinese-first tools

Best for: English-first online meetings, sales / support teams with heavy online communication.

A little penguin wearing headphones and listening to transcript waveforms beside a recorder

Fireflies.ai: team meeting library and collaboration

Item	Details
Free	unlimited transcription, 800 mins storage / seat
Pro	$10/seat/month (annual billing, 8,000 mins storage, 20 AI credits)
Business	$19/seat/month (annual billing, unlimited storage, 30 AI credits)
Strengths	Cross-meeting search, CRM integrations, team meeting knowledge base
Weaknesses	A bit overkill for solo use

Best for: sales / support / consulting teams with multiple online meetings every week.

A little penguin putting meeting tapes and notes into a team filing cabinet

Gemini Notebook: organize the material after recording

Item	Details
Standard	100 notebooks, 50 sources / notebook, 50 chats/day, 3 audio generations/day
Pro	500 notebooks, 300 sources / notebook, 500 chats/day, 20 audio/day
Source limits	200 MB or 500,000 words per file; poor audio quality may fail to import
Strengths	Stable Chinese transcripts, strong citations, multiple Audio Overview formats (Deep Dive / Brief / Critique / Debate), 80+ languages
Weaknesses	Not a live bot; you upload after the meeting

Best for: individuals / Chinese-first workflows / tight budgets / anyone who needs transcripts + summaries + paragraph-level citations.

A little penguin filing meeting papers into a notebook labeled Gemini Notebook

Whisper / OpenAI: build your own developer workflow

Form	Details
OpenAI Speech-to-Text API	`whisper-1`, `gpt-4o-mini-transcribe`, `gpt-4o-transcribe`, `gpt-4o-transcribe-diarize`
Upload limit	25 MB, with limited supported formats
Pricing (per minute)	Whisper $0.006, `gpt-4o-mini-transcribe` around $0.003, `gpt-4o-transcribe` around $0.006
Open-source Whisper	Self-hosted, local, audio never leaves your machine
Strengths	Multilingual, customizable, self-hostable
Weaknesses	No ready-made SaaS UI, so you need to package the workflow yourself; hallucinations / typos still need human review

Best for: developers, custom workflows, sensitive content that needs self-hosting.

A little penguin connecting a microphone to an old terminal on a workbench

Be conservative with Chinese, Taiwanese Hokkien, and mixed Chinese-English

Chinese recognition accuracy varies widely across tools because accents, recording quality, and domain-term density all matter. My suggested method:

Find a representative recording from your normal meetings (5-10 minutes).
Run the same clip through three tools.
Decide based on the actual output in your own scenario.

Do not trust cross-product claims like “90% accuracy.” Those numbers come from each vendor’s own test set, and the gap between that and your real meetings is usually huge.

For Taiwanese Hokkien scenarios, the most practical route right now is Jianying / CapCut subtitles, with human proofreading afterward.

A little penguin wearing headphones and carefully untangling three mixed audio lines

Pick a tool at a glance

Your situation	Recommendation
Individual, Chinese-first, budget 0	iPhone + Gemini Notebook
Individual, video / subtitles	iPhone + Gemini Notebook + Jianying / CapCut
English team, many online meetings	Otter
Cross-team meeting library, CRM integration	Fireflies
Sensitive content, must stay local	Open-source Whisper
Developer needs customization	OpenAI Speech-to-Text API

A little penguin at a meeting table moving a bookmark toward the tool it will use

FAQ

Which AI meeting notes tool should I use in 2026?

It depends on language and workflow. Chinese-first → NotebookLM for free post-meeting organization. English / team workflows → Otter or Fireflies. Sensitive content → local open-source Whisper or the OpenAI API. No single tool covers every scenario well.

What is the main difference between Otter.ai and Fireflies.ai?

Otter is stronger at English live transcription, speaker diarization, and meeting search. Fireflies is stronger as a team meeting library, with cross-meeting search and CRM integrations (800 mins of storage on the free plan). Individual / English → Otter. Team / cross-meeting library → Fireflies.

Is Whisper really free?

OpenAI’s open-source Whisper itself is free, but if you run it locally, you pay for hardware and electricity. The OpenAI Speech-to-Text API uses usage-based pricing, such as Whisper at $0.006/min. A truly zero-cost route only applies when you run the open-source version locally.

Which tool has the best Chinese recognition?

Chinese results vary a lot depending on recording quality, accent, and domain-term density, so cross-tool comparisons rarely produce a universal answer. My practical advice: run the same test recording through each tool first, check the result in your own scenario, then decide.

Are there any tools that support Taiwanese Hokkien?

There is no perfect option yet. Jianying / CapCut Taiwanese Hokkien subtitles are usable in practice, but still need human correction. Whisper also has some Taiwanese Hokkien capability, though results fluctuate. Mixed Mandarin + Taiwanese Hokkien works better than pure Taiwanese Hokkien, and this area is still maturing.

What happens after I use up the free quota?

Otter Free gives 300 minutes per month and 3 lifetime imports. Fireflies Free has unlimited transcription but 800 mins of storage. NotebookLM Standard has 50 chats / 3 audio generations per day. When you hit the quota wall, either upgrade to a paid tier or switch to a different tool.

Do these tools store my recordings? Are they private and secure?

Cloud tools upload recordings to third-party servers for processing, subject to each provider’s privacy policy. If the recording must never leave your machine, run open-source Whisper locally. For a middle ground between privacy and cloud convenience, choose tools with friendly retention / no-training policies and follow your company’s security rules.

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