apps/web/content/articles/best-ai-notetaker.mdx
I am a big believer in jotting things down.
If I have an idea, I capture it. The problem is I capture everything. At one point, my note-taking app had so many half-baked ideas that nothing made sense anymore. Then AI changed that.
Those random notes could suddenly be summarized, searched, and connected. I could ask questions across everything I'd written. Turn messy thoughts into clear insights. Find an idea from three months ago in seconds. It's made a real difference.
But AI note-taking apps aren't all built the same.
I've spent considerable time testing these tools. I even built one myself. If you're looking for an AI note-taking app, I've done the research. This guide breaks down the popular options so you can pick the right one.
| Tool | Platform | Best For | Pricing |
|---|---|---|---|
| Char | macOS | Zero lock-in, complete control | Free forever (local + BYOK). Cloud $25/mo |
| Obsidian + AI | Windows, macOS, Linux, iOS, Android | Knowledge management | Free (Sync $5/mo, Publish $10/mo) |
| Granola | macOS, iPhone | Active note takers during meetings | Free trial, then $14/mo |
| Notion | Web, Windows, macOS, iOS, Android | Teams already using Notion | Free (Business $24/mo for AI) |
| Fathom | Web, Chrome | Sales teams needing CRM integration | Free (Business $28/mo) |
| Reflect | Web, iOS | Daily notes with networked thinking | $10/mo ($120/year only) |
| Otter AI | Web, iOS, Android | Teams needing a feature-rich solution | Free 300 min (Pro $17/mo, Business $30/mo) |
| Mem.ai | Mac, Windows, iOS, web | Self-organizing notes with AI | Free 25 notes (Pro $12/mo) |
An AI note taker uses artificial intelligence to help you capture, organize, and make sense of information. It applies large language models to turn raw input—typed notes, voice recordings, or transcribed conversations—into something useful.
The best ones do more than transcribe or summarize. They let you search across everything you've captured, connect related ideas, answer questions about your notes, and surface insights you'd find difficult to locate manually. The AI extends your note-taking workflow rather than replacing it.
These tools target calls and meetings. They use speech-to-text models like Whisper to transcribe conversations in real-time, then apply AI to generate summaries, action items, and key takeaways.
Some join meetings as bots (Otter), while others record your system audio directly (Char, Granola, Fathom). The output includes transcripts, summaries, and searchable recordings of what was discussed.
Notion and Obsidian were built for personal knowledge management, not meetings—a place to externalize your thinking. They've added AI features to help you write, organize, search, and connect ideas across your notes.
The AI assists with drafting, summarizing long documents, answering questions about your knowledge base, and surfacing related notes. These tools work with whatever you type, not just meeting audio.
I'm Char's founder. I'm putting my tool first, though I'll explain why rather than asking you to trust me.
Every AI note-taking tool I tested before building Char forced the same choice: use their cloud, their models, their rules. My data went where they decided, stored how they decided. No way to switch, no way out.
Char exists because of that. It's an open-source AI notepad for meetings that stores everything as plain markdown files on your device. Zero lock-in. You choose your AI stack: managed cloud, bring your own API keys, or run local models. No bots. No vendor dependency.
Want better AI? Plug in your own OpenAI, Mistral, or any endpoint you prefer. Your files, your AI, your workflow.
This works best for engineers and developers who want files over apps, companies where cloud tools like Otter are banned, privacy-conscious professionals in healthcare and legal, or anyone who refuses to compromise on control.
Char is free forever for local transcription, BYOK, and all core features. Managed cloud service is $25/month for the easiest setup without managing API keys.
I'm drawn to Obsidian. Their file over app philosophy resonates—everything is plain markdown files on your device. If Obsidian shuts down tomorrow, your notes survive.
It's not an AI note taker out of the box. AI features come through plugins.
The tradeoff is significant. You're building a system, not using an app. Every feature needs a plugin, documentation, setup. I've lost weekends to theme tweaking instead of writing. It's powerful when it works, exhausting when it doesn't.
Free core app with optional paid services (Sync $5/month, Publish $10/month)
Granola is an AI-powered notepad for people who want to take their own notes while getting intelligent assistance to make them comprehensive.
Like Char, it captures audio directly from your device. Unlike Char, it sends your data to the cloud for AI processing, which creates privacy concerns for organizations with strict compliance requirements.
Offers a free plan with limited meeting notes. Paid plans start at $14/month.
Notion is an all-in-one workspace tool that now includes AI—chat that searches your workspace, writing assistance that drafts and edits, and meeting transcription without bots. The appeal is avoiding tool switching.
The problem is that AI feels added on rather than essential. Notion wasn't designed for note-taking. The block system is awkward. Mobile performance lags. Most people capture notes elsewhere, then organize in Notion. The AI helps with organization (search, summaries), but you'll run into limitations. Free and paid plans include limited AI trials.
You'll need Notion's $24/month Business Plan to use AI features.
Fathom is built for sales teams who need meeting notes synced to CRM automatically. It records, transcribes, summarizes, but the real value comes from pushing everything to Salesforce, HubSpot, or Close without manual work. Sales calls land in your pipeline with action items already logged.
A generous free tier includes basic CRM sync. Team $18/month/user (minimum 2 users) adds collaboration. Business $28/month/user unlocks full CRM field sync, Deal View, and coaching metrics. There's also a $20/month plan with integrations and advanced AI but without collaboration and coaching features.
Reflect is a daily notes app with backlinks and AI. You get a new note each day. You write. It links. The AI (GPT-4 and Whisper) can transcribe voice notes, generate summaries, answer questions about your notes. Google Calendar integration puts your meetings in the sidebar, ready for notes.
It's built for people who think in connections rather than folders. Everything is chronological by default. Backlinks surface automatically. End-to-end encryption means only you read your notes. Fast, minimal, opinionated—there's essentially one way to use it.
$10/month (must pay $120 annually). 14-day free trial.
Otter has been in the AI note-taking space longer than most competitors. The product is feature-rich with extensive integrations (Salesforce, HubSpot, Slack, Notion) and solid team collaboration tools. The bot joins your meetings, transcribes, learns speaker voices, captures slides automatically. AI chat lets you query transcripts.
However, there are significant concerns. A federal lawsuit alleges Otter records without proper consent. Users report the bot automatically inviting colleagues and joining meetings uninvited. Transcripts get shared externally. Customer support is slow and account cancellations are difficult. Your data gets shared with third parties for AI training. The free tier is deliberately limited to push users toward paid plans.
If you're comfortable with cloud-only recording, bot-based capture, and the privacy tradeoffs, Otter delivers on features. If data control matters or you work with sensitive information, the problems outweigh the polish.
Free tier is 300 min/month, Pro is $17/month, Business is $30/month where most teams end up.
Mem.ai is built on one principle: you shouldn't have to organize notes.
Dump everything in—voice notes, meeting transcripts, web clips, random thoughts—and AI handles the filing.
Mem 2.0 brought improvements (faster, better AI), but my review is mixed. I like the hands-off approach, but the AI sometimes connects things that aren't related.
Offers a free tier, but real use requires Pro at $12/month.
Yes. AI note-taking tools transcribe conversations, generate summaries, extract action items, and help you search across everything you've captured. They're particularly useful for meetings, lectures, interviews, or anytime you need to focus on the conversation instead of frantically typing notes.
The right tool depends on your needs. If you want zero lock-in and complete control, use Char. If you need CRM integration, use something built for sales (Fathom). If you want AI to organize your messy thoughts, try Mem.ai.
ChatGPT can help you organize and summarize notes you've already taken, but it can't record or transcribe meetings. You'd need to feed it text manually—paste in a transcript, ask it to summarize or extract action items.
For actual meeting transcription and note-taking, you need dedicated tools like Char, Otter, or Granola that capture audio and transcribe in real-time. Some of these tools use GPT-4 for summarization, but the recording and transcription happens separately.
Yes, AI note-takers are legal, but recording conversations has legal requirements depending on your location. In the US, some states require "two-party consent" (everyone must agree to be recorded), while others only need "one-party consent" (you can record if you're part of the conversation).
The legal risk comes from recording without consent, not from using AI. Tools like Otter and Fireflies that join meetings as bots make it obvious you're recording. Tools like Char and Granola that capture system audio are invisible—so you need to tell people you're recording.
For work meetings, check your company's policy. For healthcare, legal, or finance, look for tools that handle consent properly (Char has consent management for enterprise).
Char records your microphone and system audio directly on your Mac. No bot, no cloud dependency, everything stored as plain markdown files you own.
Bot-based tools like Otter, Fireflies, and most meeting-focused AI note-takers join as visible participants. If you want invisible recording, use Char—just make sure you tell people you're recording.
No. AI makes mistakes—hallucinations, incorrect summaries, missed context. Always review AI-generated notes, especially for important meetings or decisions.
That said, AI transcription accuracy is generally 85-95% with good audio quality.
Char gives you complete control because everything is stored as plain markdown files on your device. You choose which AI processes your data—or keep it fully local. IT teams can audit the open-source code, and you can use the AI provider your security team approves.
Avoid tools with known security issues. Otter has a federal lawsuit about unauthorized recording. Fireflies has reports of bots joining meetings after account deletion. If control matters, use an open-source tool with zero lock-in.