Quill Meetings

OtterPilot joins your calls automatically, transcribes in real time, and delivers summaries your team can search through.

But transcription is table stakes in 2026. The question isn't whether your meeting tool can capture what was said. It's whether it can help you act on it.

That's where Otter and Quill diverge. Otter is a note-taker. Quill is an AI meeting assistant with agentic capabilities that turn conversations into completed work.

What Happens After the Meeting?

Otter captures your meeting, generates a transcript, and produces an AI summary. Action items are extracted. You can search across past meetings. You can share notes with your team.

Then what?

You still need to create the Linear tickets yourself. You still need to update the Notion doc. You still need to draft the follow-up email. You still need to remember what was discussed last week before your next call.

Quill, with Quilliam (launched early 2026), handles that execution layer. Quilliam is an agentic AI that acts as an "AI Chief of Staff" for knowledge workers. After a product meeting, it can create or update tickets in Linear, revise documentation in Notion, and draft follow-up emails to stakeholders. Before a client call, it surfaces relevant history from past meetings and prepares briefing materials.

Otter helps you remember the meeting. Quill helps you execute the work that comes after it.

The Intelligence Gap

Otter processes one meeting at a time. Each transcript exists in isolation. If you want to understand how a conversation evolved across your weekly 1:1s or project stand-ups, you're manually piecing together separate documents.

Quill thinks in threads. Your recurring meetings form a connected series. Thread Notes provide context across multiple meetings, so you can see patterns, track decisions over time, and understand the full arc of a relationship or project.

Output formats matter too. Otter produces AI-enhanced summaries and extracted action items, which work well for quick recaps. Quill gives you two formats:

Live Minutes capture what happened in real-time, chronologically, so you can refer back to exactly when something was said during a long call
Post-Meeting Notes organize information by topic rather than time

For project documentation and compliance, the "when" often matters as much as the "what."

Recording: Bot vs No Bot

Otter works primarily through OtterPilot, a visible AI agent that joins your meetings automatically and appears in the participant list. Otter does offer bot-free alternatives — a desktop app and Chrome extension — for users who prefer not to have an AI participant visible in the call.

Quill is bot-free by design. There's no additional participant. Quill captures audio directly from your device's system audio. And Quill's local audio diarization identifies speakers without sending raw audio to the cloud, so you get full speaker identification without the bot trade-offs.

Architecture: Where Your Data Lives

This is where the two tools differ most at a foundational level.

Otter's Architecture:

Otter processes audio and transcription through its cloud infrastructure. All data is stored on Otter's servers and accessible across their web, mobile, and desktop clients. Otter has earned SOC 2 Type 2 certification and offers HIPAA compliance as an add-on at the Enterprise tier. For teams that need additional data controls, Otter's Enterprise plan includes SSO/SCIM, enhanced security policies, and API/webhook access.

Quill's Architecture:

Quill's configurable local-first architecture puts users in control — you have the ability to specify your own AI processors and no private meeting data is stored on Quill's servers.

In the default configuration, audio never leaves your computer — transcription and speaker recognition happen locally. You can even transcribe meetings offline. Your meeting transcripts, your notes, your contacts are all stored in a local folder on your computer and Quill doesn't have access to them. Quill provides default US-based LLMs that you may use for note generation and follow-up actions with zero-retention policies, and Quill's servers themselves never log any inputs or outputs to or from the LLM providers.

If you configure Quill with your own AI providers, Quill's desktop application will connect directly to your chosen provider, bypassing Quill's servers entirely. You can use a local LLM host like Ollama or LM Studio to run completely offline, or use your own personal or corporate account or inference server at OpenAI, Anthropic, Google, Azure, AWS Bedrock, LiteLLM, or any OpenAI-compatible endpoint. You can also configure a cloud transcription provider of your own choice if you prefer.

For teams in regulated industries or for whom client confidentiality is a concern, this architecture simplifies compliance conversations significantly.

Feature Comparison

Feature	Quill Meetings	Otter.ai
Core Function	AI Meeting Assistant (agentic)	Note-Taker (transcription-focused)
Agentic AI Capabilities	Yes (Quilliam)	No
Thread Notes	Yes (context across series of meetings)	No (one meeting at a time)
Output Format	Live Minutes + Post-Meeting Notes	AI-enhanced summary + action items
Data Architecture	Local-First (no private meeting data stored on Quill's servers)	Cloud-Standard
Meeting Recording Method	Bot-Free (System Audio)	Bot by default (OtterPilot); bot-free via desktop/Chrome
Speaker Recognition	Local audio diarization (no cloud processing)	Yes
AI Configuration	Fully Configurable (Bring your own LLM)	Fixed (Otter's infrastructure)
Offline Transcription	Yes	No
Platforms	macOS, Windows	macOS, Windows, iOS, Android, Web, Chrome
Real-Time Transcription	Yes	Yes
AI Chat with Transcripts	Yes	Yes
Custom Templates	Yes (unlimited)	Yes (custom AI workflows)
Meeting Search	Across all meetings	Across all meetings
SOC 2 Type 2	Certified	Certified
Model Training on User Data	No	No
Video Recording	No (audio & text-optimized; screenshots supported)	Business tier and above
CRM Integrations	Salesforce, HubSpot, Pipedrive, Attio, Affinity, Ashby	Salesforce, HubSpot, Microsoft Dynamics, Zoho, + more
Collaboration Integrations	Slack, Linear, Notion	Slack, Notion, Asana, Jira, ClickUp, + more
Total Native Integrations	Focused set	40+ integrations
API Access	Yes	Business tier and above
Local Model Support	Yes (User-configured)	No
Meeting Intelligence MCP Server	Yes	Yes
Arbitrary custom MCP integrations	Yes	No
Claude Desktop Extension	Yes	No
Multi-Lingual Transcription	Yes — configure languages once; all meetings can transcribe in multiple languages within a single conversation	English-primary; limited multilingual support

What Quilliam Can Actually Do

Quilliam connects to tools via Model Context Protocol (MCP), including Notion, Linear, Affinity, Obsidian, Airtable, Manus, and Gamma. More importantly, Quilliam can connect to any MCP server, making it arbitrarily extensible.

After meetings:

Create or update tickets in Linear based on decisions made
Revise documentation in Notion with new information
Draft follow-up emails to stakeholders
Update CRM records with conversation context

Before meetings:

Surface relevant history from past meetings with the same participants
Prepare briefing materials based on previous conversations
Identify open action items from the last meeting in the thread

Across your workflow:

Query all past calls ("Summarize top security requests from my last three meetings")
Turn meeting insights into structured work without copy-pasting
Learn your patterns over time and customize automations

Otter offers an MCP server, which makes meeting data accessible to external AI tools — useful for pulling transcripts into workflows with ChatGPT or Claude. But an MCP server is a passive data layer: it exposes information, it doesn't act on it.

Quill has both an MCP client and an MCP server. The MCP client is what allows Quilliam to take actions inside tools like Notion, Linear, Affinity, and Airtable — not just expose data to them. The difference is passive data access versus active workflow execution, and Quill is built for the latter.

Integration Ecosystems

Otter has built a solid integration ecosystem with 40+ native connections. This includes meeting platforms (Zoom, Google Meet, Microsoft Teams), CRMs (Salesforce, HubSpot, Microsoft Dynamics, Zoho, Outreach, Salesloft), project management tools (Asana, Monday.com, ClickUp, Jira, Notion), storage services (Google Drive, Dropbox, OneDrive, SharePoint), and analytics tools (Snowflake, Airtable). Otter also supports Zapier for custom automations.

Quill takes a more focused approach to integrations, prioritizing depth over breadth. The platform connects with key CRMs (Salesforce, HubSpot, Pipedrive, Attio, Affinity, Ashby), collaboration tools (Slack, Linear, Notion), and offers capabilities that Otter doesn't: arbitrary custom MCP integrations, a Claude Desktop Extension, a private MCP server for connections to external AI agents, and meeting/note webhooks for custom workflows.

For teams that need to push meeting data into a wide variety of existing tools, Otter's integration library is broader. For teams building custom workflows or wanting agentic execution, Quill's approach offers more flexibility.

Pricing Comparison

Otter:

Free: 300 minutes/month transcription, 25 most recent conversations saved, Zoom/Teams/Meet integration, AI Chat
Pro: $16.99/user/month or $8.33/user/month billed annually — 1,200 min/month, advanced AI workflows, Salesforce/HubSpot integration, up to 90 min/meeting
Business: $30/user/month or $19.99/user/month billed annually — unlimited transcription and recordings, up to 4 hours/meeting, 3 concurrent meetings, custom AI workflows
Enterprise: Custom — SSO/SCIM, HIPAA add-on, API/webhooks, video replay, Customer Success

Quill:

Free: Unlimited transcription and speaker recognition, local processing
Lite: $7.99/month or $83.88/yr
- 16 hours of meetings with AI notes per month. Unlimited non-pro transcription.
- All pro AI features.
- Quill mobile app for in-person recording
Unlimited: $19.99/month
- Unlimited meetings with AI notes
- All pro AI features
Teams: $15/seat/month or $144/seat/yr
- Team management
- Organization-level custom templates, automations, model configuration, data retention & compliance policies

Known Limitations

Otter

No Agentic Capabilities: Otter captures and organizes meeting data but doesn't execute follow-up work. Users must manually create tickets, update docs, and draft emails.
Single-Meeting Context: No intelligence across recurring meetings. Each transcript is isolated.
Transcription Limits on Free and Pro: Free users get 300 minutes/month; Pro users get 1,200 minutes — about 20 hours, which active meeting users can exhaust quickly.
English-Primary: Otter's transcription quality is strongest in English. Multilingual support is limited compared to tools built for international teams.
Cloud-Only Processing: No offline transcription or local processing option. Requires an internet connection for all recording and transcription.
No BYO-LLM: Otter uses its own AI infrastructure for all processing. You cannot configure an alternative AI provider.

Quill

Text-Optimized: Quill focuses on transcripts and notes rather than video playback. No video recording feature.
Fewer Native Integrations: Quill's integration library is more focused than Otter's 40+ connections.
Platform Coverage: Currently macOS and Windows only. No web app or mobile client for meeting capture (mobile app available for in-person recording).

Who Each Tool Serves Best

Choose Otter if:

You primarily need transcription and searchable meeting archives
You need broad integration coverage across CRM, project management, and storage tools
Video recording of meetings is important to your workflow

Choose Quill if:

You want an AI assistant that executes work, not just takes notes
You need context across meetings, not just isolated transcripts
Bot-free recording with full speaker identification matters
You work in a regulated industry where data residency matters
You want control over which AI providers process your data
You need local model support or want to bring your own LLM
You're building custom AI workflows using MCP integrations

The Category Shift

The AI meeting tool space has matured past transcription. Accuracy is high enough across most tools. Search works. Summaries are decent.

The question is what comes next.

Otter represents the first generation: capture everything, make it searchable, let humans figure out what to do with it.

Quill represents the next step: understand the meeting, connect it to your other meetings, and execute the follow-up work that meetings generate.

If you need a reliable note-taker with broad integrations, Otter does that job well.

If you need an AI meeting assistant that turns conversations into completed work, that's what Quill was built for.

Frequently Asked Questions

Does Quill store my meeting data on its servers?

No. Quill meeting data is stored on your computer.

What is Quilliam and how is it different from Otter's AI features?

Quilliam is Quill's agentic AI, acting as an "AI Chief of Staff." Launched in early 2026, it goes beyond note-taking by connecting to tools like Linear, Notion, Affinity, and Airtable via MCP, and using your meeting context to execute follow-up workflows — creating tickets, updating docs, drafting emails. Otter's AI features analyze and summarize meetings but don't execute workflows.

Does Quill work offline?

Yes. Quill transcribes meetings locally on your device and doesn't require an internet connection to record or transcribe. Otter requires an internet connection for all transcription.

Which is better for privacy-sensitive industries?

Quill's configurable local-first architecture means no private meeting data is stored on Quill's servers, which can simplify compliance for teams in healthcare, legal, finance, and defense. Otter processes data in cloud infrastructure; Enterprise customers can add HIPAA compliance and enhanced security controls.

Does Quill have a bot that joins meetings?

No. Quill is bot-free by design. It captures system audio directly from your device with no visible participant joining the call, and works with every meeting platform automatically. Otter uses OtterPilot by default — a visible AI agent that joins the call — with bot-free options available via its desktop app and Chrome extension.

Can I use my own AI models with Quill?

Yes. Quill lets you configure your own LLM endpoints — including Azure, OpenAI, Google, or local/private network models — bypassing Quill's routing layer entirely. Otter does not offer this option.

Ready to see how agentic meeting intelligence works? Download Quill and test it with your actual workflow.

New users who sign up via a referral get $20 in credit to get started.

Quill vs Otter.ai: From Meeting Notes to Completed Work