Otter AI Meeting Agent supports real-time transcription, live chat, automated summaries, insights, and action items.
Otter.ai is praised for its effective transcription capabilities and AI-driven features, which many users find beneficial for transcribing meetings and lectures. However, some users express frustration with integration issues, particularly with Microsoft 365 connectors. The sentiment around pricing is generally neutral, with some users feeling that the benefits justify the costs, especially for team and enterprise plans. Overall, Otter.ai maintains a positive reputation as a reliable tool in the transcription space, despite some integration challenges.
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Otter.ai is praised for its effective transcription capabilities and AI-driven features, which many users find beneficial for transcribing meetings and lectures. However, some users express frustration with integration issues, particularly with Microsoft 365 connectors. The sentiment around pricing is generally neutral, with some users feeling that the benefits justify the costs, especially for team and enterprise plans. Overall, Otter.ai maintains a positive reputation as a reliable tool in the transcription space, despite some integration challenges.
Features
Use Cases
Industry
information technology & services
Employees
200
Funding Stage
Series B
Total Funding
$63.0M
Pricing found: $16, $16, $8, $30, $24 /user
I cancelled my AI notetaker subscription and built my own tool using Claude Code. It works well (and it's free)
It does what Fathom, Otter, and Fireflies charge $15–$30/seat/month for. I shipped a fully working AI meeting note-taker last weekend. I use this exact setup to Records calls then transcribes and Summarizes key points, it then pulls action items and then creates shareable notes all whilst running inside my Claude workflow. . The whole setup takes one weekend to build. --- Here’s how it works:(you can copy this exactly) Step 1 → Fork the repo, drop into Cursor Step 2 → Set env vars: transcription key, database URI, admin creds, session secret Step 3 → Record or upload your meeting Step 4 → The audio gets transcribed Step 5 → Claude turns the transcript into structured notes, decisions, follow-ups, and action items Step 6 → Click “Share link” → send anywhere Total build time: ~1 weekend. Cost: $0/month. --- Why the 5-piece stack is the unlock? Most "build your own SaaS" attempts fall flat because they bolt features together without designing the user flow first. This stack works because the data path was decided before any UI got rendered. Every SaaS feature you pay for has a primitive underneath. Loom = browser recorder + S3 + share links. Otter = Whisper API + database + UI. Calendly = a calendar API + booking page. The features stopped being moats the moment Cursor + Claude could write the glue in an afternoon. You're not paying for technology anymore you're paying for distribution and brand. That's why this build pattern works. The assembly is now free. --- Why Claude? Because meeting notes are not just summaries. They need context. Claude can take a raw transcript and turn it into: * decisions * objections * follow-ups * action items * CRM-ready notes * client context * internal operating memory That is where the value is. --- https://github.com/albertshiney/utter_public submitted by /u/Tabani897_YT [link] [comments]
View originalMicrosoft 365 connector not appearing in Claude Connectors directory
I’m trying to connect Microsoft 365 (Outlook, calendar) to Claude using the built-in MCP connector. I’m on a personal Max plan (not Team or Enterprise). I’ve done the following: • Confirmed my org has Microsoft 365 Business with Entra ID Premium P1 • I’m the Global Administrator on the tenant • Clicked “Get it now” on the M365 Connector for Claude in the Microsoft Marketplace and completed the authorization • Verified the enterprise apps were provisioned in Entra The problem: Microsoft 365 does not appear anywhere in the Claude Connectors directory at claude.ai/customize/connectors. I’ve searched “365,” “Microsoft,” “Outlook” — nothing. Other connectors like Slack and Otter work fine. Anthropic’s docs say the M365 connector is available on all plans including Free, Pro, and Max. Has anyone on an individual (non-Team) plan actually gotten this working? Is there a direct URL or manual setup step I’m missing? submitted by /u/Vivid_Sea_1001 [link] [comments]
View originalI built AmicoScript with Claude Code: A local-first transcription tool with Speaker ID and Ollama support
Hey everyone, I wanted to share a project I’ve been working on called AmicoScript. It’s a local-first web UI for audio transcription that handles the privacy-sensitive task of turning recordings into text without sending data to the cloud. I relied heavily on LLMs to architect the backend and handle the "plumbing" between the different ML models. It’s been a great exercise in seeing how far AI-assisted coding can go for a functional, multi-container project. What it does: • Transcription: Uses Whisper (tiny to large-v3) running locally. • Speaker ID: It identifies different speakers so the transcript actually makes sense (Speaker 0, Speaker 1, etc.). • Ollama Integration: This is my favorite part—once transcribed, you can send the text to your local Ollama instance to generate summaries or action items. • Docker Ready: It’s fully containerized. A simple docker compose up --build gets you a private "Otter.ai" alternative on your own hardware. I’m looking for feedback on the UI and any ideas on how to improve performance on old hardware. GitHub: https://github.com/sim186/AmicoScript submitted by /u/seamoce [link] [comments]
View originalFireflies and Otter just launched MCP connectors for meeting data — here's the open-source one you can self-host
Fireflies just became the first meeting tool in Anthropic's official Claude MCP Directory. Otter.ai launched an enterprise MCP server too. tl;dv has one as well. The "meeting data + MCP" space is heating up fast. But all three are closed-source, cloud-only. Your meeting data — strategy discussions, financials, personnel decisions — goes through their servers. I've been building Vexa, an open-source meeting bot API, and we've had a native MCP server since before any of them. The difference: it's Apache 2.0, and you can run the entire stack on your own infrastructure. Setup (takes ~2 minutes): { "mcpServers": { "vexa": { "url": "https://api.cloud.vexa.ai/mcp", "headers": {"X-API-Key": "your-key"} } } } Drop that in your Claude Desktop config, and you can ask: "What did we decide about pricing in last Tuesday's meeting?" "Summarize action items from all meetings this week" "Find every time [person] mentioned the deadline" Or self-host the whole thing: git clone https://github.com/Vexa-ai/vexa cd vexa docker compose up MCP server included. Your meeting data never leaves your network. GitHub: https://github.com/Vexa-ai/vexa (1,700+ stars, Apache 2.0) Happy to answer questions about MCP, the architecture, or how this compares to Fireflies/Otter's approach. submitted by /u/Aggravating-Gap7783 [link] [comments]
View originalYes, Otter.ai offers a free tier. Pricing found: $16, $16, $8, $30, $24 /user
Key features include: Where conversations live, Trusted by teams, loved by people, Connect to your favorite apps, Flexible plans for teams, individuals, and enterprises.
Otter.ai is commonly used for: Transcribing meetings for accurate record-keeping, Generating meeting summaries for quick reviews, Facilitating remote collaboration through shared transcripts, Enhancing accessibility for hearing-impaired team members, Creating searchable archives of conversations for future reference, Integrating with project management tools to streamline workflows.
Otter.ai integrates with: Zoom, Google Meet, Microsoft Teams, Slack, Dropbox, Evernote, Trello, Asana, Notion, Salesforce.
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