Otter.ai

Otter.ai is one of the most recognizable names in AI transcription, and for good reason. The company has been refining its real-time transcription engine for years, and the result is a mature product that handles live meetings with impressive accuracy. Otter can transcribe conversations as they happen, identify different speakers, and generate searchable, shareable transcripts that teams can collaborate on in real time.

The platform integrates with Zoom, Google Meet, and Microsoft Teams, automatically joining meetings via a bot that records and transcribes. This bot-based approach is standard in the industry but comes with trade-offs: meeting participants see the bot join, and some find it intrusive or awkward. For teams that have normalized AI recording, this is a non-issue. For client-facing calls or sensitive discussions, it can create friction.

Otter has expanded well beyond simple transcription. The platform now includes OtterPilot, which can automatically join meetings, take notes, capture slides, and generate action items. The collaboration features allow team members to highlight key moments, add comments, and assign action items directly within the transcript. For teams that treat meeting notes as living documents, this workflow is genuinely useful.

Key Features

Otter’s core strength is its real-time transcription engine, which delivers live captions with speaker identification during meetings. OtterPilot automatically joins scheduled meetings and captures everything. The AI generates summaries and action items after each meeting. A chat feature lets you ask questions about your meetings using natural language. The platform also offers a shared workspace where teams can organize, search, and collaborate on meeting content. Integrations with Salesforce, HubSpot, and other tools allow automated workflows.

Pricing

Otter’s free plan includes 300 minutes of transcription per month and basic AI features. The Pro plan at $16.99 per month bumps this to 1,200 minutes and adds advanced search, custom vocabulary, and priority support. The Business plan at $30 per month per user adds admin controls, analytics, and compliance features. Enterprise pricing is custom. The per-user pricing can add up quickly for larger teams. A team of 10 on the Business plan is paying $300 per month. That is significant when privacy-focused alternatives like Hedy offer more capability at a lower price point.

Privacy & Security

This is where Otter requires careful consideration. All audio is streamed to Otter’s cloud servers for processing, which means your meeting content passes through third-party infrastructure. Otter states that data is encrypted in transit and at rest, and they offer SOC 2 Type II compliance. But the fundamental architecture means your conversations, including any sensitive business discussions, are processed and stored on external servers. Organizations in regulated industries or those handling confidential client information should evaluate whether this exposure aligns with their data governance requirements.

Best For

Otter.ai is best suited for teams and organizations where collaboration around meeting content is a priority and where cloud processing is acceptable within their security posture. Marketing teams, product teams, and organizations that thrive on shared documentation will appreciate Otter’s collaborative features. It is less ideal for legal teams, executive discussions, or any context where meeting content is highly confidential.

How Otter.ai Compares to Hedy

Otter has years of market presence and a polished collaboration layer that Hedy is still building out. Where Hedy pulls decisively ahead is in privacy architecture and recording flexibility. Otter requires cloud processing for everything; your audio always leaves your device. Hedy processes entirely on-device, meaning your meeting content never touches external servers. Otter’s bot-based recording only works with supported video conferencing platforms, while Hedy captures system audio directly and works with any meeting tool, phone calls, and in-person conversations. Otter has no offline capability whatsoever; Hedy works fully offline. For teams where privacy is non-negotiable, Hedy offers what Otter structurally cannot. For teams that prioritize collaborative annotation over privacy, Otter remains a strong contender.