Otter.ai Review

Introduction

Do you ever leave a meeting feeling like you missed key details or action items? In today’s fast-paced work environment, capturing the essence of conversations—especially in remote or hybrid settings—can be a significant challenge. This is where AI-powered tools promise to transform how we handle meeting follow-ups. Otter.ai positions itself as a solution, aiming to automate note-taking, transcription, and task extraction. But does it truly deliver on its promise to save time and boost productivity?

This review will explore Otter.ai from a practical user perspective, drawing on its core capabilities. We’ll examine how its features, such as live transcription, automatic meeting joining for platforms like Zoom and Microsoft Teams, and action item assignment, stack up against everyday workflow needs. You’ll get a balanced look at its strengths—like the ability to recall past conversations through search—and potential limitations, such as accuracy in complex audio environments. We’ll also touch on specialized offerings like OtterPilot for Sales, which extracts sales framework information, to see who benefits most.

Ultimately, this review aims to help you decide if Otter.ai is the right fit for your team’s productivity toolkit. We’ll break down its performance, usability, and value without relying on unverified claims, focusing instead on what the tool can realistically offer. By the end, you’ll have a clear picture of whether it can streamline your meeting workflow or if simpler alternatives might suffice.

What is Otter.ai?

Otter.ai is an AI-powered meeting assistant designed to automate the note-taking, transcription, and follow-up process for teams and individuals. At its core, the platform listens to conversations—whether live meetings or recorded audio—and generates real-time, searchable text transcripts. It goes beyond simple dictation by using artificial intelligence to identify speakers, highlight key points, and automatically extract action items and tasks, which can then be assigned to team members. The goal is to eliminate the manual burden of note-taking, ensuring that no detail is lost and that follow-ups are streamlined.

The Company and Its Mission

The company behind Otter.ai, founded in 2016, has focused on developing conversational AI to improve workplace communication and productivity. Their mission centers on making spoken information accessible, searchable, and actionable. By leveraging advancements in natural language processing (NLP) and machine learning, Otter.ai aims to transform how teams collaborate, especially in remote and hybrid environments where verbal communication is primary but often asynchronous. The platform has evolved from a basic transcription tool to a more comprehensive productivity suite, adding features like integrations with popular video conferencing platforms and specialized tools for sales teams.

Market Positioning and Target Audience

Otter.ai positions itself in the competitive landscape of meeting productivity tools, sitting between simple transcription services and full-scale collaboration platforms. Its primary target audience includes knowledge workers, project managers, sales professionals, and educators who frequently participate in meetings and need to capture and act on information efficiently. For teams using Zoom, Microsoft Teams, or Google Meet, Otter.ai offers a seamless way to join meetings automatically and provide live notes. The specialized OtterPilot for Sales feature, which extracts information like BANT (Budget, Authority, Need, Timeline), further targets sales teams looking to automate CRM data entry. This positions Otter.ai not just as a note-taker, but as an active participant in the meeting workflow, aiming to boost productivity by reducing administrative tasks and improving accountability through clear action item assignment.

How It Fits into Your Workflow

For users, Otter.ai integrates directly into existing meeting habits. You can set it to automatically join scheduled meetings on your calendar, or manually upload recordings for transcription. The live transcription provides real-time captions, which can be useful for participants who are hard of hearing or in noisy environments. After the meeting, the transcript becomes a searchable archive, allowing you to quickly recall discussions. The AI’s ability to chat with your meeting recordings—asking questions like “What were the action items?”—offers a novel way to interact with past conversations. While it promises significant time savings, it’s important to note that its accuracy can vary with audio quality, accents, and background noise, which is a common challenge for all AI transcription tools. In essence, Otter.ai serves as a digital assistant that aims to make meetings more productive by handling the clerical work, allowing you to focus on the conversation itself.

Key Features and Capabilities

Otter.ai’s core value proposition revolves around its ability to automate the entire meeting lifecycle, from capture to action. The platform’s primary function is live transcription, which converts spoken conversations into searchable text in real-time. This isn’t just a simple audio-to-text converter; the AI is designed to identify different speakers, which is crucial for understanding who said what in a group discussion. For users, this means you can follow along with a written record as the meeting progresses, making it easier to stay engaged without frantic note-taking. The transcript is automatically saved and organized, forming a searchable archive of your past conversations. However, it’s important to set realistic expectations: while the technology is impressive, its accuracy is not perfect. Factors like poor audio quality, strong accents, or overlapping speech can lead to errors, which is a universal challenge for all AI transcription services. The practical impact is a significant reduction in manual effort, but a final human review is often necessary for critical documents.

Beyond transcription, Otter.ai’s automatic meeting summaries and action item extraction are where it moves from a passive recorder to an active assistant. After a meeting concludes, the AI analyzes the transcript to generate a concise summary of key discussion points. More importantly, it identifies potential action items and tasks mentioned during the conversation. This feature directly addresses the common pain point of post-meeting follow-up, where tasks often get lost in the shuffle. For team leads, the ability to have action items automatically suggested can streamline delegation. The platform also allows for the automatic assignment of these tasks to team members, fostering accountability. In practice, this means a project manager can quickly review the AI-generated list, assign owners, and ensure everyone leaves with clear next steps, transforming a meeting from a discussion into a documented plan with minimal administrative overhead.

A standout feature that elevates Otter.ai beyond basic transcription is its OtterPilot for Sales. This specialized tool is tailored for sales professionals who use frameworks like BANT (Budget, Authority, Need, Timeline) to qualify leads. During a sales call, OtterPilot actively listens and extracts this specific information, populating fields that can be used for CRM data entry. For a sales representative, this means less time spent manually logging call details and more time focusing on the client conversation. The AI is trained to recognize and pull out these structured data points, which can be a powerful efficiency gain for high-volume sales teams. While this is a powerful capability for its target audience, it’s worth noting that its utility is less pronounced for teams that don’t use standardized sales frameworks, highlighting the tool’s specialization.

Integration is a critical component of any productivity tool, and Otter.ai excels by joining meetings automatically on platforms like Zoom, Microsoft Teams, and Google Meet. Once connected to your calendar, the AI can be set to join scheduled meetings without any manual intervention from you. This “set it and forget it” approach is a major convenience, ensuring that no meeting is left undocumented due to forgetfulness. The live notes are displayed within the Otter.ai interface, and participants can also view them in the chat of the meeting platform itself, depending on the integration. This seamless integration means you don’t have to switch between apps to access your notes; they are available where you work. The strength here is the reduction of friction, though users should be mindful of meeting etiquette and participant consent, as the AI’s presence is a recorded participant.

Perhaps one of Otter.ai’s most innovative features is the ability to “chat” with your meeting recordings. This transforms your meeting archive into an interactive knowledge base. Instead of scrubbing through a long audio file or reading a full transcript, you can ask natural language questions like, “What was the decision on the budget?” or “List all action items for Sarah.” The AI scans the relevant transcript and provides a direct answer. For teams, this is invaluable for recalling details from past meetings, onboarding new members, or conducting audits. It effectively solves the problem of information being trapped in siloed recordings. The feature encourages a more dynamic use of meeting data, moving from a static record to a queryable resource. However, its effectiveness is directly tied to the quality and organization of your past recordings, so consistent use is key to building a valuable knowledge library.

User Experience

Otter.ai’s user experience is built around seamless integration into your existing meeting routine. The initial setup is straightforward: you connect your calendar (Google, Outlook, etc.) and grant access to your preferred video conferencing platforms like Zoom, Microsoft Teams, or Google Meet. From there, you can configure whether Otter.ai should automatically join meetings that appear on your calendar. This “set-it-and-forget-it” approach is a significant win, as it removes the need to manually start the bot for every session. The interface itself is clean and web-based, with a mobile app available for on-the-go access. For a first-time user, the learning curve to start basic transcription is minimal—you can be up and running in minutes, which meets the expectation for a frictionless productivity tool.

How Does the Day-to-Day Workflow Actually Feel?

In practice, Otter.ai’s core value shines in its live transcription capabilities. During a meeting, participants can follow along with the real-time captions on their screen, which is especially useful in noisy environments or for those who are hard of hearing. The AI’s ability to identify speakers is a critical feature here; seeing names attributed to speech makes the transcript usable immediately, without needing to decipher who said what. Post-meeting, the experience transitions to the archive. Here, you can search past conversations using keywords, which is far faster than scrubbing through audio files. The ability to chat with your meeting recordings by asking questions like “What were the main decisions?” or “List action items for ‘Project Alpha’” feels intuitive and powerful, turning a static transcript into an interactive knowledge base.

Does It Integrate Smoothly into Team Workflows?

For collaborative teams, Otter.ai aims to be more than a personal note-taker. Its action item extraction and auto-assignment features are designed to streamline follow-ups. After a meeting, the AI scans the transcript for tasks and the next steps, suggesting assignments to attendees. This can create a clear handoff from discussion to execution. However, the effectiveness here depends on the quality of the meeting audio and the clarity of the conversation. While the AI is adept at picking up on explicit statements like “I’ll send the report,” it may miss nuanced or implied responsibilities, requiring manual review and correction. For sales teams, the OtterPilot for Sales offers a more specialized experience, automatically extracting BANT information. This can feel like a dedicated assistant for sales calls, but users outside of a sales context will find this feature less relevant.

What Are the Practical Limitations?

While Otter.ai delivers substantial productivity gains, its performance is not infallible. The primary limitation is transcription accuracy, which can be affected by factors like background noise, poor microphone quality, strong accents, or participants speaking over one another. In these scenarios, you may encounter misheard words or unclear speaker labels, which means the transcript often serves as a first draft that requires human oversight. Furthermore, the tool’s integration is deep but not universal; its automatic joining works best with standard calendar entries and widely used platforms, but users with more complex meeting setups or less common software may need to adjust their workflow. The learning curve is minimal for basic use, but leveraging advanced features like custom vocabulary or optimizing action item extraction requires some configuration and experimentation to get the best results.

Performance and Quality

Otter.ai’s performance hinges on its core promise: to reliably capture, transcribe, and summarize meetings with minimal user intervention. The platform largely delivers on this, particularly in reducing the manual labor of note-taking. Its real-time transcription engine is its workhorse, converting spoken words into a searchable text archive. For most standard meetings in a quiet environment with clear audio, the system performs admirably, creating a coherent written record that allows participants to be fully present in the conversation. However, it’s crucial to understand that this is an assistive technology, not a perfect one. The reality is that transcription accuracy is its most variable performance metric, directly impacted by audio quality, speaker accents, and crosstalk. Users should expect a high-quality draft, but a final human review is often necessary for critical documentation.

A key performance indicator for Otter.ai is its reliability in real-world scenarios. The platform’s ability to automatically join scheduled meetings on platforms like Zoom, Teams, and Google Meet is a significant strength, offering a consistent “set-it-and-forget-it” experience that aligns with user expectations for automation. Once configured, it generally operates as an invisible participant, capturing audio without disrupting the flow. This reliability, however, has its boundaries. Performance can dip in complex audio environments where background noise or multiple people speaking simultaneously challenge the AI’s speaker diarization. Furthermore, the system’s effectiveness with specialized terminology or jargon can vary. While you can train the AI with a custom vocabulary, the initial pass may contain errors in niche fields. Thus, while the infrastructure for reliable capture is solid, the output quality requires context-aware management.

When comparing Otter.ai’s performance to general expectations for AI meeting assistants, it excels in specific, high-value areas while having limitations in others. The OtterPilot for Sales feature, for instance, delivers on its specialized promise by actively extracting BANT information during sales calls. This is a tangible performance win for sales teams, automating data entry that would otherwise be manual. Similarly, the ability to chat with meeting recordings transforms a static archive into a dynamic knowledge base, performing well for recall-based queries. However, expectations for fully autonomous, perfect action item extraction should be tempered. While the AI identifies potential tasks, the assignment and context often require a human touch to ensure accuracy. For teams seeking a comprehensive automation suite, Otter.ai performs best as a powerful capture and search engine, with the understanding that human oversight enhances its reliability for critical follow-ups.

Ultimately, Otter.ai’s performance is strongest when viewed as a force multiplier for meeting efficiency rather than a flawless replacement for human attention. Its strengths lie in consistent audio capture, creating a searchable archive, and providing intelligent starting points for summaries and action items. The performance gap typically appears not in its core functions, but in edge cases: poor audio, heavy accents, or highly ambiguous language. For users who prioritize reducing manual note-taking and want a reliable record to search and query, it performs exceptionally well. For those requiring absolute, unedited transcripts for legal or compliance purposes, additional verification is needed. The tool’s performance is a direct reflection of the input quality it receives, making it an excellent performer in well-managed meeting environments.

Pricing and Value

Understanding Otter.ai’s Cost Structure

Otter.ai uses a freemium model with several paid tiers designed to scale with your needs. The free Basic plan offers a generous starting point: 300 monthly transcription minutes, 30 minutes per conversation, and the ability to record and transcribe meetings in real-time. This tier is ideal for individuals or small teams testing the waters, though it lacks advanced features like OtterPilot for Sales, custom vocabulary, or team workspaces. Paid plans—Pro, Business, and Enterprise—unlock higher transcription limits, advanced editing tools, and collaboration features. For example, the Pro plan (typically around $10-$20 per user/month when billed annually) removes the per-conversation time cap and adds 1,200 monthly minutes. The Business tier (around $20-$30 per user/month) adds features like OtterPilot for Sales, custom branding, and admin controls. Enterprise pricing is custom-quoted, catering to larger organizations with security and integration needs.

Is Otter.ai Worth the Investment?

The value for money largely depends on how frequently your team relies on meeting transcription and follow-up automation. For professionals who attend multiple meetings daily, the time saved from manual note-taking can justify the monthly cost. The Pro plan is often the sweet spot for small teams, offering enough minutes for regular use and the ability to search past conversations. For sales teams, the Business plan includes OtterPilot for Sales, which automatically extracts BANT (Budget, Authority, Need, Timeline) information—a feature that could streamline CRM updates and reduce manual data entry. However, if your meetings are infrequent or low-stakes, the free tier might suffice. The primary value lies in reducing cognitive load and ensuring accountability through auto-assigned action items, but the cost feels steep if you’re only using it sporadically. It’s also worth noting that transcription accuracy, while generally good, isn’t perfect, which means you might still invest time in editing transcripts—potentially diluting the time-saving promise.

How Does It Compare to Alternatives?

When evaluating alternatives, Otter.ai sits between manual note-taking and competitors like Fireflies.ai or Rev. Manual notes are free but time-consuming and prone to errors, especially in fast-paced discussions. Otter.ai automates this process, but its pricing is competitive with similar AI meeting assistants. For instance, Fireflies.ai offers a comparable free tier and paid plans with similar features, though Otter.ai’s OtterPilot for Sales gives it an edge for revenue teams. Rev, on the other hand, combines AI with human-reviewed transcripts for higher accuracy but at a higher per-minute cost. Compared to Notion AI (mentioned in earlier sections), Otter.ai is a specialist tool focused solely on meetings, whereas Notion AI is a generalist integrated into a broader workspace. If your workflow centers around meeting documentation and action-item tracking, Otter.ai’s dedicated features may offer better value. However, if you need a unified platform for notes, databases, and AI-assisted writing, a tool like Notion AI might be more cost-effective as part of a larger ecosystem. Ultimately, Otter.ai justifies its price for teams that prioritize meeting efficiency and collaboration, but it’s less compelling for casual users or those seeking a multi-purpose AI assistant.

Pros and Cons

What are Otter.ai’s main strengths?

Otter.ai excels at reducing the manual burden of meeting documentation. Its core value lies in automating the capture and organization of spoken conversations, which is a significant productivity boost for teams that rely heavily on meetings. The platform is designed to integrate smoothly into existing workflows, particularly for users of popular video conferencing tools.

Key strengths include:

• Seamless Automation: Otter.ai can automatically join meetings from your calendar, eliminating the need to manually start a recording for every session.
• Real-Time Transcription: It provides live, searchable text as meetings happen, allowing participants to focus on the discussion rather than taking notes.
• Actionable Summaries: The AI automatically identifies and suggests action items, which can be assigned to attendees to streamline follow-ups and accountability.
• Specialized Sales Features: The OtterPilot for Sales is a powerful tool for revenue teams, automatically extracting key BANT information during calls to aid in CRM updates.
• Conversational Recall: The ability to “chat” with past meeting recordings turns your archive into a searchable knowledge base, making it easy to find specific information without scrubbing through audio.
• Accessible Entry Point: A generous free plan allows individuals and small teams to test the core functionality without an upfront investment.

What are the limitations and weaknesses?

While Otter.ai delivers substantial value, its performance is not infallible and is highly dependent on the quality of the input. The tool is best viewed as a powerful assistant that requires human oversight for accuracy, especially in complex or critical situations.

Key limitations include:

• Variable Transcription Accuracy: Performance can degrade with background noise, poor audio quality, strong accents, or participants speaking over one another, often requiring manual correction of the transcript.
• Feature Relevance: Specialized tools like OtterPilot for Sales are less valuable for users outside of a sales context, making some paid features niche.
• Dependence on Audio Quality: The tool’s effectiveness is a direct reflection of the meeting’s audio clarity; it cannot compensate for poor recording conditions.
• Learning Curve for Advanced Use: While basic use is simple, optimizing features like custom vocabulary or getting the most out of action item extraction requires some configuration and experimentation.

Bottom Line: Otter.ai is a force multiplier for meeting efficiency, ideal for teams that need to capture, search, and act on conversations. However, it is not a perfect, hands-off replacement for human note-takers, and its value is maximized when used with an understanding of its limitations.

Who Should Use Otter.ai?

Otter.ai is not a universal tool for every professional, but for specific user profiles, it can transform how meetings are documented and acted upon. Its value is most pronounced for teams and individuals who sit through many meetings and struggle with the follow-up. If you find yourself constantly switching between listening, typing notes, and trying to remember action items, Otter.ai is designed to automate that cognitive burden. The tool acts as a dedicated participant, capturing the entire conversation so you can focus on the discussion itself. For the right user, this shift from manual documentation to automated capture is a significant productivity upgrade.

Ideal User Profiles and Use Cases

Sales teams are a primary target, especially those using the OtterPilot for Sales feature. During client calls, the AI can automatically extract key BANT (Budget, Authority, Need, Timeline) information and populate CRM fields, reducing post-call admin work. For a project manager leading cross-functional meetings, Otter.ai’s action item extraction and auto-assignment can streamline follow-ups, ensuring tasks are clearly captured and distributed. Remote and hybrid workers benefit immensely from the searchable archive; missing a meeting is less stressful when you can instantly review the transcript or ask the AI chat for a summary of a decision you missed. Content creators and journalists also find value in recording interviews, using the searchable transcripts to find quotes and details efficiently.

Conversely, there are clear scenarios where Otter.ai may be less suitable. If your meetings are primarily one-on-one conversations in a quiet setting, a simple voice memo app might suffice without the cost or complexity. Teams that rely on highly visual or whiteboard-based discussions may find the audio-only transcript misses critical context that a human note-taker would capture. For professionals in fields where meeting confidentiality is paramount, the cloud-based nature of transcription requires careful consideration of your organization’s data policies.

Who Might Want to Look Elsewhere?

Privacy-sensitive industries like healthcare, legal, or finance should proceed with caution. While Otter.ai offers security features, the requirement to process audio through its servers may not meet the stringent compliance standards (like HIPAA) some organizations require. In these cases, a self-hosted solution or a tool with on-premise options might be necessary. Similarly, individuals or small teams with tight budgets might find the free Basic plan sufficient for occasional use, but the need for higher transcription limits or advanced features like OtterPilot quickly moves them to paid tiers. If your primary need is a single, all-in-one workspace that combines notes, databases, and AI-assisted writing (like Notion AI), Otter.ai’s specialized focus on meetings might feel too narrow.

Users who demand near-perfect, unedited transcripts for legal or compliance purposes should also consider alternatives. Otter.ai’s performance, while strong in ideal conditions, can falter with poor audio, strong accents, or crosstalk, meaning a human review is often necessary. If you need 100% accuracy without any editing, a service that combines AI with human review might be a better fit, albeit at a higher cost. Ultimately, Otter.ai is a specialist tool for meeting efficiency, not a general-purpose AI assistant. If your workflow centers less on meetings and more on creative writing, data analysis, or project management outside of calls, you may find more value in a broader platform.

The Verdict: Is Otter.ai Right for Your Team?

To determine if Otter.ai fits your workflow, consider your team’s meeting volume and follow-up process. Ask yourself:

• How many hours per week are spent manually taking notes or summarizing meetings?
• Do team members frequently miss action items or lose track of decisions?
• Is your primary pain point capturing information, or is it analyzing and acting on it?

If the answer points to a need for better capture and recall, Otter.ai is a strong contender. It’s particularly powerful for distributed teams where ensuring everyone has the same information is a challenge. The ability to search past conversations for specific details or questions is a game-changer for ongoing projects. However, if your meetings are low-stakes or infrequent, the investment in a paid plan may not yield a clear return. The tool’s greatest strength is its automation of the meeting record, creating a centralized, searchable knowledge base from your conversations. For teams that live in meetings, this can be a transformative asset, but it’s important to align expectations with its capabilities as an assistive technology, not a flawless autonomous system.

Final Verdict

Is Otter.ai the Right Meeting Assistant for You?

Otter.ai stands out as a powerful, specialized tool that excels at its core mission: automating the capture and organization of meeting conversations. For teams drowning in meetings, it acts as a reliable digital scribe, freeing participants to engage fully rather than split their attention between listening and typing. Its strengths in real-time transcription, searchable archives, and automated action item suggestions provide a tangible productivity boost, particularly for distributed teams needing a single source of truth for discussions. The platform is most effective when viewed as a force multiplier for human effort—it handles the heavy lifting of documentation, but still benefits from human oversight for nuance and accuracy.

However, Otter.ai is not a flawless, hands-off solution. Its performance is intrinsically tied to audio quality, meaning background noise, heavy accents, or overlapping speakers can reduce transcription accuracy. While features like OtterPilot for Sales offer specialized value for revenue teams, the tool’s broader action item extraction often requires a human touch for proper assignment and context. For users in highly regulated industries like healthcare or finance, the cloud-based processing model may raise compliance questions. Ultimately, its value is clearest for those who prioritize meeting efficiency and recall over absolute, unedited transcript perfection.

Who Should Use Otter.ai (And Who Shouldn’t)

Otter.ai is an excellent fit for:

• Sales and revenue teams who can leverage OtterPilot to automate BANT data extraction and streamline CRM updates.
• Project managers and team leads who need to ensure accountability and clarity on action items across multiple meetings.
• Remote or hybrid teams where capturing and sharing meeting context is critical for alignment.
• Individuals who attend frequent meetings and want to reduce manual note-taking, allowing them to be more present in conversations.

You might want to consider alternatives if:

• Your meetings are infrequent, low-stakes, or primarily for casual conversation, making a paid plan hard to justify.
• You require human-level transcription accuracy for legal, compliance, or archival purposes without manual review.
• Your primary need is a general-purpose AI assistant for writing and knowledge management, rather than a dedicated meeting tool.
• Your budget is extremely tight and the free Basic plan’s limits (300 monthly minutes) are insufficient.

The Bottom Line: A Strategic Choice for Meeting-Heavy Workflows

Otter.ai earns a strong recommendation for its target audience—professionals and teams whose productivity is directly impacted by meetings. It successfully automates the tedious aspects of meeting documentation, creating a searchable knowledge base from conversations. The platform delivers on its promise to reduce manual effort, though it should be implemented with the understanding that it is an assistive tool, not a replacement for critical thinking and human review.

Final Recommendation: If your work involves frequent meetings where capturing details and action items is a priority, Otter.ai is a worthwhile investment. Start with the free Basic plan to test its core transcription and note-taking capabilities. If your needs grow, the Pro or Business tiers offer significant value for teams requiring higher limits and advanced features like OtterPilot. For those with sporadic meeting needs or in highly regulated fields, the free tier or an alternative solution may be more appropriate. Choose Otter.ai to enhance your meeting productivity, not to replace human engagement entirely.

Frequently Asked Questions

What does Otter.ai do?

Otter.ai is an AI-powered meeting assistant that automatically joins, records, and transcribes meetings from platforms like Zoom, Microsoft Teams, and Google Meet. It provides real-time live notes, generates summaries, and extracts action items, which can be automatically assigned to team members. The tool also allows you to search past conversations and ask questions to the meeting recording for quick recall of key details.

Is Otter.ai good for sales teams?

Yes, Otter.ai offers a specialized feature called OtterPilot for Sales. This tool is designed to automatically extract key sales intelligence from meetings, such as BANT (Budget, Authority, Need, Timeline) information. It helps sales teams capture critical details without manual note-taking, allowing them to focus on the conversation and follow up more effectively with actionable insights.

How much does Otter.ai cost?

Otter.ai offers a free plan with a monthly transcription limit, which is suitable for individuals or very small teams. Paid plans, such as Pro and Business, provide higher transcription limits, more users, and advanced features like OtterPilot for Sales, custom vocabulary, and team collaboration tools. Pricing is typically subscription-based, and you should check their official website for the most current plans and pricing details.

Can Otter.ai transcribe meetings in real-time?

Yes, one of Otter.ai’s core features is real-time transcription. As the meeting occurs, Otter.ai provides live notes, allowing participants to see the conversation as it happens. This is particularly useful for ensuring everyone is on the same page during the meeting and for those who may have missed part of the discussion. The transcription accuracy is generally high for clear audio.

Who should use Otter.ai?

Otter.ai is ideal for professionals and teams who conduct frequent meetings, such as project managers, sales teams, HR professionals, journalists, and educators. It’s particularly valuable for remote or hybrid teams that rely on platforms like Zoom or Teams, and for anyone who needs to search past meetings for specific information or automate the creation of meeting summaries and action items.