“Your AI note-taker is now also your Conversational Knowledge Engine”
Otter.ai is an AI meeting assistant that provides automatic transcription, meeting notes, summaries, action items, AI chat, and cross-meeting knowledge search. The tool integrates with Zoom, Microsoft Teams, Google Meet, and other platforms, turning conversations into searchable meeting data.
Otter.ai
Your AI notetaker is now also your Conversational Knowledge Engine
Location: USA ⓘ Otter.ai, Inc, 800 W El Camino Real, Suite 170, Mountain View, CA 94040, USA.
Business For medium-sized teams; includes unlimited meetings and in-app recordings, custom AI workflows, unlimited audio/video imports, longer meeting durations, admin features, activity logs, usage analytics, multiple simultaneous meeting joins, and prioritized support.
Enterprise For large teams and enterprises; includes Business features plus unlimited custom AI workflows, Otter Sales Notetaker, custom integrations, SSO, SCIM, domain capture, enterprise security controls, HIPAA add-on, API, webhooks, video replay, and the Customer Success Program. Other API / Webhooks Enterprise-grade integration options for connecting Otter to CRM, dialer, project, and enterprise systems.
MCP Server Otter provides an MCP Server for connecting external AI workflows; access and governance depend on the plan and admin settings.
Target Audience
Otter.ai is designed for teams, freelancers, sales organizations, project teams, consultants, HR teams, product teams, students, and companies that want to automatically transcribe, summarize, and make their meetings searchable. Otter.ai is particularly well-suited for organizations that hold a large number of online meetings, sales calls, interviews, customer conversations, and internal coordination sessions.
Key Features
Key features include live transcription, automatic meeting summaries, action items, AI chat, speaker recognition, meeting templates, meeting workflows, CRM integrations, Otter MCP Server, Sales Notetaker, API/webhooks, and enterprise administration. On higher-tier plans, Otter also supports activity logs, usage analytics, domain capture, SSO, and SCIM.
Key Use Cases
Otter.ai is primarily used for meeting minutes, sales calls, interviews, team meetings, project meetings, lectures, workshops, client meetings, and knowledge management. The tool helps convert unstructured conversation content into searchable text, summaries, tasks, and reusable knowledge.
Usage & Notes
Otter.ai can be used via the web, desktop app, mobile app, and meeting integrations. It is important that companies define a clear meeting bot policy before implementation: Who is allowed to record, how will participants be notified, which meetings are excluded, when will data be deleted, and how will exports be shared? Otter itself points out that users must comply with local laws, request consent, and notify participants of recording and transcription.
| Target audience | Assessment |
|---|---|
| Private individuals | Yes, with restrictions—suitable for lectures, interviews, notes, and in-person meetings; ensure legal consent from all parties involved. |
| Self-employed / Freelancers | Yes – suitable for client meetings, interviews, sales calls, project discussions, and follow-ups. |
| SMEs | Yes – useful for teams that want to automatically transcribe, summarize, and make Zoom, Google Meet, and Microsoft Teams meetings searchable. |
| Large enterprises | Yes, with Enterprise – suitable thanks to SSO, SCIM, domain capture, audit logging, admin controls, API/webhooks, and enterprise security features. |
| Sales / Customer Success | Very well suited – excels at sales notes, CRM sync, call analysis, follow-ups, and conversation intelligence. |
| Education / Research | Yes – suitable for lectures, interviews, lecture notes, and knowledge search; data protection and consent are important. |
| Data Protection-Critical Organizations | Conditional – DPA, SCCs, DPF, and subprocessor list are positive; US providers, AWS-USA, and training with de-identified data must be reviewed. |
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ❓ |
| Private cloud / data center | ❓ |
| EU SaaS / Managed | ❓ |
| Hybrid | ❓ |
| DPA / AVV | ✅ |
| No training on customer data | ⚠️ |
| Open source / transparency path | ⚠️ |
On-Prem / local hosting: indirect / not available
An on-premise, local, or self-hostable deployment is not specified on the website.
Private Cloud / data center: unclear
A dedicated private cloud or segregated EU/EEA data center option is not specified on the website. Cloud-based deployment and AWS are mentioned, but no private or regional special environment for the EU/EEA area.
EU SaaS / Managed: indirect / not available
There is a SaaS offering, but EU data residency or an EU/EEA data center is not specified on the website; instead, US hosting is mentioned.
Hybrid: unclear
A hybrid model with partially internal/local or private-cloud processing and partially external processing is not specified on the website.
AVV / DPA: covered
A DPA is included on the website as Appendix 1 of the Terms of Service and explicitly references the GDPR as well as its national implementations in the EEA.
No training: partial
For OpenAI and Anthropic, the subprocessors list states that customer data is not used for training or improving their models and is not stored. At the same time, the Terms allow the use of aggregated and/or de-identified data for machine learning and training; in addition, the Privacy Policy mentions explicit consent for manual review of certain audio recordings for training and product improvement purposes. Therefore, a general exclusion of training is not substantiated at the website level.
Open source / transparency path: partial
Open-source components or open models are not specified on the website. However, there is a limited transparency path through subprocessor documentation as well as export functions for conversations, audio, or takeaways.
Data processing
The website describes Otter as a cloud-based service. AWS is named as the core infrastructure, cloud service provider, and customer data storage platform in the USA. According to the subprocessors list, further processing takes place, among other things, via US providers for support, billing, integrations, and AI functionality. For AI Chat, it is stated that prompts and transcripts are only sent to external providers upon a user request and are not stored there; additionally, these third-party providers are said not to train on user data. However, for the EU/EEA area, the website lacks information on EU data residency, EU data centers, or regionally isolated data processing.
Conclusion
For a German-language tool directory focused on the entire EU/EEA area, Otter.ai is only conditionally suitable in terms of hosting and data protection. Positive aspects include the DPA, subprocessor transparency, and statements about the non-use of customer data for training by certain AI subcontractors. However, it is a significant drawback that the website mentions US hosting and numerous US subprocessors, while EU data residency, EU/EEA data centers, and sovereign hosting options are not specified on the website. Therefore, for sensitive or strictly regulated EU/EEA use cases, a more in-depth legal and organizational review would be required.
Sources
| On-prem / local hosting | ❓ |
| Private cloud / data center | ❓ |
| EU SaaS / Managed | ❓ |
| Hybrid | ❓ |
| DPA / AVV | ✅ |
| No training on customer data | ⚠️ |
| Open source / transparency path | ⚠️ |
On-Prem / local hosting: indirect / not available
An on-premise, local, or self-hostable deployment is not specified on the website.
Private Cloud / data center: unclear
A dedicated private cloud or segregated EU/EEA data center option is not specified on the website. Cloud-based deployment and AWS are mentioned, but no private or regional special environment for the EU/EEA area.
EU SaaS / Managed: indirect / not available
There is a SaaS offering, but EU data residency or an EU/EEA data center is not specified on the website; instead, US hosting is mentioned.
Hybrid: unclear
A hybrid model with partially internal/local or private-cloud processing and partially external processing is not specified on the website.
AVV / DPA: covered
A DPA is included on the website as Appendix 1 of the Terms of Service and explicitly references the GDPR as well as its national implementations in the EEA.
No training: partial
For OpenAI and Anthropic, the subprocessors list states that customer data is not used for training or improving their models and is not stored. At the same time, the Terms allow the use of aggregated and/or de-identified data for machine learning and training; in addition, the Privacy Policy mentions explicit consent for manual review of certain audio recordings for training and product improvement purposes. Therefore, a general exclusion of training is not substantiated at the website level.
Open source / transparency path: partial
Open-source components or open models are not specified on the website. However, there is a limited transparency path through subprocessor documentation as well as export functions for conversations, audio, or takeaways.
Data processing
The website describes Otter as a cloud-based service. AWS is named as the core infrastructure, cloud service provider, and customer data storage platform in the USA. According to the subprocessors list, further processing takes place, among other things, via US providers for support, billing, integrations, and AI functionality. For AI Chat, it is stated that prompts and transcripts are only sent to external providers upon a user request and are not stored there; additionally, these third-party providers are said not to train on user data. However, for the EU/EEA area, the website lacks information on EU data residency, EU data centers, or regionally isolated data processing.
Conclusion
For a German-language tool directory focused on the entire EU/EEA area, Otter.ai is only conditionally suitable in terms of hosting and data protection. Positive aspects include the DPA, subprocessor transparency, and statements about the non-use of customer data for training by certain AI subcontractors. However, it is a significant drawback that the website mentions US hosting and numerous US subprocessors, while EU data residency, EU/EEA data centers, and sovereign hosting options are not specified on the website. Therefore, for sensitive or strictly regulated EU/EEA use cases, a more in-depth legal and organizational review would be required.
Sources
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| - Very strong for automatic meeting transcription and summarization | - US provider with US sub-processors and AWS as central infrastructure sub-processor |
| - Supports Zoom, Microsoft Teams and Google Meet | - Otter trains proprietary AI on de-identified audio recordings and transcripts according to its own privacy policy; transcripts may contain personal data |
| - AI chat across single and multiple meetings | - Consent, transparency and legal basis must be clarified for meeting recordings |
| - Business and enterprise features for Teams | - No publicly secured EU server location found |
| - SOC 2 Type II and DPA/SCC rules publicly documented | - Only recommended for sensitive meetings, HR, medicine, legal advice or business secrets after a data protection check |
| - API/webhooks in the Enterprise plan |
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GDPR-compliant usage possible?
The website demonstrates that Otter.ai provides GDPR-relevant contractual documentation and explicitly addresses the GDPR in the DPA. For the EU/EEA region, however, use can only be assessed as conditionally GDPR-compliant, because the website identifies AWS in the US as core infrastructure and data storage, and several US subprocessors are also used. EU data residency, EU data centers, or an on-premise/self-hosting option are not specified on the website. A positive point is that a DPA is available and, for the listed AI service providers, it is explicitly stated that customer data is not used to train or improve their models and is not stored; at the same time, according to the Terms, Otter allows the use of aggregated and/or de-identified data for machine learning and training, so the overall situation for EU/EEA users appears viable only under additional reviews and conditions.
Positive
The website includes a DPA as an appendix to the Terms of Service, which explicitly mentions the GDPR and its national implementations in the EEA. There is a subprocessor list. For Anthropic and OpenAI, the website states that no customer data is used to train or improve their AI models and is not stored. In addition, Otter cites a SOC 2 Type 2 attestation and security policies based on the ISO 27001/2 framework.
Negative
The website identifies AWS as the cloud and customer data storage platform in the US; the Help Center also mentions AWS Region West, United States. The subprocessor list contains predominantly US providers. EU data residency, an EU/EEA data center, a dedicated EU environment, or self-hosting/on-premise operation are not specified on the website. In addition, the Terms permit the use of aggregated and/or de-identified data for business purposes including machine learning and training.
Server location
The website names Amazon Web Services located in the USA as the core infrastructure. The Help Center also states that Otter uses AWS services for data storage in the AWS Region West, United States. EU/EEA server locations or EU data residency are not specified on the website.