MeetGeek vs Otter vs Fireflies: The GDPR Verdict

All three tools will transcribe your sales call and write you a summary. On raw functionality they are closer than their marketing suggests. The real decision for a German-speaking team turns on one question the US-centric comparisons rarely lead with: where does the meeting data live, and what does that mean when your Datenschutzbeauftragter or works council asks? On that question, the three diverge sharply.

The one-paragraph verdict

For a GDPR-conscious EU team, MeetGeek's EU-based hosting makes it the cleanest default. Fireflies is the strongest pick if automatic CRM logging for a sales team is your priority, and it carries SOC 2 Type II certification, but it processes on US infrastructure. Otter is the most polished for live English transcription and has a usable free tier, but is also US-hosted. Functionality is close; data residency is the tie-breaker.

Side by side

Pricing and compliance details as published May 2026; all three change tiers and certifications regularly. Verify current specifics and the exact data-residency terms with each vendor — hosting location and contractual data-processing terms are not always the same thing.

The GDPR verdict in detail

Here is the distinction that the feature tables miss. SOC 2 Type II is a security certification; it is not the same as EU data residency. Otter and Fireflies both hold SOC 2 Type II, which tells you their security controls were audited — genuinely valuable. But SOC 2 says nothing about where your data is processed. Both process meeting data on US servers, which is what creates the GDPR cross-border transfer question for a German company under Article 44 and its successors.

MeetGeek's EU-based hosting addresses that specific question directly. For a German team, this is frequently the deciding factor: an EU-hosted tool clears a Datenschutz review with far less friction than a US-hosted one, regardless of how good the US tool's security certifications are. None of this removes your own obligations — lawful basis, consent, a Data Processing Agreement — but it removes the structural objection that stalls US tools in European procurement.

Where each one wins

MeetGeek — the EU-compliance pick

If data residency matters — and for most German teams it does — MeetGeek starts ahead. Add cross-meeting analytics and a low price, and it is the natural default for a DACH revenue team. Its relative weakness is CRM-logging depth versus Fireflies.

Fireflies — the sales-CRM pick

Fireflies' defining strength is automatic CRM logging: it connects to Salesforce, HubSpot and Pipedrive and writes call summaries, action items and transcripts to the right record without manual entry. For a sales team that lives in its CRM, that is the killer feature. The trade-off for a German team is US hosting, which reintroduces the transfer question.

Otter — the live-transcription pick

Otter is the most refined for real-time English transcription and live captions, with a long track record and a usable free tier. It is the weakest of the three on the European data question, and its free tier (around 300 minutes a month) is tight for heavy users.

Accuracy and language coverage — the question that decides everything else

A meeting tool that does not transcribe your meetings accurately is a meeting tool that does not solve your problem, regardless of how good its other features are. Accuracy is the foundation, and it varies more than vendors admit by language, accent, and call quality.

For English in clear US or UK accents, all three tools perform well — none has a meaningful accuracy advantage. The differences emerge in three places that matter for a European team:

• German transcription. All three support German but with different quality. The honest move is to test each on actual German calls before committing. Vendor demos are not representative.
• Accented English. A DACH team often has a mix of native German, Italian, Polish, Indian, and US English on the same calls. Tools degrade differently here. Fireflies has historically been strong on accented English; Otter tends to struggle with heavy accents; MeetGeek sits in between.
• Call quality. Phone-bridge audio is worse than direct Zoom audio. All three handle clean audio well; all three degrade on bad audio. There is no magic here.

If accuracy on your specific call mix matters more than any other factor — and for most sales teams it should — run the free trial on real calls before any other consideration. None of the comparison points below survives bad transcription.

CRM logging compared in detail

Fireflies' headline strength is automatic CRM logging, but "automatic CRM logging" hides a range of implementations. Worth being specific:

• Fireflies. Native integrations with Salesforce, HubSpot, Pipedrive and Zoho. Writes summaries, action items, transcripts and topic detection to the appropriate contact, account, deal, or opportunity record automatically based on attendee matching. The most complete native experience of the three.
• MeetGeek. Native HubSpot, Pipedrive, Salesforce integrations. Reliable summary logging; topic detection less native than Fireflies. Adequate for most sales teams; the advantage Fireflies has is real but smaller than the marketing suggests.
• Otter. CRM integration via Zapier and Otter's own integration platform. Functional but less seamless than the dedicated sales-CRM workflows of the other two. Otter is positioned more as a general productivity tool than a sales-specific one.

For a sales-led use case, the practical hierarchy is Fireflies first, MeetGeek close second, Otter third. For a mixed-use case where meeting notes are needed across sales, customer success, internal meetings, and recruiting — all three are viable and the residency question dominates.

Privacy posture beyond hosting location

Hosting location is the headline GDPR question but not the only one. Three other dimensions deserve scrutiny:

• Sub-processors. All three rely on third-party services — speech-to-text providers, cloud infrastructure, analytics tools. Each vendor publishes a sub-processor list; reading it tells you where data actually travels even when "hosting" is in one region.
• Retention defaults. Default retention periods vary, and changing them sometimes requires an enterprise plan. Confirm the default and the ability to set custom retention before committing.
• Training data use. Whether your meeting data is used to train the vendor's models is a question worth asking explicitly. Enterprise terms generally exclude this; consumer-tier terms sometimes do not. Read the privacy policy and the DPA, not the marketing page.

None of these makes a tool unusable; all three are reasonable diligence questions for procurement. A German enterprise will ask them; you should ask them in advance.

Feature comparison that matters once accuracy is acceptable

Assuming you have validated transcription accuracy on your own calls, the secondary feature differences become decisive. The detail worth knowing:

Speaker identification. All three identify speakers, but quality varies. Fireflies tends to be most accurate when callers introduce themselves; Otter relies more on voice fingerprinting; MeetGeek lands in between. For sales calls where speaker attribution matters (who said which objection, who committed to what action), this is worth checking.

Action-item extraction. The AI's ability to spot "I'll send that contract by Friday" and surface it as an action item with an owner and a date varies meaningfully across tools and across call types. Long discovery calls produce different action-extraction quality than tight pricing calls. Test on representative calls before committing.

Search across historic transcripts. All three offer search; the practical experience differs. The question to test: can you find "every call last quarter where a prospect mentioned competitor X" in under thirty seconds? If yes, the tool is doing its job. If you have to scroll through results, the tool has search but not usable search.

Native AI summarisation depth. Beyond transcripts, all three offer AI summaries — what was discussed, decisions made, next steps. The summaries vary in usefulness; Fireflies and MeetGeek tend to produce more actionable summaries for sales contexts than Otter, which leans toward general-purpose summaries.

The ROI question, honestly

A meeting tool's value depends entirely on whether someone uses the output. The honest framing of ROI for a sales team:

• Transcript value. Real but modest. Most reps do not re-read transcripts; they re-read summaries. Pure transcription is increasingly commoditised.
• Summary value. Meaningful. A summary that a busy rep can scan in thirty seconds and remember what was committed is genuinely valuable. The summary-quality gap between tools is therefore worth more than the transcript-quality gap.
• CRM logging value. Significant when it works. The hours saved from reps not manually logging call notes accumulates fast. This is where Fireflies' integration depth pays back.
• Analytics value. Highly variable. If a sales manager actively uses the analytics to coach reps, the value is large. If the dashboard sits unwatched, the analytics are a sunk cost.

The implication: choose the tool whose strongest features match what your team will actually use. A team that will use CRM logging heavily should pick Fireflies, residency caveat noted. A team that will use cross-meeting analytics should pick MeetGeek. A team that just wants clean transcripts and summaries for individual review can pick any of the three based on price and residency.

How to choose, for a DACH team

1. Will this face a Datenschutz or works-council review? If yes, EU hosting is close to non-negotiable — start with MeetGeek.
2. Is automatic CRM logging the point? If a sales team needs zero-touch logging and can clear the US-hosting review, Fireflies is strongest.
3. Do you mainly need polished live English captions? Otter, with the residency caveat noted.

The honest summary: these tools are functionally close, so let the constraint that actually blocks deployment decide. For a German-speaking team, that constraint is usually where the data lives — and that points to MeetGeek unless a specific CRM-logging need points elsewhere.