
Otter and Fireflies started as tools for recording and transcribing meetings. Both products now extend into meeting summaries, conversation intelligence, CRM updates, and AI workflows.
The overlap can make the buying decision difficult. Differences become clearer when you compare how the products capture meetings, what they generate after a call, and how they use meeting data across a team.
This Otter vs Fireflies guide covers the differences and explains where each performs differently and falls short.
Disclosure: Avoma competes with Otter and Fireflies in the meeting intelligence and conversation intelligence category. Both tools surface in our sales conversations during prospect evaluation, where they are switching from or comparing Avoma.
We have compared both products across categories including AI notetaking, pricing, security, and more. For areas where Avoma falls short of certain features or functionalities, we have mentioned them explicitly.The goal is to help you evaluate the best AI meeting assistant suitable for your team.
Both auto-join Zoom, Google Meet, and Microsoft Teams and show a live transcript during the call. Fireflies also joins Webex and other platforms. Its Live Assist panel adds structured notes and AI-suggested talking points during the call, across web, mobile, the Chrome extension, and its desktop app. Otter's live view stays simpler: a transcript, without that layer.
Both record in-person conversations through a mobile app, no bot. Voice interaction differs: Fireflies' Talk to Fireflies works by default. Otter AI Chat's voice feature for Zoom calls rolls out on request through Otter support.
Otter's help documentation confirms transcription in 6 languages: English, Spanish, French, German, Japanese, and Chinese. Fireflies claims support for 100+ languages, and its Multi-Language Mode transcribes 60+ languages within a single meeting, including mid-sentence switches, on Business and Enterprise plans. Otter has no equivalent to Multi-Language Mode.
Neither vendor publishes an independent accuracy or word-error-rate benchmark, so this comparison does not rank the two on transcription quality.
Otter offers Highlights to mark key moments during or after a call, a Highlight Summary that stitches those into a text and audio recap, and a Snippet feature to share one section of a transcript. Fireflies offers Soundbites: short clips created by hand, generated through AI ("Magic Soundbites"), or pulled from meeting markers.
Otter leans on text and audio recaps. Fireflies leans on clip creation.
Both lets users ask questions about meetings with Otter AI Chat and Fireflies AskFred. Fireflies also has Global AskFred, which searches a user's full meeting history with an optional web-search toggle. Otter has no equivalent cross-meeting search feature.
Otter's AI Chat with voice depends on feature rollout. Fireflies' AI Skills and Voice Agents draw from the plan's monthly AI credit allotment: 20 credits on Free and Pro, 30 on Business, 50 on Enterprise.
Fireflies documents talk-to-listen ratio, filler words, longest monologue, sentiment, and topic tracking as native conversation intelligence features. Its coaching-style capabilities, a BANT Sales App, an Objection Handler, and a Sales Coach skill live in the AI Skills Store, a marketplace of 200+ add-on apps metered by AI credits rather than built into the core product as an unlimited feature.
Otter's pricing page references coaching scorecards and a Deal View on its Business plan, but its help documentation does not provide a specification for either. Treat both as features to confirm directly with Otter before a purchase decision.
The distinction that matters for a buyer: a native, always-on feature works the same way month after month regardless of usage. A credit-metered AI Skill or an undocumented mention on the pricing page does not carry the same guarantee.
Otter connects to HubSpot automatically under specific conditions tied to a calendar event with an external guest, and to Salesforce through its separate Sales Agent product, with a manual HubSpot export as a fallback.
Fireflies integrates directly with Salesforce and HubSpot and documents an Autofill CRM capability that maps meeting data, including custom fields, to the connected CRM record. This sync flows from the meeting into the CRM. Neither vendor's documentation describes a feature that pulls existing CRM record data back into the meeting tool for context during a call.
Both products now offer an MCP (Model Context Protocol) connector for Claude. Fireflies also documents a ChatGPT connector through the same protocol. This is no longer a point of difference between the two; it is a shared capability as of this review.
Otter's Business and Enterprise plans allow unlimited in-app meeting and recording minutes. A separate 6,000-minute-per-user cap applies only to imported audio or video files, not to live meetings, according to Otter's own pricing page.
Fireflies gates deeper AI Skills and Voice Agent usage behind a fixed monthly credit allotment, so a team that runs many AI Skills against its meetings should plan for the chance of needing to purchase additional credits mid-cycle.
Both hold SOC 2 Type II certification. HIPAA, SSO, and SCIM are available only on Otter's Enterprise plan and are priced via a custom quote. Fireflies opens all three on Business ($19/seat/month annual), one tier lower.
On AI training data, Otter trains on de-identified audio and transcripts by default, with an Enterprise opt-out. Fireflies states a Zero Data Retention policy for its own AI training, though that guarantee doesn't extend to third-party connectors like Claude or ChatGPT once a user connects them.
Best fit for accessible security controls: Fireflies, at Business tier and up. Otter reserves HIPAA, SSO, and SCIM for Enterprise.
Otter's free tier includes 300 minutes per month, enough for a solo user or a small team to test the product before paying. Fireflies' free tier covers less recording time but includes API access and a one-time set of AI credits from the start. For a team on Zoom, Meet, or Teams that wants simple transcription without a learning curve, Otter offers a faster setup.
Fireflies offers a wider language list for general transcription and a same-meeting, multi-language detection mode not available on Otter, since Otter's language list stays at 6. A team that holds regular calls in several languages and a single meeting receives stronger support from Fireflies.
Otter's Sales Agent and SDR Agent apply AI to specific sales workflows, though its coaching scorecards and Deal View lack a public specification. Fireflies' AI Skills Store adds named coaching apps on a shared credit pool, not as native features. Ask either vendor to demonstrate scorecard mechanics before assuming a fit with your sales methodology.
Fireflies opens HIPAA, SSO, and SCIM at the Business tier; Otter reserves all three for Enterprise. Fireflies' Enterprise plan adds a Rules Engine and a Super Admin role that can override meeting privacy settings workspace-wide. Otter's Enterprise plan adds domain capture and a custom CRM and dialer integration. Compare these admin controls against your internal security checklist, as two vendors structure them differently.
Otter and Fireflies capture, transcribe, and summarize a call. Neither turns that call into a CRM update, a coaching review, or a forecast input for a full team.
A transcription tool converts spoken audio into text with speaker labels. A meeting assistant does that plus adds features like AI summaries, action items, collaboration, integrations, and in advanced platforms, conversation or revenue intelligence.
Yes. Fireflies supports transcription and summaries in 100+ languages. Otter supports transcription in English, French, and Spanish, with summaries available in English.
Yes. Both provide live transcription during meetings. Fireflies also supports post-meeting transcription of uploaded audio or video files.
Accuracy varies by accent, background noise, and meeting conditions. Many users note Fireflies performs better with diverse speakers, while Otter is strong for English-centric use cases. Both may struggle with heavy overlap or jargon.
Otter is well-suited for individuals or small teams who need affordable transcription with light AI features. Fireflies offers more for teams — summaries, searchable transcripts, multi-language support, and integrations with Slack, ClickUp, and CRMs.
Otter’s paid plans start at $8.33/user/month (Pro) and scale to $20/user/month (Business), with custom Enterprise pricing. Fireflies’ paid plans start at $10/seat/month and scale to $39/seat/month for Enterprise. Both also have free forever plans.
No. Fireflies markets “conversation intelligence” (talk-time analytics, sentiment, topic detection), but neither offers full conversation intelligence or revenue intelligence such as coaching scorecards, deal risk, or churn signals.
Both scale for higher volumes of transcription, but plateau when organizations need deeper value like structured notes, two-way CRM sync, coaching insights, or pipeline intelligence. Avoma is designed to scale in both volume and depth.
Avoma combines meeting capture with Instant Notes, Custom AI Notes & Topics, conversation intelligence, and revenue intelligence. It ties meetings directly to business outcomes with coaching recommendations, deal insights, and pipeline visibility.
Choose Otter for simple, affordable transcription. Choose Fireflies if you want team-friendly transcripts, summaries, and broad integrations. Choose Avoma if you need a platform that goes beyond capture — delivering structured notes, coaching insights, and revenue intelligence that scales across teams.


