The best Fireflies AI alternative for
multimodal team context.
Fireflies is a well-loved meeting notetaker: a bot joins your calls, transcribes them, and syncs notes to your CRM. Speak AI goes further, with audio analysis for tone of voice and emotion in voice, video analysis that reads body language and what’s on screen, call scoring against your playbooks, and file uploads beyond meetings. Here is an honest comparison.
Sara K.
Devin M.00:19 / 41:02
Why teams outgrow Fireflies.ai
Fireflies is an excellent, widely loved meeting notetaker. It transcribes calls accurately, summarizes them, and syncs to your CRM. It was not built to score tone of voice, read a screen, or unify meetings with uploaded research and past recordings in one context engine. Here is the direct comparison, current as of August 2026.
| Feature | Speak AI | Fireflies.ai |
|---|---|---|
| Audio analysis (tone of voice, emotion, energy) | Yes, on Scale plans | No. Sentiment is scored from the text transcript only, not vocal tone |
| Video analysis (reads what’s on screen) | Yes, on Scale plans (reads slides and screens) | No. Screen is recorded for human replay on Pro+ plans, not read by AI |
| File upload (audio/video beyond meetings) | Yes, any length, routed across multiple engines | Yes (mp3, m4a, wav, mp4), counts toward plan minutes |
| Embeddable recorder for participants | Yes | No, meeting bot or manual upload only |
| Call scoring against custom playbooks | Yes, using transcript, tone, and screen signals together | Yes, via Sales Coach/Scorecard skills, text-based only |
| NLP analytics across your library | Yes, every file type, not only meetings | Team Analytics on Business+ plans, meeting-scoped |
| Multi-engine transcription | Multiple engines, routed per file | Single engine, ~95% accuracy claimed |
| AI chat across all recordings | Yes (Claude, GPT, Gemini) | AskFred searches transcripts, single engine |
| White-label / custom branding | Yes | No |
| Languages supported | 100+ | 100+ (transcription; analytics English-centric) |
| MCP tools for Claude, ChatGPT, Cursor | 100+ tools across transcript, audio & screen data | Transcript & summary retrieval only |
| API access | All plans | All plans, including Free |
| AI voice agents | Yes | No |
| Pay-as-you-go, credits-based pricing | Yes | No, per-seat subscription only (Free tier exists) |
| G2 rating | 4.9/5 | 4.7/5 (746 reviews) |
A transcript alone was never the whole conversation.
Fireflies gives you words on a page plus a text sentiment label. Speak AI reads the words, the tone of voice, and the screen together, then keeps all three searchable in one system of record.
Tone of voice and emotion in voice
Speak AI scores how a call actually sounded, beyond what the transcript says. Fireflies’ sentiment analysis is computed from the text transcript only, not vocal tone, pitch, or pacing.
Body language and what’s on screen
When a screen is shared, Speak AI reads what was on it, slides, dashboards, a competitor’s site, and ties it to the moment in the transcript. Fireflies can record the screen for replay, but does not run AI analysis on what appears there.
Graded against your playbook with real signal
Speak AI scores calls against custom rubrics using the transcript, the tone of voice, and the screen content together. Fireflies’ Sales Coach skill scores from the text transcript alone.
Meetings, uploads, and research interviews together
Speak AI ingests live meetings, uploaded recordings, embeddable recorder sessions, and voice agent calls, so qualitative research and sales calls sit in the same library, not five separate meeting logs.
Trends across your whole library
Keywords, sentiment, entities, and topics are tracked across every file type in your account, not only scheduled meetings, so patterns show up as a report instead of a hunch.
One system your other tools can query
Every transcript, audio signal, and screen read builds a context engine your team’s custom applications draw on, through the API, webhooks, or the MCP server.
Fireflies AI vs Speak AI: what each tool is actually built for
Fireflies and Speak AI solve different problems for different buyers. Here is the honest breakdown, including where Fireflies genuinely wins.
What Fireflies AI does well
Fireflies is a genuinely popular, well-built meeting assistant. It joins Zoom, Google Meet, and Microsoft Teams calls automatically, transcribes with strong accuracy, and syncs notes and action items straight into HubSpot, Salesforce, Slack, and 20+ other tools. AskFred, its built-in AI search, answers natural-language questions across your meeting history with speaker attribution and timestamps, and its Sales Coach and topic-tracker skills give reps real, text-based feedback after every call. At 4.7/5 across 746 G2 reviews, it has earned its reputation as one of the best meeting notetakers on the market, and it now ships an MCP connector for Claude and ChatGPT, the first meeting tool listed in Claude’s Connectors directory. For a team that mostly runs live meetings and wants deep CRM sync, that is a legitimate reason to like it.
Where a transcript stops being enough
A transcript and a text-based sentiment label tell you what was said and whether it read as positive or negative. Neither tells you that a prospect’s voice tightened when price came up, or that they pulled up a competitor’s pricing page mid-call. Speak AI’s audio analysis reads tone of voice and emotion in voice, while its video analysis reads body language and what’s on screen, so a call-scoring rubric or a coaching workflow has real signal to grade against, instead of a paragraph of notes. This is multimodal analysis: the words, the tone of voice, and the body language on screen together give a team the full context a transcript alone cannot capture.
Built for unified capture, beyond scheduled meetings
Fireflies is built around a meeting bot: it joins a call, transcribes it, and files the result, with uploads of existing recordings supported as a secondary path. Speak AI is unified capture across a meeting bot, an embeddable recorder, a mobile app, file uploads of any length, and voice agents, all landing in one searchable system of record. Research teams coding qualitative interviews, sales teams scoring calls, and support teams reviewing tickets all draw on the same context instead of a meetings-only inbox.
Custom applications on top of the context
Because Speak AI keeps transcript, audio signal, and screen content together, teams build custom applications on top of it: dashboards, scoring rubrics, research coding, and AI voice agents, through the API or the MCP server. Fireflies’ MCP connector currently covers transcript and summary retrieval; Speak AI’s 100+ tools work inside Claude, ChatGPT, and Cursor, and include the audio and screen signals a transcript alone leaves out.
What a unified context library looks like in practice.
A national sports federation needed more than per-meeting notes from its athlete and coach interviews.
“Speak AI helped us process hours of recorded athlete and coach interviews in multiple languages. We could finally identify themes and sentiment patterns across all our qualitative data in a fraction of the time.”
The federation was running multilingual athlete and coach interviews, plus a backlog of previously recorded field sessions, and needed one library that covered both live calls and archived files. A meeting-first tool like Fireflies could handle the live calls, but the archived recordings and cross-library sentiment tracking needed a broader platform. Speak AI handled all of it: uploading existing recordings, running NLP analytics across languages, and delivering a shared dashboard that saved the research team weeks of manual analysis.
Bring your context into Claude, ChatGPT, and Cursor.
Fireflies added an MCP connector for transcript and summary retrieval, the first meeting tool listed in Claude’s Connectors directory. Speak AI’s MCP server gives any assistant 100+ tools to search, analyze, and act on your full knowledge base, transcript, audio signals, and screen reads included, in about 60 seconds. No terminal, no npm, no config, backed by a full developer API.
Which one is right for you?
Both are good products. They are built for different jobs.
Choose Fireflies if you…
- Mainly run live meetings on Zoom, Meet, or Teams and want a bot that joins automatically
- Want deep CRM sync into HubSpot or Salesforce out of the box
- Are happy with text-based sentiment and topic tracking, not audio or screen analysis
- Want AskFred’s natural-language search across your meeting history
- Don’t need to unify meetings with uploaded research or past recordings
Choose Speak AI if you…
- Need audio analysis (tone of voice, emotion in voice) and video analysis (body language, what’s on screen)
- Want call scoring against your own playbook, using tone and screen signals beyond text
- Need to unify live meetings, uploaded files, and voice agent calls in one system of record
- Want NLP analytics and trends across your whole library, any file type
- Need multi-engine transcription and multi-model AI chat across every recording
- Want MCP access from Claude, ChatGPT, and Cursor with more than transcript retrieval
- Prefer credits-based, pay-as-you-go pricing over per-seat subscriptions
Pricing comparison
Speak AI is credits-based and starts free to evaluate. Fireflies is per-seat subscription pricing, as of August 2026.
Speak AI
- Pay as you go: transcription and AI chat, credits-based
- Individual plan with transcription, storage, AI chat, and analysis included
- Team plan with shared libraries, collaboration, and priority support
- Enterprise: custom SSO, data controls, white-label, custom agents
- Free trial, more credits with a work email
Fireflies.ai
- Free: $0/month, 400 minutes of storage per team, no video recording
- Pro: $10/user/month billed annually ($18 month-to-month)
- Business: $19/user/month billed annually ($29 month-to-month), most popular
- Enterprise: $39/user/month, annual billing, HIPAA and SSO
- No pay-as-you-go option; 4.7/5 on G2 (Speak AI: 4.9/5)
Teams build on Speak AI.
Real feedback from teams using Speak AI for research, transcription, meetings, and client work.
Frequently asked questions
Common questions when comparing Speak AI and Fireflies.ai.
Yes, especially once you need more than a meeting transcript and a text sentiment label. Speak AI adds audio analysis, video analysis, call scoring against custom playbooks, file uploads beyond meetings, and NLP analytics across your full library. If you mainly run live meetings and want a bot with strong CRM sync, Fireflies is excellent. If you need audio, video, and multi-source context in one system, Speak AI is the stronger fit.
Yes. Fireflies is an established platform with 4.7/5 across 746 G2 reviews, SOC 2 practices, and HIPAA compliance on its Enterprise plan. It is a trustworthy, widely used meeting notetaker. The categorical difference is scope, not trust: it does not analyze audio tone or screen content the way Speak AI does.
For teams that mainly need accurate meeting transcripts, summaries, and CRM sync, yes, Fireflies is a strong, well-reviewed choice. For teams that need audio analysis, video analysis, call scoring against a playbook, or one library spanning meetings and uploaded research, Speak AI covers more ground.
As of August 2026, Fireflies has a free tier, Pro at $10/user/month billed annually ($18 month-to-month), Business at $19/user/month billed annually ($29 month-to-month), and Enterprise at $39/user/month on annual billing. There is no pay-as-you-go option. Speak AI offers credits-based, pay-as-you-go pricing plus Individual, Team, and Enterprise plans.
There is a free tier, but it is limited: 400 minutes of shared team storage, no video recording, no transcript downloads, and no multi-language mode. Most teams outgrow the free tier once meeting volume or feature needs increase.
No. Fireflies’ sentiment analysis is calculated from the text transcript only, not tone, pitch, or cadence, and its screen recording is for human replay, not AI analysis of what appears on screen. Speak AI’s audio analysis reads tone of voice and emotion in voice, and its video analysis reads body language and what’s on screen, tied to the transcript.
Yes. Fireflies was the first meeting tool listed in Claude’s Connectors directory, and its MCP connector covers transcript and summary retrieval. Speak AI’s MCP server goes further with 100+ tools spanning transcripts, audio signals, and screen reads, for Claude, ChatGPT, Cursor, and more.
Speak AI. Fireflies is built around live meetings; Speak AI unifies meetings, uploaded recordings, embeddable recorder sessions, and voice agent calls in one system of record, with audio analysis, video analysis, and call scoring against custom playbooks layered on top.
Start with Speak AI.
Team meeting notes, audio analysis, video analysis, call scoring against your playbooks, file uploads beyond meetings, and multi-engine transcription, in one shared system of record. Book a free consult and see it on your own recording.
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