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Fireflies.ai fireflies.ai

Can AI replace Fireflies.ai?

The summarizer is easy; the meeting bot, calendar routing, integrations, team search, and admin layer make it more than a one-prompt clone.

Verdict: Half-bot · AI gets you partway; the hard part stays hardBuild time: multi-day
Half-bot

01What it costs

$18/moPro, monthly per seat
$216per year at that price

Checked Aug 14, 2026 · source: fireflies.ai.

PlanMonthlyBilled yearlyWhat you get
FreeFreeFreeUnlimited transcription and AI summaries; 400 storage minutes per team; 20 one-time AI credits per team.
Pro$18$10/moUnlimited transcription and AI summaries; 8,000 storage minutes per seat; 20 one-time AI credits per team.
Business$29$19/moUnlimited transcription, AI summaries, and storage; 30 one-time AI credits per team.
Enterprise—$39/moUnlimited transcription, AI summaries, and storage; 50 one-time AI credits per team.
AI Credits 50$5—50 purchased AI credits per month, shared by the team.
AI Credits 200$20—200 purchased AI credits per month, shared by the team.
AI Credits 1,000$90—1,000 purchased AI credits per month, shared by the team.
AI Credits 2,500$200—2,500 purchased AI credits per month, shared by the team.
AI Credits 5,000$375—5,000 purchased AI credits per month, shared by the team.
AI Credits 7,500$450—7,500 purchased AI credits per month, shared by the team.
AI Credits 10,000$600—10,000 purchased AI credits per month, shared by the team.

Hidden costs: Included AI credits are one-time and shared across the entire team. When a paid team runs out, Fireflies automatically starts the lowest $5/50-credit monthly add-on unless disabled; purchased credits expire at each billing cycle.

02Could AI build it for you?

The core job: Create a recorder/bot, capture call audio, transcribe, generate summaries/action items, store transcripts, and add keyword search.

What a working version needs:

  • speech API
  • calendar API
  • Zoom/Meet/Teams capture route
  • hosted backend
  • database/search

Useful contrast with Granola: same AI primitive, harder product surface.

03What you'd give up

  • native meeting bot reliability
  • integrations with CRM/project tools
  • team permissions
  • shared topic tracking
  • compliance controls

They pay because the bot reliably appears, captures, files, and shares notes across the whole team.

04Free and cheaper alternatives

Fathomfree

Unlimited recording, transcription, basic summaries, clips and search for one person; the revenue-team machinery remains paid.

Versus paying: The free plan is individual-first and lacks Fireflies' richer team analytics, CRM workflow automation and broad cross-meeting collaboration.

fathom.ai →
OpenWhispropen-source

One installer records meetings without a bot, labels speakers, summarizes them and keeps the archive searchable.

Versus paying: It lacks Fireflies' mature managed bot and team analytics, while reliable capture depends on desktop audio permissions and routing.

openwhispr.com →
Speakropen-source

A polished self-hosted call archive with transcription, summaries, search and chat; zero subscription, nonzero server.

Versus paying: It has no managed calendar bot or automatic conferencing integrations; capture, uptime and every external integration are yours to operate.

murtaza-nasir.github.io →

05The build prompt

Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version.

prompt.txt
Build me a searchable call transcript archive to replace Fireflies.ai. Requirements:

- A Node pipeline plus a local web app (Express + better-sqlite3, localhost).
- Ingest: watch ~/Recordings/ with chokidar, or `calls add <file>`. Transcribe
  locally with whisper.cpp, or Deepgram/OpenAI Whisper if a key is in .env.
- Summarize each call with an LLM (key in .env): overview, action items with
  owners, questions asked, next steps. Store summary and full transcript in
  SQLite.
- Search page: FTS5 keyword search across every transcript ever, results show
  matching lines with timestamps and link into the full transcript.
- Topic tracker: topics.json holds keywords (competitor names, pricing, churn);
  a page lists every call where each topic came up, newest first.
- Export any call to Markdown in ~/Calls/notes/YYYY-MM-DD-<name>.md.
- No accounts, no telemetry; audio stays local unless I opt into a hosted API.
- Out of scope: a bot that joins Zoom/Meet/Teams, calendar routing, CRM sync,
  and team sharing. I supply the recordings myself.
- README: dependencies, optional keys, and how to record call audio on my OS.

06Open-source starting points

  • whisper.cpp: Provides the commodity transcription layer; the SaaS moat is the meeting/integration layer
Sponsor slot · openFeatured alternative to Fireflies.ai. A labeled card for one relevant tool.
Book this spot →

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App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.