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Fireflies.ai vs Hedy AI

Fireflies.ai and Hedy AI are both meeting assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Fireflies.ai

Fireflies.ai

Fireflies joins meetings automatically as a bot participant, transcribes audio in real time, and generates summaries organized around topics, action items, and speaker breakdowns. The search layer is where it earns its place on sales and distributed teams: you can query across every recorded call in the workspace, not just the last one. The ceiling appears in compliance-heavy environments — Fireflies is cloud-only, so organizations with data residency mandates or on-premise requirements have no self-hosting path. Teams that hit that wall move to vendors with on-premise deployment options. For everyone else, the API lets you pull transcripts and metadata into your CRM or data warehouse.

Hedy AI

Hedy AI

Hedy listens to meetings in real time and pushes coached suggestions — follow-up questions, talking points, smart replies — directly to your screen as the conversation unfolds. It retains context across sessions, so when you walk into the twelfth call with Acme Corp it already knows the history. Notes, key decisions, and action items are captured without you lifting a pen. On-device audio processing is the privacy story: your audio never reaches the cloud, though transcripts are processed transiently. The ceiling appears when you need the tool to act on what it hears — it coaches, it does not execute.

AttributeFireflies.aiHedy AI
PricingPaidPaid
Price$10/mo$99.99/year
Free trialNoNo
Open sourceNoNo
Has APIYesYes
Self-hosted optionNoNo
PlatformsWeb, Chrome Extension, Desktop App (Windows/Mac), Mobile App (iOS/Android)iOS, Android, macOS, Windows, Apple Watch, Web
Released2024-06
Pros
  • Automatic bot-join across major conferencing platforms, so no one on the team manually starts a recording or remembers to take notes — missed action items from unrecorded calls drop to near zero.
  • Full-text search across the entire call library, which means a sales rep can pull up every time a specific competitor was mentioned across six months of calls instead of asking colleagues to dig through their memories.
  • Speaker-attributed transcripts with talk-time analytics, so managers can see participation imbalances and conversation patterns across the team without sitting in on every call.
  • Structured action-item extraction in the summary, so the post-meeting document is organized around what needs to happen next rather than requiring someone to manually distill an hour of conversation.
  • API access for pulling transcripts and metadata into external systems, so conversation data reaches your CRM or data warehouse without a manual export step that nobody remembers to do.
  • Live in-meeting coaching suggestions delivered as the conversation unfolds, so you get the sharp follow-up question when it can change the outcome — not in a recap you read an hour later.
  • Cross-session memory organized by client or topic, which means you walk into a recurring meeting already briefed on prior decisions and open questions without manually reviewing old notes.
  • On-device audio processing with transient cloud transcript handling, so the vendor's privacy claim holds up under scrutiny for teams that cannot let conversation audio sit on a third-party server.
  • 30-plus language support with a custom vocabulary option, so non-native speakers and domain-specific teams — medical, legal, technical — get suggestions in context rather than generic filler.
  • Automatic extraction of action items, key decisions, and highlights after each session, so the post-meeting admin work that typically falls through the cracks is done before you close the call.
Cons
  • Cloud-only architecture means every call recording and transcript lives in Fireflies' infrastructure — teams under HIPAA, GDPR data residency requirements, or internal policies requiring on-premise storage hit an absolute wall and must evaluate self-hostable competitors instead.
  • The bot joining as a visible participant changes call dynamics with some customers or candidates who object to AI recording; there is no silent background capture option, so teams working with recording-averse contacts need an explicit opt-in conversation before every call.
  • Advanced analytics and longer transcript retention are paid-only features, which means the free tier works as a proof of concept but sales teams needing historical search depth beyond the storage cap will hit that limit quickly and face an upgrade decision before they have fully evaluated fit.
  • Hedy coaches; it does not act. When a sales team wants a completed client call to automatically log notes to a CRM or create a follow-up task in their project tracker, the Zapier integration requires a human to trigger it — teams with high call volume end up building that automation layer themselves or abandoning Hedy for a tool that closes the loop without manual intervention.
  • The five-hour monthly ceiling on the free tier hits fast for anyone using Hedy daily across back-to-back meetings — a full workday of calls can consume a week's allocation, forcing an upgrade decision earlier than expected.
  • Hedy is not self-hosted, and while the vendor offers EU data residency, organizations with strict data sovereignty requirements that prohibit any cloud transcript processing — even transient — cannot use the tool in its current architecture.
Bottom line

Fireflies.ai and Hedy AI are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.