Daisy vs Gem

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionDaisyGem
PricingFree & open-sourcePaid (custom quote)
PlatformMac-only (Apple Silicon), local-firstWeb-based, all-in-one
AI/ML StrengthOn-device transcription, diarizationSourcing, screening, fraud detection
Target UserPrivacy-conscious individuals, developersTalent acquisition teams, 101-1,000+ employees
IntegrationsNotion, Linear, Obsidian, Claude DesktopWorkday, Greenhouse, Lever, etc.
Open SourceYes (GitHub)No
Daisy
Daisy

Daisy records meetings, dictates and keeps voice notes on your Mac — transcribed on-device, saved as Markdown you own.

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Gem
Gem

AI-first recruiting platform: sourcing, application review, CRM, ATS, scheduling, and fraud detection in one connected system.

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Pricing
Free
Paid
Plans
$0
$0/mo for 6 months, then 50% off
$130/mo per seat billed yearly
Custom
Custom
Popularity
1 views
7.2k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Desktop
Web
Categories
👥 Meeting Assistants & Notetakers🎤 Voice Dictation📝 Notes & Knowledge Management
✨ HR, Recruiting & Payroll
Features
Meetings mode records microphone plus Mac system audio with no bot in the call
On-device transcription in 12 languages with auto-detect
Speaker separation with 'Same person as…' merge and undo
Push-to-talk dictation pastes into any app and saves nothing
Tap-to-start voice notes saved as titled, searchable standalone notes
Markdown transcript archive in any folder, Obsidian-friendly
Project-aware meeting summaries that read earlier notes and summaries for context
Meetings auto-title themselves
Next steps filed to Notion, Linear, Jira or GitHub, or emailed to attendees
MCP server exposes the local archive to Claude Desktop, Cursor, Cline and Continue over a loopback bridge with no Node.js
Meeting preparation with agendas imported from text, Markdown, PDF or DOCX
Evidence-backed plan review with transcript timestamps per agenda item
Two-track audio export writing your voice and the other side to separate files that share one clock
Processing plans: Economy, Balanced and Maximum, with deferred processing while on a charger
Optional local privacy layer pseudonymizes people and companies and redacts card numbers
AI Sourcing Agent searches 800M+ profiles and surfaces best-fit candidates automatically
AI App Review Agent scores and ranks every inbound application before a recruiter opens it
AI Application Review ranks applicants 5x faster with reasoning for each score
AI Talent Rediscovery Agent resurfaces past candidates across your CRM and ATS who are now a fit
AI Fraud Detection Agent evaluates risk across multiple signals to flag suspicious applications
Unlimited AI sourcing per licensed recruiter, with no credit-based caps mid-search
Multi-channel, multi-stage outreach sequences with AI-personalized messaging
Unlimited email-finding with 2x better email coverage and a 98% delivery rate
Full ATS: job requisition management, job posting to 100+ boards, offer management
Candidate self-scheduling portal, multi-day and panel interview scheduling
Interviewer load balancing and advanced cross-team capacity management
Talent Compass pipeline analytics, dashboards, and forecasting calculator
Industry benchmarks and predictive DEI insights
Bi-directional ATS sync with Greenhouse, Workday, Lever, and iCIMS
GeMCP connects AI assistants like Claude and ChatGPT to your Gem recruiting data
Integrations
Claude Desktop
Cursor
Cline
Continue
Obsidian
Notion
Linear
Jira
GitHub
Apple Intelligence
ChatGPT
Kimi
Gemini
Ollama
LM Studio
Greenhouse
Workday
Lever
iCIMS
Slack
Claude

Who should pick which

  • Recruiting manager at a growth-stage company
    Pick: Gem

    Gem provides ATS, CRM, AI sourcing, screening, and fraud detection in one platform, reducing tool sprawl and improving recruiter productivity.

  • Privacy-conscious journalist conducting confidential interviews
    Pick: Daisy

    Daisy transcribes locally with no cloud upload, stores transcripts as markdown, and is free – ideal for sensitive conversations.

  • Developer wanting AI-accessible meeting transcripts via MCP
    Pick: Daisy

    Daisy's built-in MCP server lets Claude Desktop, Cursor, and other MCP clients query transcripts directly, enabling custom workflows.

  • Enterprise HR team using Workday or Greenhouse
    Pick: Gem

    Gem natively integrates with these ATS platforms, augmenting them with AI sourcing and CRM without requiring a full replacement.

  • Solo knowledge worker using Obsidian for notes
    Pick: Daisy

    Daisy saves transcripts as markdown directly into an Obsidian vault, enabling seamless note-taking and search without additional cost.

Frequently Asked Questions

Can Daisy be used on Windows or Linux?

No, Daisy is Mac-only and requires Apple Silicon (M1+).

Does Gem offer a free trial?

Gem is paid, but they may offer demos; no free tier is advertised.

Does Daisy support real-time transcription?

Daisy records and transcribes meetings; it produces transcripts after the meeting, not real-time streaming.

Is Daisy's data ever sent to the cloud?

No, Daisy is local-first. Everything stays on your machine unless you manually configure exports.

Can Gem replace my existing ATS?

Yes, Gem includes its own ATS, or it can augment existing ones like Workday, Greenhouse, or Lever.

What languages does Daisy support?

With the Parakeet v3 model (June 2026), it supports 25 languages.

Does Gem include an applicant tracking system?

Yes, Gem ATS is a core feature, alongside CRM and AI agents.

Is Daisy open source?

Yes, Daisy is open source on GitHub under MIT license.

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Last reviewed: July 2, 2026