Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Daisy: Local-first, open-source macOS meeting recorder and AI notes app that transcribes on-device and exposes meetings to AI tools through a local MCP server. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aspect when capturing and summarizing candidate interviews automatically matters most, and Daisy when feeding meeting transcripts into claude desktop or cursor via a local mcp server matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards.
Local-first, open-source macOS meeting recorder and AI notes app that transcribes on-device and exposes meetings to AI tools through a local MCP server.
Aspect is an AI interview assistant built for recruiters and hiring teams that joins interviews on Zoom, Google Meet, and Microsoft Teams to record, transcribe, highlight, and summarize candidate conversations. Instead of taking manual notes, interviewers can stay focused on the conversation while Aspect captures everything said and generates structured AI interview notes and summaries afterward. A central feature is its scorecard autofill, which uses the captured interview data to populate candidate evaluation forms with a single click and syncs notes and summaries back into the applicant tracking system. Aspect integrates with common ATS platforms such as Greenhouse, Lever, and Teamtailor so interview records flow directly into existing hiring workflows. The platform also provides interview analytics and AI coaching feedback intended to help interview teams improve consistency and reduce subjective bias over time. By standardizing how interviews are documented and evaluated, Aspect aims to make hiring decisions faster and more data-driven. It offers a free tier for a limited number of interviews alongside paid plans for teams. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy, from Addicted Studio, is a local-first meeting recorder and AI notes application for macOS that records meetings on the Mac, transcribes them on the device, and then exposes the captured conversations as a local MCP server for AI tools. It captures both microphone and system audio from any source, including Zoom, Google Meet, Telegram, and other apps, using ScreenCaptureKit, and performs on-device transcription with WhisperKit plus speaker identification via Pyannote diarization, so audio never leaves the Mac unless the user explicitly enables a cloud LLM provider. Beyond raw transcription, Daisy generates structured notes with action items and follow-ups and supports multiple summarization backends including Apple Intelligence, Anthropic, and OpenAI, as well as MCP. Because it runs a local MCP server, tools such as Claude Desktop and Cursor can read recorded meetings directly, and Daisy can export results to Notion, Linear, Attio, Slack, or arbitrary webhooks. It offers several capture modes covering meeting recording, voice dictation, and quick voice notes. Daisy is a native Mac application (not Electron) for Apple Silicon, is fully open source on GitHub under the Apache 2.0 license, and emphasizes privacy with no telemetry, tracking, or required account. The project maintains a product site at mydaisy.io with installation, FAQ, and support documentation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aspect is a free tier with paid upgrades (freemium); Daisy is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aspect | Daisy |
|---|---|---|
| Core capability | Records, transcribes, highlights, and summarizes interviews across Zoom, Google Meet, and Microsoft Teams | Local recording of mic and system audio from any source via ScreenCaptureKit |
| Standout feature | AI-generated interview notes and candidate summaries | On-device transcription with WhisperKit and speaker diarization via Pyannote |
| Team usage | One-click scorecard autofill from captured interview data | Structured AI notes with action items and follow-ups |
| Integrations | ATS integrations including Greenhouse, Lever, and Teamtailor | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP |
| Languages & capture | Interview analytics and team performance visibility | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings |
| Best-fit workflow | AI coaching feedback for interviewers | Exports to Notion, Linear, Attio, Slack, or custom webhooks |
Aspect
Choose Aspect if you need capturing and summarizing candidate interviews automatically — strengths include reduces manual note-taking so interviewers can focus on candidates.
Daisy
Choose Daisy if you need recording and transcribing meetings privately on a mac without cloud upload — strengths include fully local-first with audio kept on-device unless a cloud llm is explicitly enabled.
Aspect
Daisy
It depends on your workflow. Aspect is strong for capturing and summarizing candidate interviews automatically, while Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload. Both transcribe and summarize meetings.
Aspect is a free tier with paid upgrades and Daisy is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
More head-to-head comparisons involving Aspect and Daisy.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. This comparison weighs them on pricing, features, and everyday workflow fit.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Attention: AI conversation intelligence platform that records and transcribes sales calls, scores them against frameworks, and automates CRM updates and follow-ups. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Attio Call Intelligence: Attio's native call intelligence records, transcribes, and summarizes meetings and syncs every conversation to the Attio CRM automatically. This comparison weighs them on pricing, features, and everyday workflow fit.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. AudioNotes: AI note taker for voice, audio, video, and text that records meetings and memos and turns them into structured notes and summaries. The right pick comes down to team size, budget, and the workflows you want to automate.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. AudiosTranscribe: French-focused, bot-free meeting transcription tool with European inference, summaries, action plans, and automatic audio deletion. This comparison weighs them on pricing, features, and everyday workflow fit.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Audiosum: AI transcription platform with Arabic dialect support that transcribes and summarizes meetings, lectures and videos. The right pick comes down to team size, budget, and the workflows you want to automate.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Auris AI: Southeast Asia–built AI platform for transcribing audio and video, generating subtitles, and producing meeting and lecture notes across regional languages. The right pick comes down to team size, budget, and the workflows you want to automate.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. AutoMemo: Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares. The right pick comes down to team size, budget, and the workflows you want to automate.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Ava: AI live captioning and transcription app for accessibility, providing real-time captions for conversations and video meetings. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Aviso AI: End-to-end AI revenue platform whose conversation intelligence records and analyzes sales calls and meetings for B2B revenue teams. Below, they line up on price, capture method, and how each fits a real meeting stack.
Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. BB Recorder: A 100% local, no-bot meeting recorder for Mac and iOS that records, transcribes, and summarizes entirely on-device, built by the BuildBetter team. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.