Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. OpenWhispr: Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes. 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 OpenWhispr when turning rough in-meeting notes into structured summaries and action items matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards.
Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes.
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
OpenWhispr is an open-source desktop application for macOS, Windows, and Linux that converts speech to text and includes a meeting notes capability built on the same engine. Its core function is global-hotkey dictation that inserts transcribed text at the cursor in any application, but it also ships an AI Notepad for meetings, an AI Chat that can reference past meetings, and an audio upload feature for transcribing recorded files. For meetings it captures the computer's audio directly rather than sending a bot into the call, transcribes the conversation in the background, and combines rough notes with the transcript to produce structured minutes that highlight decisions, action items, and next steps. Transcription can run locally using bundled Whisper and NVIDIA Parakeet models or connect to cloud models with a bring-your-own-key setup, and the project emphasizes that audio can be processed and discarded for privacy. The codebase is publicly available on GitHub and the app is actively maintained through 2026. It is aimed at developers, writers, and individuals or small teams who want a private, auditable, cross-platform transcription and meeting-notes tool. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aspect is a free tier with paid upgrades (freemium); OpenWhispr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aspect | OpenWhispr |
|---|---|---|
| Core capability | Records, transcribes, highlights, and summarizes interviews across Zoom, Google Meet, and Microsoft Teams | Open-source and auditable, with code published on GitHub |
| Standout feature | AI-generated interview notes and candidate summaries | Cross-platform desktop app for macOS, Windows, and Linux |
| Team usage | One-click scorecard autofill from captured interview data | Local transcription via bundled Whisper and NVIDIA Parakeet models |
| Integrations | ATS integrations including Greenhouse, Lever, and Teamtailor | Bring-your-own-key cloud model option for flexibility |
| Languages & capture | Interview analytics and team performance visibility | AI Notepad that turns rough meeting notes plus transcript into structured minutes |
| Best-fit workflow | AI coaching feedback for interviewers | Full-text search and AI Chat across captured meetings |
Aspect
Choose Aspect if you need capturing and summarizing candidate interviews automatically — strengths include reduces manual note-taking so interviewers can focus on candidates.
OpenWhispr
Choose OpenWhispr if you need privately transcribing computer-audio meetings without a bot joining the call — strengths include fully open source, so users can inspect and self-host the code.
Aspect
OpenWhispr
It depends on your workflow. Aspect is strong for capturing and summarizing candidate interviews automatically, while OpenWhispr is strong for privately transcribing computer-audio meetings without a bot joining the call. Both transcribe and summarize meetings.
Aspect is a free tier with paid upgrades and OpenWhispr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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