Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Natively: A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aspect when capturing and summarizing candidate interviews automatically matters most, and Natively when running a fully local, offline meeting assistant via ollama for sensitive discussions matters most. Run both through a week of actual calls to see which suits your workflow.
AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards.
A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support.
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
Natively is an open-source AI meeting assistant maintained by the Natively-AI-assistant project and actively developed through 2025 and 2026. It runs as a desktop application on macOS (Apple Silicon and Intel) and Windows, capturing meeting audio directly on the device rather than joining calls as a visible participant. Built with a Rust-based audio pipeline, it provides low-latency real-time transcription and generates structured, searchable meeting notes that include action items, decisions, and key moments, alongside an on-demand AI assist triggered by a keyboard shortcut. It offers several meeting modes for different contexts and works alongside major platforms such as Zoom, Google Meet, and Microsoft Teams. Natively is bring-your-own-key and supports providers including Google Gemini, OpenAI, Anthropic Claude, and Groq, plus a fully local option through Ollama so transcription and analysis can stay offline on the user's machine; meeting data is stored locally by default. As an indie, community-driven tool it positions itself as a free alternative to paid commercial assistants, though it relies on user-supplied API keys for cloud models and is still evolving. Verify current features and any policies on the official site. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aspect is a free tier with paid upgrades (freemium); Natively is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aspect | Natively |
|---|---|---|
| Core capability | Records, transcribes, highlights, and summarizes interviews across Zoom, Google Meet, and Microsoft Teams | Real-time transcription with a low-latency Rust-based audio pipeline |
| Standout feature | AI-generated interview notes and candidate summaries | Structured, searchable meeting notes with action items and decisions |
| Team usage | One-click scorecard autofill from captured interview data | On-demand AI assist via keyboard shortcut during calls |
| Integrations | ATS integrations including Greenhouse, Lever, and Teamtailor | Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq |
| Languages & capture | Interview analytics and team performance visibility | Fully local/offline option through Ollama with local data storage by default |
| Best-fit workflow | AI coaching feedback for interviewers | Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot |
Aspect
Choose Aspect if you need capturing and summarizing candidate interviews automatically — strengths include reduces manual note-taking so interviewers can focus on candidates.
Natively
Choose Natively if you need capturing real-time transcripts and structured notes from calls without a visible bot — strengths include free and open source with active development.
Aspect
Natively
It depends on your workflow. Aspect is strong for capturing and summarizing candidate interviews automatically, while Natively is strong for capturing real-time transcripts and structured notes from calls without a visible bot. Both transcribe and summarize meetings.
Aspect is a free tier with paid upgrades and Natively 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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