Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. Talat: A privacy-first desktop meeting notes app that records and transcribes calls entirely on your own machine, with no bot and no cloud upload. 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 Talat when keeping a searchable local archive of meeting notes in markdown or obsidian 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 privacy-first desktop meeting notes app that records and transcribes calls entirely on your own machine, with no bot and no cloud upload.
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
Talat is a lightweight desktop application that records and transcribes meetings entirely on the user's own computer, keeping audio and notes off cloud servers. It captures both the microphone and system audio, automatically detecting active conferencing apps such as Zoom, Microsoft Teams, Google Meet, and FaceTime, and transcribes both sides of the conversation in real time with low latency. Speakers are identified automatically and can be adjusted manually, and transcript segments can be edited, split, or deleted. When a meeting ends, an on-device large language model generates a summary highlighting key points, decisions, and action items. Because transcription and summarization run locally using hardware acceleration, the app functions offline and does not send meeting data to external providers, though users can optionally connect their own cloud LLM if they prefer. Talat supports exporting notes to Markdown for tools like Obsidian, along with webhooks and Model Context Protocol (MCP) support for integrating meeting data into other workflows, plus full local search across past recordings. Available for Apple Silicon Macs and Windows, it is sold as a one-time purchase rather than a subscription, making it suited to privacy-conscious individuals and small teams who want local control of their meeting records. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aspect is a free tier with paid upgrades (freemium); Talat is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aspect | Talat |
|---|---|---|
| Core capability | Records, transcribes, highlights, and summarizes interviews across Zoom, Google Meet, and Microsoft Teams | Fully local, on-device recording and transcription with no cloud upload |
| Standout feature | AI-generated interview notes and candidate summaries | Captures microphone and system audio from Zoom, Teams, Meet, and FaceTime |
| Team usage | One-click scorecard autofill from captured interview data | Real-time speaker identification with editable transcript segments |
| Integrations | ATS integrations including Greenhouse, Lever, and Teamtailor | On-device LLM summaries of key points, decisions, and action items |
| Languages & capture | Interview analytics and team performance visibility | Markdown export to tools like Obsidian, plus webhooks and MCP support |
| Best-fit workflow | AI coaching feedback for interviewers | Local search across all previously recorded 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.
Talat
Choose Talat if you need recording and transcribing meetings without sending audio to the cloud — strengths include audio and notes never leave the device, supporting strong privacy and offline use.
Aspect
Talat
It depends on your workflow. Aspect is strong for capturing and summarizing candidate interviews automatically, while Talat is strong for recording and transcribing meetings without sending audio to the cloud. Both transcribe and summarize meetings.
Aspect is a free tier with paid upgrades and Talat 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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