Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. 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 joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Try them side by side on real calls before deciding — needs vary by team.
AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards.
Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP.
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
joinly is an open-source middleware project (by joinly-ai) that makes meetings accessible to AI agents. It runs as a Model Context Protocol (MCP) server that equips any agent with the tools to join a live video call, capture a real-time transcript, and interact by voice or chat during the meeting. Rather than being a finished notetaker app, joinly is a framework developers use to build interactive meeting agents that can listen, answer, search the web, draft documents, and post chat messages while the meeting is in progress. It works cross-platform across Google Meet, Zoom, and Microsoft Teams (and browser-based calls), and is model-agnostic, supporting OpenAI, Anthropic, and local models through Ollama. Speech-to-text and text-to-speech are modular, with Whisper or Deepgram for transcription and Kokoro, ElevenLabs, or Deepgram for synthesis. The project is MIT licensed and deployed via Docker (with a separate CUDA GPU image), giving teams full data sovereignty. The MCP server exposes join/leave controls, transcript and participant access, audio control, chat messaging, and video snapshots, making it a building block for custom, privacy-first meeting automation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aspect is a free tier with paid upgrades (freemium); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aspect | joinly |
|---|---|---|
| Core capability | Records, transcribes, highlights, and summarizes interviews across Zoom, Google Meet, and Microsoft Teams | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | AI-generated interview notes and candidate summaries | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | One-click scorecard autofill from captured interview data | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | ATS integrations including Greenhouse, Lever, and Teamtailor | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Interview analytics and team performance visibility | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | AI coaching feedback for interviewers | Docker-based self-hosting with optional CUDA GPU image |
Aspect
Choose Aspect if you need capturing and summarizing candidate interviews automatically — strengths include reduces manual note-taking so interviewers can focus on candidates.
joinly
Choose joinly if you need building custom ai meeting agents that answer questions and run tasks during live calls — strengths include fully open source (mit) and self-hostable for complete data control.
Aspect
joinly
It depends on your workflow. Aspect is strong for capturing and summarizing candidate interviews automatically, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Aspect is a free tier with paid upgrades and joinly is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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