Aspect: AI interview assistant that records, transcribes, and summarizes recruiting interviews, then autofills ATS scorecards. MeetingBot: Open-source meeting bot API that sends bots into Google Meet, Microsoft Teams, and Zoom to record calls, deployable to your own AWS infrastructure. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aspect when capturing and summarizing candidate interviews automatically matters most, and MeetingBot when teams that want to self-host meeting capture on their own aws infrastructure for privacy 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 meeting bot API that sends bots into Google Meet, Microsoft Teams, and Zoom to record calls, deployable to your own AWS infrastructure.
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
MeetingBot is an open-source meeting bot API that provides the infrastructure for sending bots into Google Meet, Microsoft Teams, and Zoom calls and recording them, so developers can build applications on top of meeting-recording data with a small amount of code. The project exposes a unified REST API for managing bots and accessing meeting data including video, audio, transcripts, and metadata, and ships with a visual dashboard for managing bots and viewing captured data. A distinguishing characteristic is that its entire infrastructure is defined using Terraform and deployed to AWS, which is intended to let teams self-host the platform on their own cloud account to keep meeting data private and control costs. The stack is primarily TypeScript, using a Next.js frontend, an Express backend, PostgreSQL, tRPC, and Drizzle ORM, and the project runs on scalable AWS ECS infrastructure. MeetingBot is positioned as an open-source alternative to closed-source meeting-bot vendors for developers who want recording and transcription capabilities without sending data through a third party. The project maintains a public landing page, an active community channel, and a GitHub repository under the LGPL-3.0 license. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aspect is a free tier with paid upgrades (freemium); MeetingBot is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aspect | MeetingBot |
|---|---|---|
| Core capability | Records, transcribes, highlights, and summarizes interviews across Zoom, Google Meet, and Microsoft Teams | Bot deployment to Google Meet, Microsoft Teams, and Zoom |
| Standout feature | AI-generated interview notes and candidate summaries | REST API for managing bots and accessing recordings, transcripts, and metadata |
| Team usage | One-click scorecard autofill from captured interview data | Visual dashboard for bot management and data viewing |
| Integrations | ATS integrations including Greenhouse, Lever, and Teamtailor | Infrastructure-as-code self-hosting via Terraform on AWS |
| Languages & capture | Interview analytics and team performance visibility | Scalable AWS ECS-based deployment |
| Best-fit workflow | AI coaching feedback for interviewers | TypeScript stack with Next.js, Express, PostgreSQL, tRPC, and Drizzle ORM |
Aspect
Choose Aspect if you need capturing and summarizing candidate interviews automatically — strengths include reduces manual note-taking so interviewers can focus on candidates.
MeetingBot
Choose MeetingBot if you need developers building products that need automated meeting recording across google meet, teams, and zoom — strengths include open source and self-hostable so meeting data stays in your own aws account.
Aspect
MeetingBot
It depends on your workflow. Aspect is strong for capturing and summarizing candidate interviews automatically, while MeetingBot is strong for developers building products that need automated meeting recording across google meet, teams, and zoom. Both transcribe and summarize meetings.
Aspect is a free tier with paid upgrades and MeetingBot is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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