Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. Pifini: AI-native sales enablement platform with a live call copilot and AI call scoring that evaluates sales conversations and routes reps into targeted coaching. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Attendee when developers embedding meeting recording and transcription into their own saas products matters most, and Pifini when providing real-time in-call guidance and objection handling to sellers matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts.
AI-native sales enablement platform with a live call copilot and AI call scoring that evaluates sales conversations and routes reps into targeted coaching.
Attendee is an open-source REST API, developed by Attendee Labs, that abstracts the engineering work of building meeting bots into a single developer-friendly interface. Instead of maintaining separate bot stacks for each video platform, developers send one API request and Attendee dispatches a bot that joins a Zoom, Google Meet, or Microsoft Teams call, then returns recordings, transcripts, and real-time media streams. It is built on widely used, battle-tested technologies such as Django, PostgreSQL, and Redis, and is designed to run from a single Docker image so teams can self-host it on their own infrastructure for data residency, compliance, and cost control. The project documents real-time transcription, webhooks, calendar integration, scheduled meetings, and websocket audio input/output. Because it is open source and self-hosted, organizations in regulated industries can keep meeting audio and transcripts inside their own environment rather than routing them through a third-party vendor. The repository is actively maintained with frequent releases, and the project markets itself as a lower-cost alternative to closed-source meeting-bot platforms for developers who want to embed meeting capture and transcription into their own applications. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Pifini is an AI-native sales enablement platform that combines real-time call assistance with AI-driven call scoring, with a particular focus on partner and channel sales ecosystems as well as direct sales teams. Its Live Sales Call Copilot (described as a 'wingman') listens during active conversations and provides real-time guidance, objection-handling prompts, and contextual content recommendations to help reps move deals forward. After calls, Pifini's AI call scoring evaluates every eligible conversation against defined success criteria, identifying strengths, weaknesses, missed moments, talk patterns, tone, objection handling, and messaging accuracy, then surfaces coaching opportunities. A defining workflow is the link between analysis and training: when the scoring engine detects recurring skill gaps, it can automatically route reps or partners into targeted modules inside the platform's enterprise learning management system, letting leaders assign content, track completion, and measure whether coaching changes future call performance. Beyond call intelligence, Pifini bundles digital sales rooms, AI-powered sales role-play for practice, a partner enablement hub, and integrations with common sales and CRM tools. It is aimed at organizations that sell through resellers, distributors, and alliances, where coaching call activity at scale is difficult because much of the selling happens outside the company, as well as internal sales teams seeking consistent call scoring and enablement in one platform. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Attendee is a free tier with paid upgrades (freemium); Pifini is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Attendee | Pifini |
|---|---|---|
| Core capability | Unified REST API for deploying bots to Zoom, Google Meet, and Microsoft Teams | Live Sales Call Copilot providing real-time guidance and objection-handling prompts |
| Standout feature | Meeting recording and transcript retrieval through API endpoints | AI call scoring that evaluates conversations against defined success criteria |
| Team usage | Real-time media pipeline with websocket audio input/output | Automated routing of reps into targeted training based on detected skill gaps |
| Integrations | Webhooks for event-driven workflows | Integrated enterprise learning management system for enablement |
| Languages & capture | Calendar integration and scheduled-meeting support | AI-powered sales role-play for practicing scripts and objections |
| Best-fit workflow | Single Docker image self-hosting built on Django, PostgreSQL, and Redis | Digital sales rooms for buyer engagement |
Attendee
Choose Attendee if you need developers embedding meeting recording and transcription into their own saas products — strengths include fully open source and designed for convenient self-hosting, keeping meeting data on your own infrastructure.
Pifini
Choose Pifini if you need coaching reps and channel partners at scale with automated call scoring — strengths include connects call analysis directly to targeted coaching and training workflows.
Attendee
Pifini
It depends on your workflow. Attendee is strong for developers embedding meeting recording and transcription into their own saas products, while Pifini is strong for coaching reps and channel partners at scale with automated call scoring. Both transcribe and summarize meetings.
Attendee is a free tier with paid upgrades and Pifini 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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