Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. Uniphore: Uniphore is an enterprise conversational AI and customer service analytics platform that records, transcribes, and analyzes voice and digital interactions for real-time agent assist, conversation intelligence, and automated quality assurance. 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 Attendee when developers embedding meeting recording and transcription into their own saas products matters most, and Uniphore when qa and supervisor teams automating call scoring, coaching, and compliance monitoring across all interactions matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts.
Uniphore is an enterprise conversational AI and customer service analytics platform that records, transcribes, and analyzes voice and digital interactions for real-time agent assist, conversation intelligence, and automated quality assurance.
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
Uniphore is an enterprise Business AI platform built for contact centers and customer service operations. Its customer service suite captures and records voice and screen interactions, then applies speech-to-text and natural language processing to transcribe and analyze conversations. The Conversation Insights Agent uses generative AI to analyze 100% of customer calls, producing conversation summaries, sentiment analysis, and topic/call-driver detection, and lets users query insights in natural language without predefined keyword lists. Its Real-Time Agent Assist surfaces in-the-moment guidance and knowledge during live calls and automates after-call work such as wrap-up summaries. The platform also automates quality assurance across every call rather than relying on random sampling or manual scorecards, flagging coaching needs and compliance gaps. The Communication Recording Agent provides multi-channel audio capture, transcription, and built-in compliance controls (MiFID II, Dodd-Frank, PCI DSS, GDPR). It targets contact center leaders, QA managers, supervisors, and operations teams. Uniphore is established, with documented enterprise deployments and industry analyst recognition.
Best suited for
Attendee is a free tier with paid upgrades (freemium); Uniphore is custom pricing (contact sales). Always confirm current pricing on each vendor's site before buying.
| Feature | Attendee | Uniphore |
|---|---|---|
| Core capability | Unified REST API for deploying bots to Zoom, Google Meet, and Microsoft Teams | Real-time call transcription and live agent assist with in-the-moment guidance |
| Standout feature | Meeting recording and transcript retrieval through API endpoints | Generative-AI conversation intelligence analyzing 100% of calls for summaries, sentiment, and call drivers |
| Team usage | Real-time media pipeline with websocket audio input/output | Automated quality assurance across all interactions without random sampling or manual scorecards |
| Integrations | Webhooks for event-driven workflows | Multi-channel voice and screen recording with transcription in supported languages |
| Languages & capture | Calendar integration and scheduled-meeting support | Natural language querying of conversation insights without keyword lists or tags |
| Best-fit workflow | Single Docker image self-hosting built on Django, PostgreSQL, and Redis | Automated after-call work (ACW) summaries and post-call task automation |
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.
Uniphore
Choose Uniphore if you need contact centers transcribing and analyzing every customer call to uncover call drivers and sentiment trends — strengths include analyzes 100% of conversations rather than a sampled subset, improving qa and compliance coverage.
Attendee
Uniphore
It depends on your workflow. Attendee is strong for developers embedding meeting recording and transcription into their own saas products, while Uniphore is strong for contact centers transcribing and analyzing every customer call to uncover call drivers and sentiment trends. Both transcribe and summarize meetings.
Attendee is a free tier with paid upgrades and Uniphore is custom pricing. 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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