Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. Screenpipe: Screenpipe is an open, local-first desktop app that records your screen and audio, transcribes calls on-device with Whisper, and auto-generates meeting summaries with action items. 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 Screenpipe when building a searchable, private record of meetings and screen activity to recall past discussions and decisions 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.
Screenpipe is an open, local-first desktop app that records your screen and audio, transcribes calls on-device with Whisper, and auto-generates meeting summaries with action items.
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
Screenpipe is a local-first, source-available desktop application that continuously captures your screen and audio to build a private, searchable AI memory of your computer activity. For meetings, it records microphone and system audio in the background and transcribes in real time using OpenAI's Whisper model running locally, so calls from any app that plays through your speakers, including Zoom, Google Meet, Microsoft Teams, and Slack huddles, are captured without a bot joining the call. It supports speaker diarization and many languages. When a meeting ends, a meeting-summary pipe can generate structured notes, including a short bullet summary, action items per person, and decisions plus next steps, and write them to destinations such as Obsidian, Notion, or Apple Notes. Because capture, text extraction, transcription, and search can run entirely offline, data stays in a local database on your device, with options to redact PII and exclude specific apps or windows. Screenpipe also runs as an MCP server, letting AI assistants query your history. It is aimed at engineers, researchers, and privacy-conscious professionals. It runs on macOS, Windows, and Linux.
Best suited for
Attendee is a free tier with paid upgrades (freemium); Screenpipe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Attendee | Screenpipe |
|---|---|---|
| Core capability | Unified REST API for deploying bots to Zoom, Google Meet, and Microsoft Teams | On-device screen and audio recording that captures system audio from any app, including Zoom, Google Meet, Teams, and Slack huddles |
| Standout feature | Meeting recording and transcript retrieval through API endpoints | Local real-time transcription using OpenAI's Whisper model, with speaker diarization and multi-language support |
| Team usage | Real-time media pipeline with websocket audio input/output | Automatic meeting summaries with bullet recap, action items per person, and decisions plus next steps |
| Integrations | Webhooks for event-driven workflows | Writes structured notes to destinations like Obsidian, Notion, and Apple Notes via configurable pipes |
| Languages & capture | Calendar integration and scheduled-meeting support | Fully offline operation with local storage, on-device PII redaction, and app/window/URL exclusions |
| Best-fit workflow | Single Docker image self-hosting built on Django, PostgreSQL, and Redis | Runs as an MCP server so AI assistants and clients can query your screen and audio history |
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.
Screenpipe
Choose Screenpipe if you need automatically capturing and summarizing video calls across zoom, meet, and teams without a meeting bot — strengths include privacy-first: capture, transcription, and search can run entirely on-device with no cloud dependency.
Attendee
Screenpipe
It depends on your workflow. Attendee is strong for developers embedding meeting recording and transcription into their own saas products, while Screenpipe is strong for automatically capturing and summarizing video calls across zoom, meet, and teams without a meeting bot. Both transcribe and summarize meetings.
Attendee is a free tier with paid upgrades and Screenpipe is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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