OpenTranscribe and Shadow are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. OpenTranscribe: Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration. Shadow: A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist OpenTranscribe when teams self-hosting a searchable archive of transcribed meeting and media recordings matters most, and Shadow when capturing notes and summaries across multiple conferencing platforms without a bot joining matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration.
AI summarization, topic extraction, and content analysis via multiple LLM providersAuto-import from local folders, S3, and SMB sharesAutomatic speaker diarization via PyAnnote v4 with overlap detection
A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant.
Bot-free capture that records system audio without joining the meeting as a participantCaptures on-screen content in addition to spoken audioCustomizable prompts/Skills to generate notes, summaries, and emails
OpenTranscribe is a free tier with paid upgrades (freemium); Shadow is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
WhisperX transcription with large-v3-turbo and 100+ language support
Bot-free capture that records system audio without joining the meeting as a participant
Standout feature
Automatic speaker diarization via PyAnnote v4 with overlap detection
On-device (local) transcription on macOS
Team usage
Full-text search and filtering powered by OpenSearch
Speaker identification during transcription
Integrations
AI summarization, topic extraction, and content analysis via multiple LLM providers
Captures on-screen content in addition to spoken audio
Languages & capture
Time-stamped comments for collaboration and annotation
Customizable prompts/Skills to generate notes, summaries, and emails
Best-fit workflow
Auto-import from local folders, S3, and SMB shares
Webhook integration to connect outputs to other tools
Best for
OpenTranscribe
Choose OpenTranscribe if you need teams self-hosting a searchable archive of transcribed meeting and media recordings — strengths include fully self-hosted web app with a complete transcription-and-analysis stack.
Shadow
Choose Shadow if you need capturing notes and summaries across multiple conferencing platforms without a bot joining — strengths include does not add a visible bot to meetings.
Pros & cons
OpenTranscribe
+ Fully self-hosted web app with a complete transcription-and-analysis stack
+ Strong speaker diarization and 100+ language coverage via WhisperX
- AGPL-3.0 license imposes copyleft obligations on modifications served to users
Shadow
+ Does not add a visible bot to meetings
+ Local transcription keeps core audio processing on the device
- Available for macOS only
FAQ
Is OpenTranscribe or Shadow better for AI meeting notes?
It depends on your workflow. OpenTranscribe is strong for teams self-hosting a searchable archive of transcribed meeting and media recordings, while Shadow is strong for capturing notes and summaries across multiple conferencing platforms without a bot joining. Both transcribe and summarize meetings.
How do OpenTranscribe and Shadow compare on price?
OpenTranscribe is a free tier with paid upgrades and Shadow is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both OpenTranscribe and Shadow?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.