Shadow and StenoAI are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Shadow: A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant. StenoAI: Open-source desktop app that records, transcribes, and summarizes meetings entirely on-device with no bots, subscriptions, or cloud processing. 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 Shadow when capturing notes and summaries across multiple conferencing platforms without a bot joining matters most, and StenoAI when capturing and summarizing confidential meetings without sending audio to the cloud matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
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
Open-source desktop app that records, transcribes, and summarizes meetings entirely on-device with no bots, subscriptions, or cloud processing.
25 European languages live, up to 99 languages via Whisper after recordingLocal LLM summaries through Ollama, with remote Ollama server supportMarkdown export of transcripts and summaries
Shadow is a free tier with paid upgrades (freemium); StenoAI is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Bot-free capture that records system audio without joining the meeting as a participant
On-device transcription with Parakeet TDT v3 (Apple Silicon) or Whisper models
Standout feature
On-device (local) transcription on macOS
System audio and microphone capture via native Core Audio Tap (no bots)
Team usage
Speaker identification during transcription
Real-time on-screen speaker labels distinguishing you from others
Integrations
Captures on-screen content in addition to spoken audio
Local LLM summaries through Ollama, with remote Ollama server support
Languages & capture
Customizable prompts/Skills to generate notes, summaries, and emails
25 European languages live, up to 99 languages via Whisper after recording
Best-fit workflow
Webhook integration to connect outputs to other tools
Markdown export of transcripts and summaries
Best for
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.
StenoAI
Choose StenoAI if you need capturing and summarizing confidential meetings without sending audio to the cloud — strengths include fully local, bot-free capture with no cloud processing or subscriptions for core use.
Pros & cons
Shadow
+ Does not add a visible bot to meetings
+ Local transcription keeps core audio processing on the device
- Available for macOS only
StenoAI
+ Fully local, bot-free capture with no cloud processing or subscriptions for core use
+ MIT-licensed and open source, with active 2026 releases
- Primary support is macOS on Apple Silicon; Windows build is alpha and Intel Mac support ended at v0.3.8
FAQ
Is Shadow or StenoAI better for AI meeting notes?
It depends on your workflow. Shadow is strong for capturing notes and summaries across multiple conferencing platforms without a bot joining, while StenoAI is strong for capturing and summarizing confidential meetings without sending audio to the cloud. Both transcribe and summarize meetings.
How do Shadow and StenoAI compare on price?
Shadow is a free tier with paid upgrades and StenoAI 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 Shadow and StenoAI?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.