What is Shadow?

Shadow is an AI meeting assistant that automatically records, transcribes, and summarizes both spoken words and on‑screen content from virtual or in‑person meetings. It captures audio, live video, and screenshots, tags speakers in real time, and stores all data locally on the user’s device for privacy and compliance.

The AI generates concise meeting notes, action items, and draft follow‑up emails immediately after the session ends, making it easier for team leaders, project managers, and remote workers to stay organized. Shadow’s background operation ensures no interruptions or visible bot presence, and its workflow automation allows exporting results to Markdown or integrating with Zapier webhooks for seamless tool connections.

Shadow pricing Freemium

Free $0
Download for mac plus $8 $12/mo
Upgrade $8 $12/mo

Shadow user reviews

Based on 4 reviews, 50.0% of users recommend Shadow, rated highly for ease of use.

2
recommend
2
don't
4 reviews

Liked for

Good integrations 2 of 2
Worth the price 1 of 2
Easy to use 1 of 2
All key features 1 of 2

Disliked for

Inconsistent results 2 of 2
Lacks integrations 2 of 2
Would you recommend Shadow?

Shadow's key features

  • Captures audio and screen content
  • Automatic real-time transcription
  • Real-time speaker identification
  • Local-first transcription and storage
  • Searchable meeting archive
  • Integrated notepad for notes
  • Automated tasks with webhook export

Shadow use cases

  • Automatically transcribe and summarize a virtual client call, create action items, draft a follow‑up email, and export the notes to Markdown for the sales team
  • Record in‑person board meetings, tag speakers, generate multilingual summaries, and use Zapier integration to create tasks in project management tools
  • Capture workshop recordings, transcribe speaker notes, and produce a shared Markdown summary of key insights for quick knowledge sharing among the team

Who is it for?

  • Sales teams
  • Meeting organizers
  • Product designers
  • Content creators
  • Data analysts

Community Discussions

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