Evernote AI vs Mem

Detailed side-by-side comparison to help you choose the right tool

Evernote AI

Productivity

AI-powered note-taking platform with features including an AI Assistant for organizing notes, semantic search for finding related content, and AI meeting notes for generating summaries and transcripts.

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Starting Price

Custom

Mem

Productivity

AI-powered tool that organizes team work including meeting notes, projects, and knowledge bases, making everything instantly searchable and discoverable.

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Starting Price

Custom

Feature Comparison

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FeatureEvernote AIMem
CategoryProductivityProductivity
Pricing Plans8 tiers8 tiers
Starting Price
Key Features
  • β€’ AI Assistant inside the note editor
  • β€’ AI-Powered Search with natural language queries
  • β€’ AI Meeting Notes with transcription and summary
  • β€’ AI-powered automatic organization
  • β€’ Natural language search across all notes
  • β€’ Chat with your notes via AI assistant

πŸ’‘ Our Take

Choose Evernote AI if you value mature mobile apps, Web Clipper, OCR, and a familiar notebook/tag structure. Choose Mem if you want an AI-first workspace built around automatic linking and a chat interface to your notesβ€”Mem is more experimental and AI-native, while Evernote is more polished and predictable for traditional note-taking workflows.

Evernote AI - Pros & Cons

Pros

  • βœ“AI features are integrated directly into a mature note-taking app with 17+ years of polish, rather than bolted onto a new platform
  • βœ“AI-Powered Search understands natural-language queries across your full archive, including OCR-extracted text from images and PDFs
  • βœ“AI Meeting Notes captures Zoom, Google Meet, and Microsoft Teams calls with auto-generated summaries and action items
  • βœ“Strong cross-platform support: native apps on Windows, macOS, iOS, Android, and a full web client with offline mode on paid tiers
  • βœ“Web Clipper is widely regarded as one of the best in the category for saving articles, PDFs, and screenshots into structured notebooks
  • βœ“Integrates with 200+ tools via Zapier plus native connections to Google Drive, Slack, Microsoft Teams, and Google Calendar

Cons

  • βœ—Free plan is heavily restricted: only 50 notes, 1 notebook, and a 2-device limit, making the AI features hard to evaluate without paying
  • βœ—Professional pricing at $17.99/month is higher than Notion AI ($10/user/month) and most direct competitors in our directory
  • βœ—Reputation suffered after the 2023 Bending Spoons acquisition due to layoffs and pricing changes, making some long-time users wary
  • βœ—Real-time collaboration and database/wiki features are weaker than Notion or Coda, limiting team-based knowledge management
  • βœ—AI Assistant credits on lower tiers are capped, and heavy users can hit monthly limits on summarization or rewriting tasks

Mem - Pros & Cons

Pros

  • βœ“Eliminates manual tagging and folder organization β€” the AI automatically connects related notes without user effort
  • βœ“Natural-language search lets you ask questions like 'what did we decide about pricing last quarter?' and get contextual answers
  • βœ“Generous freemium tier makes it accessible for individuals to evaluate before committing to paid plans
  • βœ“Strong meeting notes workflow with automatic capture, summarization, and linking to relevant prior context
  • βœ“Clean, distraction-free writing interface compared to feature-heavy competitors like Notion
  • βœ“Available across web, desktop (Mac/Windows), and mobile for consistent capture on any device

Cons

  • βœ—Lacks the structured database and project management capabilities of Notion or Coda, limiting its use as an all-in-one workspace
  • βœ—AI organization means less user control β€” power users who prefer manual knowledge graph curation (like Obsidian users) may find it opaque
  • βœ—Requires modern browser versions (Chrome 109+, Safari 17+, Firefox 120+), blocking users on older systems
  • βœ—Team collaboration features are less mature than established competitors in the knowledge management space
  • βœ—Reliance on cloud-based AI processing raises privacy considerations for teams handling sensitive documents

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