Mayandev/notion-avatar

🪄 AI-powered online tool for making notion-style avatars.

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Mayandev/notion-avatar has 3k+ stars and 250+ forks on GitHub, is written in TypeScript, and was last pushed on Jun 6, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 33 minutes ago
Added to GitGenius on September 21st, 2026
Created on September 24th, 2021
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 260
Total Stargazers: 3,226 (+0)
Total Subscribers: 9 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 377.8 days
Mean response time: 318.5 days
90th percentile: 693.9 days
Tracked items: 8

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 0 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (1)
  • invalid (1)

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Detailed Description

Notion Avatar Maker is an AI-powered online tool for generating custom avatars in the style of Notion's design system.

The tool solves the problem of creating personalized avatars by offering multiple generation approaches: users can transform existing photos into Notion-style avatars, generate avatars from text descriptions, or compose custom designs. The underlying approach combines AI capabilities with a curated library of illustration assets covering facial features, hairstyles, and accessories, allowing users to either let AI handle the creation or manually customize individual components.

The tool suits anyone needing a distinctive avatar for professional profiles, personal branding, or community platforms who appreciates Notion's minimalist aesthetic. It works well for users across different regions, as the interface supports ten languages. The project provides a web-based experience with no installation required, making it accessible to non-technical users. Those seeking maximum customization can mix and match from the available style options, while users preferring automation can rely on the AI generation features.

Development activity shows consistent engagement with user feedback through issue tracking and direct communication channels. The project maintains a polished user experience across multiple languages, indicating attention to internationalization as a core concern. The creator actively supports the tool through community channels and accepts contributions or questions from users.