Automate App Store Screenshots With Fastlane and AI

If you use Fastlane for builds, screenshot generation is probably still manual. Here's how to automate it end-to-end.

Traditional Fastlane Approach

Fastlane's snapshot captures screenshots from UI tests:

lane :screenshots do
  snapshot(
    devices: ["iPhone 16 Pro Max", "iPhone SE"],
    languages: ["en-US", "de-DE", "ja"],
    clear_previous_screenshots: true
  )
end

But these are raw captures — no marketing copy, no backgrounds, no device frames.

The Missing Step

After capture, you still need to: write copy, apply design system, add device mockups, generate all sizes, localize. This is where automation breaks down.

AI-Powered Pipeline

# 1. Capture raw screenshots
fastlane snapshot

# 2. AI generates marketing screenshots
# 3. Upload to App Store Connect
fastlane deliver(
  skip_metadata: true,
  overwrite_screenshots: true
)

MCP Server Integration

For AI coding assistants (Cursor, Claude, Copilot), AppFrames offers an MCP server:

• Agent reads your README for app description
• Processes raw screenshots from your project
• Generates marketing-ready assets with AI
• Outputs to your Fastlane screenshots folder
• Localizes to all supported languages

CI/CD Example (GitHub Actions)

jobs:
  screenshots:
    runs-on: macos-latest
    steps:
      - uses: actions/checkout@v4
      - name: Capture raw screenshots
        run: fastlane snapshot
      - name: Generate marketing screenshots
        run: npx appframes generate --input ./raw --output ./marketing
      - name: Upload to App Store Connect
        run: fastlane deliver

AppFrames works as a web tool today, with MCP access coming soon. Try it free →