TechFlow: 85% Less Documentation Maintenance Overhead
TechFlow was spending 20+ hours weekly on manual screenshot updates. See how they automated everything with Screenshotly's API.
When TechFlow's engineering team launched their new SaaS platform, they faced a challenge familiar to many growing companies: keeping documentation screenshots up-to-date. With a rapidly evolving UI and weekly releases, their documentation was constantly falling behind.
"Every time we shipped a feature, we'd have to manually update screenshots across 200+ documentation pages," explains Sarah Chen, TechFlow's Lead Technical Writer. "It was taking our team 20+ hours every week just on screenshot maintenance."
The Challenge: Documentation Debt
TechFlow's documentation challenges were mounting:
- 200+ pages requiring regular screenshot updates
- Weekly releases with UI changes
- 3 team members spending significant time on manual captures
- Inconsistent quality - different browsers, screen sizes, and capture times
- Outdated screenshots leading to customer confusion and support tickets
The traditional approach of using browser extensions or manual screenshots simply couldn't scale with their release velocity.
The Solution: Automated Screenshot Pipeline
TechFlow integrated Screenshotly into their CI/CD pipeline, automating screenshot capture on every deployment. Here's how their workflow evolved:
Before: Manual Process
1. Developer ships feature
2. QA identifies affected docs
3. Technical writer manually captures screenshots
4. Writer crops, resizes, and optimizes images
5. Writer updates documentation
6. Review and publish
Time: 2-3 days per feature
After: Automated Pipeline
1. Developer ships feature
2. CI/CD triggers Screenshotly API
3. Screenshots captured automatically
4. Images committed to docs repo
5. Documentation auto-deploys
Time: < 5 minutes
Implementation Details
TechFlow's implementation combines several Screenshotly features:
AI Element Removal
Their application uses Intercom for customer support and a cookie consent banner. Previously, every screenshot required manual editing to remove these elements.
// TechFlow's documentation screenshot config
const captureDocScreenshot = async (page) => {
const response = await fetch('https://api.screenshotly.app/screenshot', {
method: 'POST',
headers: {
'Authorization': `Bearer ${process.env.SCREENSHOTLY_API_KEY}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
url: `https://app.techflow.io${page.path}`,
device: 'desktop',
format: 'png',
aiRemoval: {
enabled: true,
types: ['cookie-banner', 'chat-widget', 'popup'],
},
viewport: { width: 1280, height: 800 },
}),
});
return response;
};
"The AI removal is what made this workflow stick," says Sarah. "We don't have to worry about Intercom or cookie banners appearing in our docs. Every screenshot is clean automatically."
Consistent Viewport Sizing
All documentation screenshots use the same 1280x800 viewport, ensuring visual consistency across their entire knowledge base.
Authenticated Captures
For screenshots of logged-in states, TechFlow passes session cookies to capture authenticated views:
const captureAuthenticatedPage = async (page, sessionToken) => {
return await fetch('https://api.screenshotly.app/screenshot', {
method: 'POST',
headers: {
'Authorization': `Bearer ${process.env.SCREENSHOTLY_API_KEY}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
url: `https://app.techflow.io${page.path}`,
device: 'desktop',
format: 'png',
cookies: [
{
name: 'session',
value: sessionToken,
domain: 'app.techflow.io'
}
],
aiRemoval: { enabled: true },
}),
});
};
The Results
After three months with Screenshotly:
Time Savings
| Metric | Before | After | Improvement |
|---|---|---|---|
| Hours/week on screenshots | 20+ | 3 | 85% reduction |
| Time to update after release | 2-3 days | 5 minutes | 99% faster |
| Screenshots needing manual edits | 100% | 0% | 100% automated |
Quality Improvements
- 100% consistency across all documentation screenshots
- Zero outdated screenshots - docs always match current UI
- Professional appearance - no more cookie banners or chat widgets
Support Impact
- 40% reduction in "documentation doesn't match" support tickets
- Faster onboarding - new users see accurate screenshots
- Higher NPS - customers appreciate up-to-date documentation
Team Feedback
Engineers no longer dread documentation updates. A new page added to the screenshot manifest is captured automatically on the next deploy, and the AI removal pass cleans Intercom, cookie banners, and session-specific badges without a designer opening Photoshop.
The technical writing team has been able to redirect time from screenshot maintenance to creating new content:
"We've published 3x more documentation content since implementing Screenshotly," notes Sarah. "Instead of updating old screenshots, we're writing guides for new features. It's transformed our documentation workflow."
Technical Architecture
TechFlow's integration runs as a GitHub Action triggered on deployments:
# .github/workflows/update-docs-screenshots.yml
name: Update Documentation Screenshots
on:
deployment:
types: [completed]
jobs:
capture-screenshots:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install dependencies
run: npm ci
- name: Capture screenshots
env:
SCREENSHOTLY_API_KEY: ${{ secrets.SCREENSHOTLY_API_KEY }}
run: node scripts/capture-screenshots.js
- name: Commit updated screenshots
run: |
git config user.name "Screenshot Bot"
git config user.email "bot@techflow.io"
git add docs/images/
git commit -m "Update documentation screenshots" || exit 0
git push
The capture script iterates through a manifest of pages and captures each one:
// scripts/capture-screenshots.js
const pages = require('./screenshot-manifest.json');
async function captureAll() {
for (const page of pages) {
console.log(`Capturing: ${page.path}`);
const screenshot = await captureDocScreenshot(page);
await fs.writeFile(`docs/images/${page.filename}`, screenshot);
}
}
captureAll();
Lessons Learned
TechFlow shares these tips for teams implementing documentation screenshot automation:
-
Start with a manifest: Create a JSON file listing all pages and screenshots. This makes it easy to add new pages and track what's covered.
-
Use consistent naming: Establish a naming convention like
{feature}-{view}.pngfor easy organization. -
Capture on staging first: Test your screenshot pipeline on staging environments before production to catch issues early.
-
Set appropriate delays: Some pages need time for animations or data loading. Use the
delayparameter when needed. -
Monitor failures: Set up alerts for screenshot capture failures so issues are caught quickly.
Conclusion
TechFlow's documentation transformation demonstrates the power of treating screenshots as code. By automating capture with Screenshotly, they've eliminated a major source of documentation debt while improving quality and consistency.
"Documentation is now a first-class citizen in our development workflow," says Sarah. "Screenshots update themselves, which means our docs are always accurate. It's exactly how it should be."
Want similar results for your documentation?
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About the Author

Asad Ali
Full-Stack Developer and Founder of ZTabs with 8+ years of experience building scalable web applications and APIs. Specializes in performance optimization, SaaS development, and modern web technologies.
Credentials: Founder & CEO at ZTabs, Full-Stack Developer, Expert in Next.js, React, Node.js, and API optimization
Frequently Asked Questions
How does TechFlow handle authenticated dashboard captures for docs?
They issue a narrow read-only doc-capture token on their backend, pass it as a Cookie header in the API request, and rotate weekly. No real user credentials touch CI; no API keys with write scope are ever used for capture. The token scope is limited to docs-visible screens only.
What exactly triggers a screenshot refresh?
Every merge to main triggers a GitHub Actions workflow that captures their manifest of documentation pages, writes PNGs to /static/img/screens/, and commits via a docs-bot. Screenshots update on the same cadence as deploys — they can't drift.
Why didn't TechFlow just use Puppeteer in CI?
They tried. The Chrome container inside a GitHub Actions runner ate ~3 minutes per workflow, hit flaky timeout issues on heavy pages, and required version-pinning maintenance every other month. A single API call per page is deterministic, takes 2–4 seconds, and never needs Chrome-version care.
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