Transform product specs into multi-language marketing materials

Your product team just finished specifications for a new feature. It's solid technical work: clear, detailed, ready to ship. But now your marketing department needs that same information in five languages, tailored for different regions, with corresponding graphics for each market. Three weeks later, after multiple rounds of back-and-forth emails and manual editing, you've finally got your localised campaigns ready. By then, your competitor has already launched theirs. This is the reality for many marketing teams: product specs arrive as raw material, and the journey from engineering brief to market-ready assets is almost entirely manual. Someone reads the spec, rewrites it as marketing copy, another person tweaks it for cultural nuances, and a designer creates region-specific visuals. The process is slow, error-prone, and expensive. If your spec changes, you start over. What if instead, the moment a product spec landed in a shared folder, your system automatically generated localised copy in multiple languages, created matching visual assets, and had everything ready for review within hours? No emails, no back-and-forth, no waiting for freelance translators. That's what automated workflow design enables, and it's more practical than you might think.

The Automated Workflow

We'll build this using n8n, which offers the best balance of flexibility and ease-of-use for this particular job. The workflow starts when a product spec arrives, pipes it through Copy.ai for copywriting and localisation, then passes the output to Nsketch AI for visual asset generation. All done with virtually no manual intervention. The overall flow looks like this: 1. Product spec file lands in Google Drive or Dropbox.

2. n8n detects the new file and reads its content.

3. The spec is sent to Copy.ai's API with instructions to generate marketing copy in English, Spanish, French, German, and Japanese.

4. Copy.ai returns localised copy variants.

5. Each language variant is sent to Nsketch AI to generate matching visual assets (product mockups, hero images, etc.).

6. All outputs (copy + images) are saved to a shared folder and a Slack notification is sent to your marketing team.

Setting up n8n:

Start by creating a new workflow in n8n. You'll need to connect your cloud storage first.

CopyTrigger node: Google Drive File Watch
- Folder path: /Product Specs
- Event: File created
- File type filter: .docx, .pdf, .txt

This trigger fires whenever someone uploads a new specification document. Next, add a node to read the file content:

CopyNode: Google Drive Read File
- Input: Use the file ID from the trigger
- Output: File content as text

Now send that content to Copy.ai. You'll need an API key from your Copy.ai account.

CopyNode: HTTP Request (POST)
URL: https://api.copy.ai/v1/generate
Headers: Authorization: Bearer YOUR_COPY_AI_API_KEY Content-Type: application/json Body:
{ "input_text": "{{ $node['Google Drive Read File'].json.content }}", "output_language": ["en", "es", "fr", "de", "ja"], "style": "marketing", "tone": "professional", "template": "product_launch", "max_length": 300
}

Copy.ai will return marketing copy in each language. The response looks roughly like this:

Copyjson
{ "variants": [ { "language": "en", "copy": "Introducing our new feature..." }, { "language": "es", "copy": "Presentamos nuestra nueva función..." }, { "language": "fr", "copy": "Découvrez notre nouvelle fonctionnalité..." }, { "language": "de", "copy": "Wir stellen unsere neue Funktion vor..." }, { "language": "ja", "copy": "新機能をご紹介します..." } ]
}

Now loop through each language variant and send it to Nsketch AI for image generation. Add a Loop node in n8n:

CopyNode: Loop
Input: variants array from Copy.ai response
For each variant: - Store language code - Store copy text - Pass both to next node

Inside the loop, add an HTTP Request node to Nsketch AI:

CopyNode: HTTP Request (POST)
URL: https://api.nsketch.ai/v1/generate
Headers: Authorization: Bearer YOUR_NSKETCH_API_KEY Content-Type: application/json Body:
{ "prompt": "Professional product mockup showcasing: {{ $node['Loop'].json.current.copy }}. Style: clean, modern, minimal. Language context: {{ $node['Loop'].json.current.language }}", "model": "nsketch-visual-pro", "format": "png", "dimensions": "1920x1080", "quantity": 2
}

This generates two visual assets per language variant. The API response includes image URLs:

Copyjson
{ "images": [ { "url": "https://cdn.nsketch.ai/...", "format": "png", "dimensions": "1920x1080" }, { "url": "https://cdn.nsketch.ai/...", "format": "png", "dimensions": "1920x1080" } ]
}

Save everything to a folder. Add another HTTP Request node (or use Dropbox/Google Drive native nodes):

CopyNode: Google Drive Create Folder
Folder name: "{{ $node['Google Drive Read File'].json.filename }}_assets_{{ now() }}"
Parent folder: /Marketing Assets

Then save the copy and images:

CopyNode: Google Drive Create File (for copy)
Folder ID: From previous node
File name: "{{ $node['Loop'].json.current.language }}_marketing_copy.txt"
File content: "{{ $node['Loop'].json.current.copy }}"

CopyNode: Loop (nested, for images)
For each image in response: Node: Google Drive Create File Folder ID: Same as above File name: "{{ $node['Loop'].json.current.language }}_hero_image_{{ iteration }}.png" File content: Download image from URL and save as binary

Finally, notify your team:

CopyNode: Slack Send Message
Channel: #marketing
Message: "✓ Marketing assets generated for product spec '{{ $node['Google Drive Read File'].json.filename }}'. Check the folder: /Marketing Assets/{{ $node['Google Drive Read File'].json.filename }}_assets_{{ now() }}"

Deploy the workflow and test it with a sample product spec. The entire process should complete in 2-3 minutes.

The Manual Alternative

If you prefer more control over the output, or if your copy requires heavy customisation based on regional market dynamics, you can trigger the workflow but require manual approval before Nsketch generates images. Add a Wait for Webhook node after Copy.ai returns results. This pauses the workflow and waits for your marketing manager to review the copy, make edits if needed, then send a webhook signal to continue. The copy goes to a Google Sheet for review, and once approved, the workflow resumes and sends the final copy to Nsketch. This adds a human checkpoint but still eliminates the repetitive work of manually writing five versions and coordinating with designers.

Pro Tips

Watch your Copy.ai token usage.

Each language variant consumes tokens, and five languages means your costs scale quickly.

Start with two or three languages for testing, then expand once you understand your token burn rate. Set monthly budget limits in your Copy.ai account to avoid surprises.

Rate-limit Nsketch API calls.

If you're generating images for many language variants, Nsketch may throttle requests. Add a 2-3 second delay between image generation requests using n8n's delay node. This prevents hitting API limits and keeps your workflow reliable.

Cache Copy.ai responses.

If the same product spec gets re-run (for tweaks or corrections), store the Copy.ai output in a database or Google Sheet. Check for duplicates before sending requests again. This saves money and speeds up re-runs.

Implement error handling for missing files.

If someone uploads a file that's corrupted or in an unsupported format, n8n should catch it and send an error message instead of failing silently. Add a Try/Catch node after the file read step.

Store generated assets with metadata.

Tag each set of generated assets with the product spec filename, generation date, and language. This makes it trivial to find what you need later and track which specs have already been processed.

Cost Breakdown