Step 2: Set Up Parallel Processing for Image Analysis and Upload

The workflow splits into two parallel branches: one for AI image analysis and one for image hosting.

1. Connect Inbound Webhook Gate to both Image Analysis Engine and Upload Image Host to run in parallel.
2. In Image Analysis Engine, set Resource to image and Operation to analyze.
3. Set Input Type to binary and Binary Property Name to file.
4. Set Text to ={{ $json.body.text }} name of the product: {{ $json.body.product_name }} in this product {{ $json.body.material_type }} fabric used. provide output in json formate.
5. Credential Required: Connect your googlePalmApi credentials in Image Analysis Engine.
6. In Upload Image Host, set URL to https://api.imgbb.com/1/upload and Method to POST.
7. Set Content Type to multipart-form-data and add a body parameter image with Input Data Field Name file.
8. Set query parameters expiration to 600 and key to [CONFIGURE_YOUR_API_KEY].
9. Credential Required: Connect your httpBasicAuth or httpBearerAuth credentials in Upload Image Host.

Step 3: Parse and Map AI Output

Normalize the AI response into structured product fields that can be merged with the image URL.

1. Connect Image Analysis Engine to Parse JSON Script to parse the AI response safely.
2. In Parse JSON Script, keep the default code to strip code fences and parse JSON into output fields.
3. Connect Parse JSON Script to Return Webhook Reply and set Respond With to allIncomingItems.
4. Connect Return Webhook Reply to Map Product Fields.
5. In Map Product Fields, map each field using expressions:
   • data.title → ={{ $json.title }}
   • data.description → ={{ $json.description }}
   • data.tags → ={{ $json.tags }}
   • data.bullet_points → ={{ $json.bullet_points }}
   • data.alt_text → ={{ $json.alt_text }}
   • data.meta_title → ={{ $json.meta_title }}
   • data.meta_description → ={{ $json.meta_description }}

Step 4: Merge Streams and Post to Shopify

Combine the mapped AI fields with the hosted image URL, aggregate the payload, and send it to Shopify.

1. Connect Map Product Fields to Combine Streams.
2. Connect Upload Image Host to Combine Streams.
3. In Combine Streams, set Mode to combine, Join Mode to keepEverything, and Fields to Match to data.
4. Connect Combine Streams to Aggregate Payload and set Fields to Aggregate to include data.
5. Connect Aggregate Payload to Shopify API Post.
6. In Shopify API Post, set URL to https://dcbq8p-1b.myshopify.com/admin/api/2025-07/products.json and Method to POST.
7. Set Specify Body to json and JSON Body to the provided template: { "product": { "title": "{{ $json.data[0].title }}", "body_html": {{ JSON.stringify($json.data[0].description) }}, "vendor": "{{ $('Inbound Webhook Gate').item.json.body.vendor }}", "product_type": "{{ $('Inbound Webhook Gate').item.json.body.product_type }}", "tags": "{{ $json.data[0].tags }}", "published": true, "options": {{ $('Inbound Webhook Gate').item.json.body.options }}, "variants": {{ $('Inbound Webhook Gate').item.json.body.variants }}, "images": [ { "src": "{{ $json.data[1].url }}" } ], "seo": { "title": "{{ $json.data[0].meta_title }}", "description": "{{ $json.data[0].meta_description }}" } } }
8. Add header parameter X-Shopify-Access-Token and provide your Shopify Admin API access token.

Step 5: Test and Activate Your Workflow

Validate the webhook, AI parsing, and Shopify post before going live.

1. Click Execute Workflow and send a test POST request to the Inbound Webhook Gate URL with product fields and a binary file.
2. Confirm Image Analysis Engine returns structured JSON and Return Webhook Reply responds with the parsed payload.
3. Verify Upload Image Host returns a public image URL and that Combine Streams merges both branches.
4. Check Shopify API Post for a successful 201 response and confirm the product appears in Shopify with images and SEO fields.
5. Toggle the workflow to Active for production use.