Upload your Excel or CSV product data, compress and host your images, map every column to Shopify's schema — and export a Shopify-ready CSV in one guided pipeline.
Three purpose-built tools that work together in a seamless, project-based workflow — from raw product data to a Shopify-ready import file.
Every migration is tracked as a project with a clear pipeline. Choose whether to include images or skip straight to product mapping.
Full breakdown of what happens at each stage of the pipeline.
| Step | Action | Tool | Output | Required? |
|---|---|---|---|---|
| 1 · Create Project | Name project, choose image mode | Dashboard | Project record + pipeline | Required |
| 2 · Upload Images | Drag-drop files or select folder | Image Compressor | Images uploaded to server | With Images only |
| 3 · Compress | Set quality, format, dimensions | Image Compressor | Optimized images on server | With Images only |
| 4 · Confirm Path | Auto-copied to uploads folder | Image Compressor | Server path for image URL prefix | Auto |
| 5 · Upload Spreadsheet | Drag-drop .xlsx / .xls / .csv | Product Mapper | Headers parsed, preview loaded | Required |
| 6 · Configure Meta Fields | Choose Yes/No, set count and names | Product Mapper modal | Meta field rows added to mapper | Optional |
| 7 · Map Columns | Drag columns, set separators | Product Mapper | Column mapping state | Required |
| 8 · Generate CSV | Click Generate button | Product Mapper | Shopify-ready CSV download | Required |
Before mapping products, compress and host all your product images. The compressor accepts individual files, multi-file selections, or entire folder uploads via drag-and-drop. After compression, images are automatically copied to your project's uploads folder and the server path is pre-filled in the Product Mapper.
After uploading images you may want to remove duplicates, unwanted files, or incorrectly uploaded assets. The Image Cleaner lets you point it at any server folder, scan all images (recursively or flat), preview them with metadata, select which ones to delete, and permanently remove them in bulk.
The core of AutoShopify. Upload any Excel or CSV file and map your column names to Shopify's 23-field product schema. Auto-detection matches obvious columns instantly. Everything else is fully customizable — combine multiple columns, add custom separators, prefix image URLs, and add unlimited Shopify meta fields.
product.metafields.custom.* columns with a guided modalEvery generated CSV contains these 23 fixed Shopify columns, followed by any meta field columns you configured.
When you open a spreadsheet in the Product Mapper, a modal asks whether you want to map Shopify meta fields. If you say Yes, enter a count and give each field a suffix name. The prefix product.metafields.custom. is fixed and prepended automatically. Names are always lowercased and only allow letters, numbers, and underscores.
Create your first project in seconds. No setup required — just open the app, name your migration, and follow the pipeline.