Building a High-Volume Image Editing Workflow
Streamline your studio operations. Learn how to process, track, and deliver thousands of eCommerce images per week without bottlenecks.
Last Updated: August 5, 2023
Key Takeaways
- Standardize file naming conventions at the camera level to prevent tracking errors.
- Utilize robust DAM (Digital Asset Management) systems for version control.
- Automate file routing between photographers, retouchers, and the CMS.
Breaking the Bottleneck
When an eCommerce studio scales from 100 images a week to 5,000, manual processes break down. Dragging folders across local networks and tracking progress in spreadsheets inevitably leads to lost files, missed deadlines, and duplicated work. A high-volume workflow requires systemic automation.
Establishing Naming Conventions
The foundation of tracking is a bulletproof naming convention established during capture. Barcode scanners should link the physical SKU directly to the RAW file metadata. A standard structure like Season_Brand_SKU_Color_Angle.raw ensures that every system—and every editor—knows exactly what the file is and where it belongs in the catalog without manual verification.
Automated Ingestion and Triage
Implement a hot-folder system. When the photographer completes a set, the RAW files are pushed to a server which automatically applies a base color profile, converts to a workable format (if needed), and routes the batch via API to your outsourced editing team. Upon completion, the edited files are automatically ingested into your QA platform. Human intervention should only occur for creative decisions and QA approvals, never for simply moving files from point A to point B.