Show your customers what consistency looks like
Build trust with an optimized camera color representation of your products.
The future of camera color calibration
Fully optimized cameracolor calibration
Mojave Color creates custom profiles for Capture One and Adobe Camera Raw, refining how cameras interpret color at capture. With color differences averaging under 0.5 dE00 and a max of 0.8 dE00,
it provides a strong starting point for consistent product imagery.
Automated color checks and pre-shoot qualification
Automated pass/fail checks flag color inconsistencies early, keeping variations below 1.0 dE00. The pre-shoot qualification tool helps photographers identify potential color shifts before capture, reducing post-production adjustments.
Comprehensive color tracking and verification
Mojave Color tracks dE*00 values, camera calibration performance, and team-wide consistency, providing insights to support color optimization. Built-in verification and documentation offer transparency, helping studios and retailers align expectations.
Cost savings through objective color
By optimizing color at capture, Mojave Color minimizes discrepancies before post-production. It helps teams work more efficiently, reducing costly rework, lowering return rates, and streamlining production for long-term savings.
Color correction: A broken industry standard
E-commerce photography still relies on reactive workflows, where inconsistent camera color data and post-production fixes create inefficiencies. The result? Avoidable errors, production delays, and a heavier workload for creative teams.
Lack of reliable color data
Without standardized product color data, studios and retouchers are left guessing. Incomplete SKU definitions and inconsistent sample references make it difficult to align product images with intended colors.
Inaccurate color representation and post-capture correction
Traditional workflows depend on color correction to fix discrepancies after capture, but these adjustments are often subjective. Without a consistent standard, brands face unpredictable variations that impact trust and efficiency.
Creative teams carrying the burden
Without automated checks or verifiable data, color responsibility falls on the creative team, adding unnecessary strain. Misalignment across teams leads to inconsistencies that are difficult to track and correct.
Hidden costs and production delays
When color discrepancies go unnoticed, they result in costly reshoots, production slowdowns, and additional post-processing work. These inefficiencies make it harder to stay on schedule and within budget.
The solution
E-commerce photography has long relied on “Pleasing Color”—a subjective, opinion-driven approach that leaves color up to interpretation.
Mojave Color replaces guesswork with precise camera color calibration, based on objective, quantifiable data. By calibrating and optimizing color at capture, brands can reduce discrepancies, improve visual alignment, and minimize costly returns.
Cost of returns
Retail returns are expected to amount to 16.9% of all merchandise sales for retailers in 2024, with total expenses estimated at $890 billion.
Return rates in apparel
The average return rate for online apparel orders is 24.4%, with 16% of returns attributed to items not matching the product description or images, including color mismatches.