We deliver creative solutions that transform marketing materials in the context of partnership offerings.
Traditional retouching relies on manual exposure balancing, color correction, and time-consuming operations like skin enhancement and imperfection removal. We revolutionize this process through mathematical precision, applying intelligent corrections and regenerating images using cutting-edge AI technology.
This innovative approach enables consistent, scalable, and automated improvements that maintain brand standards while dramatically reducing production time. Our algorithms adapt to each image individually, ensuring premium quality results every time.
AI-powered retouching process
SETUP
Configuration of retouching parameters
TRAINING
Providing maximum number of retouched images in target formats for model training
STANDARDIZATION
Defining enhancement techniques and production processes to achieve target formats
AUTOMATION
Establishing model feeding methods and acceptance/rejection processes
Retouching parameters selection
In our approach, retouching is mainly based on three steps:
Particles
Selection of elements for correction - face, eyes, hair, hands, clothing
Reimagine
How strongly the algorithm should "recreate" the image anew
Blend
Processing influence - how strongly the new image is applied to the original
We select the parameters individually according to the needs of the client and his or her photographs. Their set defines the final style of the retouching.
Precision Subject Recognition
Our AI model intelligently distinguishes between skin, models, and fashion products, ensuring that even with intensive retouching of the model, clothing details and accessory features remain completely unchanged. This advanced recognition technology allows for comprehensive beauty enhancement while preserving the authentic texture, patterns, and intricate details of garments and accessories, delivering flawless results that maintain product integrity.
Intelligent Processing
Our technology utilizes extensive pattern recognition trained on thousands of expertly processed images. This comprehensive learning approach ensures professional-quality enhancement across all product types, delivering accurate form and color representation while safeguarding fine details and preserving superior visual quality.
Image processing relies on noise (input vectors containing image information) from actual photography, making its detection by security systems based on detecting typical AI pixel patterns a straightforward task.
The image files themselves also contain no metadata about source, algorithms used, or parameter values.
Using both techniques allows for maximum confidence in file authenticity.