NEW YORK, United States – 11th June 2026 – Airbrush today launched a new service that combines a photo enhancer and an image extender designed to enlarge images while preserving edge detail, texture, and overall visual fidelity for print and digital use.
The service applies deep learning-based single-image super-resolution methods to analyze low-resolution inputs and generate high-frequency image detail consistent with real-world textures. Rather than relying on traditional interpolation methods that average nearby pixel values and produce soft, smeared results, the Airbrush service processes images through neural networks trained on extensive image pairs so that enlarged outputs retain sharper edges, more realistic skin tones, and clearer fabric and surface textures.
Airbrush built the offering to reflect practical constraints photographers and content teams encounter when original capture resolution is limited. The service supports common enlargement scales used in production workflows, including 2x and 4x upscales that preserve usable detail for product photography, portraits, and social media assets, as well as larger upscales where subject matter and background simplicity influence outcome. Guidance baked into the processing emphasizes starting from the highest-quality available source file and saving upscaled results in formats that preserve detail; PNG is recommended for maximum fidelity while high-quality JPEG exports are retained for web-oriented use.
Noise reduction, sharpening, and artifact mitigation are integrated components of the workflow so that enlargement does not simply amplify existing imperfections. The Airbrush service evaluates each image holistically and applies targeted corrections for low-light noise, compression artifacts, and minor motion blur prior to and during the upscaling step. For scanned archival photographs, the workflow includes options for addressing scratches, fading, and color shifts that would otherwise be magnified by enlargement.
Print-oriented features include the ability to target a final DPI for large-format output so that pixel generation aligns with standard print requirements. This calculation translates the desired physical print dimensions and DPI target into the precise pixel dimensions required, simplifying preparation for canvas, billboard, and photographic print production.
Airbrush positioned the product to serve a range of professional and commercial use cases. Ecommerce sellers who must meet platform size requirements can increase existing product images without a reshoot. Real estate photographers can upscale older or lower-resolution photographs for listing materials. Wedding and portrait photographers can produce printable gallery assets from images captured at smaller sizes. Marketing teams working with archival assets and social media managers converting web-sized images for high-resolution campaigns are included among intended use scenarios.
The service is offered with deployment options suitable for different workflows, including browser-based processing for occasional or one-off needs and desktop batch processing for photographers and designers managing large volumes. Controls address maximum output resolution, subject-specific enhancement modes, and the degree of AI-driven sharpening so that results can be adjusted toward natural or more assertive rendering depending on the project.
About Airbrush
Airbrush develops image processing services and tools for digital creators, photographers, and commerce professionals. The company focuses on applications that apply machine learning to photo editing tasks such as upscaling, noise reduction, and archival restoration. Airbrush products are designed for integration into editorial, ecommerce, and print production workflows.
MEDIA DETAILS
Contact Person: Media Relations
Company Name: Airbrush
Email: partnership@airbrush.com
Website: https://airbrush.com/