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Slazzer Infinity Enables Offline Removal of Background Images

Artificial Intelligence (AI) , Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), AI Model, AI-powered Solutions, Digital Transformation, ML Model, Natural Language Understanding (NLU), AI News, Artificial Intelligence News
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Visual Artificial Intelligence leader, Slazzer, unveiled its software combining artificial intelligence (AI) and automation, Slazzer Infinity, for background image removal. Offline removal of images without a limit of numbers, quality, or file size can be done using Slazzer Infinity.

Deep Sircar, Co-Founder at Slazzer, stated “When we saw the demand for offline image processing, we went to the drawing board and mapped out all the functionalities that became Slazzer Infinity. Indeed, according to Statista, revenue in the creative software segment is projected to reach $8,850.37 billion in 2022 and is expected to grow to $10.818 billion by 2026. Slazzer Infinity is tapping into the growing potential of this dynamic marketplace and is carving a niche that has not been explored yet in the industry by combining Automation and AI together to connect workflows offline. This strategy aligns well with user demand for self-hosted photo management and the emerging market segment focusing on offline automation.

Slazzer provides a solution to the overwhelming and monotonous task of background image removal for designers and photographers. The algorithms are delivered via Desktop app, REST API, and Plugins. Users of the Slazzer Infinity program have infinite background elimination automation that can be linked to any offline workflow.

Software that includes features to create transparent, colored or custom backgrounds can be operated on Mac, Windows, or Linux systems. The scaling, cropping, crop margining, etc., can be done using the software. There is no limit to the number of photographs that may be processed, megapixel resolution, or file size, and Infinity works automatically 24 hours a day, 7 days a week with consecutive processing.

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