ClearCrowds

ClearCrowds is an AI photo cleanup tool for removing crowds, clutter, glasses, shadows and unwanted objects, and for editing text in images. It offers batch editing, web and mobile apps, plus an API, CLI and agent skill.

ClearCrowds is an AI photo cleanup tool that removes unwanted elements from images and retouches what remains. Its core job is taking out people, clutter, emoji, glasses, shadows, dust, reflections and stray objects, then filling the gap with generated background detail. The idea is to skip a full desktop editor and reach a finished picture through purpose-built paths for each kind of fix. The audience is broad but specific. Travelers can strip strangers from a landmark shot while keeping the people they care about. Online sellers can tidy the edges of a product photo before it becomes a marketplace listing or ad creative. Real estate agents can declutter a room, apply virtual staging or warm lighting, and portrait shooters can remove glasses. A text editing feature uses OCR to find words, numbers and dates in an image so they can be replaced without rebuilding the design, which suits posters and event graphics. In practice, a user opens the web editor, uploads a photo and picks a preset such as crowd removal, room declutter or enhance. Batch mode lets a whole set be uploaded, given one cleanup and reviewed together, with a larger canvas on PC and a phone layout that continues the same flow. Mobile apps are listed for iOS and Android. For automation, an API, a command line tool and an agent skill run the same image-aware edits from a script or workflow, for example by passing a photo and a plain instruction like "remove clutter". Among alternatives, ClearCrowds sits between general generative editors and single-purpose object removers. It trades open-ended creative control for narrower presets with before and after examples, which lowers guesswork. The site is candid that results depend on scene complexity, image quality and the size of the removed object, so complicated backgrounds may need a second pass or a different approach.