Aisets
A locally-preferred image material library audit tool that supports duplicate detection, image optimization, semantic search and AI canvases.
Audit and cleanup Duplicate item detection-Identify files/folders that are identical or visually very similar in any folder structure. Security optimization-Preview capacity savings before conversion; detect oversized raster images, bulky GIF files, missing responsive versions, and format conversions that significantly increase file size. Detection of unused files-For code projects, you can identify resource files that are not referenced anywhere. This feature also takes into account the type of project to avoid misjudgments of resource packages and libraries. Preview → Confirm → Apply-Every destructive operation is reviewed again; files are re-examined after application to ensure that outdated preview results are rejected. AI metadata AI tags-include categories, descriptive tags, scene hints, facial/language feature information, and translated text descriptions. AI OCR technology-It can extract text content from screenshots, emoticons, product pictures, documents and pictures in multiple languages. Semantic search-Find images based on specific intent (such as "login interface","receipt photo","old hero banner", etc.), not just based on file names. Content-aware filter-combines factors such as file size, OCR text recognition results, artificial intelligence classification, label information, whether files are duplicate, and optimization potential to form a reusable filter. AI Canvas Visual workspace-You can collect, compare, mark and organize resources on an infinite canvas. Agent-driven layout design-You can request Codex CLI, Claude Code, Pi, Cursor, Gemini, or Copilot CLI to assist in positioning various elements, adding annotations, and creating different versions. Reviewable output-Use interface screenshots as the basis for cleanup, design review, or content review. From the beginning of design, we have adhered to the concept of "putting local needs first" Run on your machine-Unless you explicitly point AI services to an external provider, your data will never leave your device. You can bring your own AI-related tools: local OpenAI-compatible running environments (such as Olama, LM Studio), installed proxy CLI tools, or use other compatible cloud service providers. No need to login, no need to transfer data, and no need to be restricted by SaaS services.
