Matcha_strawberry

SignalForge turns an overcrowded camera roll into active memory. Users upload photographs, screenshots, and quick notes they captured because something felt important. SAM isolates useful visual elements and helps repair photographed screens, while Muse Spark understands the complete collection, discovers themes, and organizes it around the user’s intent. SignalForge then produces an editable visual journal, event recap, learning booklet, or source-backed project blueprint with a clear next action. Users keep capturing life normally—SignalForge turns those forgotten captures into something worth remembering, building from, or sharing.