Manual.to is an AI-powered digital work instruction platform that helps frontline teams capture, create, translate, and share operational know-how in minutes. In many factories, warehouses, field operations, and service environments, critical know-how still lives in PDFs, printed binders, SharePoint folders, or in the heads of experienced workers. When that knowledge is hard to find or out of date, onboarding slows down, mistakes happen, and experts end up explaining the same procedures again and again. Manual.to helps companies turn that know-how into clear, visual, step-by-step instructions that workers can access anywhere. Teams can record a process on a smartphone, upload existing videos or documents, and use AI to help structure the content into easy-to-follow guides with steps, descriptions, images, videos, warnings, confirmations, and translations. Once published, instructions can be shared through QR codes or links, so workers can scan a machine, workstation, product, or training area and instantly open the right guide on any device. When a procedure changes, the guide can be updated centrally, and the same QR code or link always points to the latest version. Manual.to is built for manufacturing, logistics, maintenance, field service, safety, quality, training, operations, automotive, and food and beverage teams. Common use cases include digital work instructions, SOPs, machine setup, changeovers, preventive maintenance, safety procedures, quality checks, onboarding, troubleshooting, cleaning routines, and customer-facing manuals. The platform helps teams onboard employees faster, standardize procedures across sites, reduce repeated explanations, support multilingual workforces, improve safety, and retain expert knowledge before it disappears. Manual.to is used by teams at companies including BekaertDeslee, Aperam, Sioen, Audi, ABB, Microsoft, P&G, G4S, Barilla, CEVA Logistics, Umicore, and others. Founded in Belgium, Manual.to combines AI-assisted content creation with practical frontline usability: the right know-how, at the right moment, in the right language.