Rinkt Document Platform
Turn unstructured documents into actionable, structured data.
The Rinkt Document Platform (powered by DocBot) adds a layer of AI-driven document intelligence to the automation suite. It transforms unstructured data from PDFs, images (JPG, PNG, TIFF), invoices, receipts, confirmation letters and more into clean, structured data — ready to feed your ERP, trigger email workflows, or be passed to any downstream process.
Using a project-based model training system, the Document Platform learns the specific layout of your documents — including complex table extraction — and applies that learning automatically to new documents at scale. Once a model is trained, labelling and extraction become fully automated.
Advanced features like model composition allow multiple document types to be treated as a unified project, while sharing and import tools make it easy to scale across teams and document categories.
Key Capabilities
- AI/ML-powered data extraction from PDFs and images (JPG, PNG, TIFF)
- Support for simple field tags and complex table structures
- Model training with as few as 5 sample documents
- Auto-labelling for rapid processing of new documents at scale
- Model composition to treat multiple document types as one unified project
- Project sharing and tag import for efficient team-wide rollout
How the Document Platform Fits
Document extraction steps can be invoked from any workflow built in Studio, executed by Robots, and orchestrated centrally through the Portal.