DocSort AI: Document Governance System for Secure Business Records
Abstract
In today’s fast-paced digital landscape, both individuals and enterprises struggle to manage an ever-growing volume of identity records, tax forms, and insurance policies across multiple uncoordinated platforms. This system was created to solve this fragmentation by providing an autonomous, highly secure document management ecosystem. Upon upload, the system utilises a local Vision Language Model (VLM) for zero-click categorisation, accurately identifying document types and extracting essential metadata (e.g., names, dates of birth, and unique identifiers) to route files properly into client-specific folders. To prevent cloud storage bloat without compromising text legibility, the platform utilises an adaptive, multi-tiered WebP compression algorithm, dynamically shrinking high-resolution PDFs and images to targeted kilobytes based on their initial size. Furthermore, it prioritises absolute data privacy through Envelope Encryption architecture backed by Google Cloud KMS, ensuring that every user's vault is secured by unique, KMS-wrapped Data Encryption Keys (DEKs). Together, these integrated systems deliver a highly scalable, duplicate-resistant, and confidential archiving solution designed to handle thousands of records natively.
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