Show HN: Scan-to-vector – rebuild scanned pages as vector PDFs with an AI agent (github.com)

A new AI tool called "Scan-to-Vector" has been introduced, allowing scanned documents such as books, manuals, and charts to be transformed into searchable vector PDFs. This innovative approach not only produces real, searchable text but also intelligently reconstructs diagrams and illustrations as vector paths, ensuring high-resolution clarity at any zoom level. Each reconstruction is methodically validated against the original scan, with an auditing process that logs every change and maintains a ledger for transparency. This development is significant for the AI/ML community as it marks a crucial advancement over traditional Optical Character Recognition (OCR) methods, which often leave underlying data unstructured and difficult to manipulate. Key technical improvements include enhancements in model accuracy—demonstrated by substantial performance boosts in handling complex documents—along with procedural checks that address common pitfalls in prior AI-driven scans, such as misread text and layout issues. The implementation of this skill within AI agents also enables users to automate the document rebuilding process, dramatically speeding up workflows while preserving documentation integrity.