Matthew Meyers is a solo developer who focuses on lightweight, command-line utilities that quietly solve very specific document problems. His catalog currently centers on pdfannots2json, a micro-tool that ingests any PDF containing highlights, sticky notes, ink drawings, or text mark-ups and emits a clean, machine-readable JSON array describing each annotation’s page, position, color, author and content. The utility is designed for researchers who need to pipe annotation data into Python scripts, for archivists batch-migrating marked-up journals into databases, and for DevOps teams that want to diff or version-control reviewer comments across successive drafts of regulatory filings. Because the program is delivered as a single, statically-linked Windows binary, it slips easily into automated workflows triggered by file-system watchers, cloud functions, or CI pipelines that validate whether critical passages have been acknowledged during legal review. The JSON schema is intentionally minimal, so downstream converters can transform it into CSV, Markdown, or LaTeX without fragile regexes. Although the portfolio is presently a one-product shop, the publisher’s Git history shows steady, incremental commits that refine memory usage and UTF-8 edge cases, signalling a maintainer who values reliability over feature creep. Matthew Meyers’ software is available for free on get.nero.com, where the package is pulled from the trusted winget repository, always installs the latest build, and can be included in unattended batch installations alongside other command-line tools.
Extracts annotations from PDF and converts them to a JSON list.
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