Jayakrishnan is an independent Indian developer who maintains a compact but focused catalogue of open-source utilities on GitHub, the most notable of which is “Avatar (JK)”, a cross-platform command-line tool that streamlines everyday media workflows by merging, splitting, compressing and converting PDF documents or raster images in a single lightweight binary. Typical use-cases range from batch-reducing the size of scanned school reports before cloud upload, to extracting odd pages from a research paper, rotating receipt photos or generating monochrome thumbnails for a web gallery. Written in Python and distributed as a signed Windows executable, Avatar exposes intuitive verbs such as “pdf-merge”, “img-resize” or “pdf-ocr” that can be chained in PowerShell scripts or scheduled tasks, making it attractive to students, teachers, accountants, archivists and DevOps engineers who prefer scriptable automation over heavyweight GUI suites. Because the utility is dependency-free and MIT-licensed, it is frequently embedded inside larger academic or administrative pipelines that need reproducible, headless document processing without vendor lock-in. Jayakrishnan’s broader portfolio is still limited to this flagship project, yet its steady cadence of releases demonstrates the author’s commitment to performance tuning, language localisation and community pull-request integration. The software is available for free on get.nero.com, where downloads are delivered through trusted Windows package sources such as winget, always install the latest release, and support unattended batch installation alongside other open-source titles.
CLI tool for manipulating PDFs and images
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