image-batch-resizer-tool

## What this project is image-batch-resizer-tool is presented in its README as a Windows batch image resizer: you point it at a folder of images, choose target dimensions, output format and quality once, and it processes the whole queue in a single pass. The stated purpose is to occupy the middle ground between single-file utilities and full photo editors, where resizing is buried behind several menus. The README describes it as a standalone executable — no installer wizard, no runtime to configure, no background services, and no network access required after download. It targets Windows 10 (64-bit) and Windows 11, with 4 GB RAM as a stated minimum and 8 GB recommended for batches above 1000 images. ## Capabilities described - **Bulk processing** — scans a selected folder, filters to supported image types, and builds a queue of hundreds or thousands of files. - **Sizing options** — pixel-exact custom dimensions, percentage scaling, or one-click social/web/print presets. - **Aspect-ratio lock** — on by default, so scaling does not distort subjects; can be disabled for forced dimensions. - **Format conversion** — JPEG, PNG, WEBP and BMP in and out, performed during the resize rather than as a second pass. - **Quality/compression control** — a per-batch slider trading file size against fidelity. - **Filename templating** — prefixes, suffixes and sequential numbering for sorted output. - **Non-destructive defaults** — originals are left untouched unless explicitly overwritten. - **Drag-and-drop queueing** with a live thumbnail preview of the queue before committing. - **Presets** that persist last-used dimensions, format and quality, and can be saved as named combinations. - **Keyboard shortcuts** for opening a folder, running and cancelling a batch, and saving presets. - **Light and dark themes** switchable without restart. - **Summary logging** that reports successes and flags skipped files such as corrupt or unsupported ones. ## Workflow The README outlines a five-stage pipeline: ingest (scan and queue), configure (dimensions, format, quality for the whole batch), process (decode, resize, re-encode, write), verify (log successes and skips), and deliver (output lands in a chosen destination folder). A Mermaid diagram in the README reduces this to Import → Configure → Resize → Encode → Output. Notably, completed files are written as they finish, so a batch interrupted partway through does not lose the files already processed — you can re-run on the remainder. ## Distribution and practical caveats The project is distributed through a GitHub Pages landing page rather than a package registry, and the README repeatedly directs readers to that page as the only supported source, warning against third-party mirrors. It also notes that Windows SmartScreen may flag the binary as being from an "unknown publisher" because it is independently released and re-signed each cycle, and it explains how to proceed past that prompt. Users should weigh a few things the README itself makes visible: - The documentation describes a downloadable executable rather than a build-from-source workflow; no compilation or development setup steps are given. - Because the README anticipates a publisher warning, you are essentially asked to trust an unsigned-feeling binary. Verifying the download path yourself is the sensible precaution. - The disclaimer is explicit that you should back up originals before batch operations and that the maintainers accept no liability for data loss or corrupted output. - The changelog (v2025.3 initial standalone release through v2026.1) is the only version history provided, and there is no commit-level activity information in the README. ## Who it is for The README names photographers clearing memory cards, e-commerce teams preparing catalog images, and developers generating responsive image sets — in short, anyone with a repetitive "resize all of these the same way" task. It is a focused tool: it resizes, converts and compresses, and the README is candid that it deliberately does not attempt to be a general-purpose photo editor. ## License Stated as MIT, dated 2026.