Archive Tool (ZIP/TAR) – User Guide
Compress files into ZIP/TAR/TAR.GZ/TAR.XZ and extract archives directly in your browser. Supports drag-and-drop, folder packaging (webkitdirectory), and adjustable compression level for ZIP/GZ. No uploads.
Overview
Archive Tool (ZIP/TAR) is a free online tool to compress files and extract archives locally in your browser.
Compress files into ZIP/TAR/TAR.GZ/TAR.XZ and extract archives directly in your browser. Supports drag-and-drop, folder packaging (webkitdirectory), and adjustable compression level for ZIP/GZ. No uploads.
Great for quick packaging, sharing, and unpacking without installing software.
Choosing a format
ZIP: best compatibility; recommended default for sharing.
TAR: packaging only (no compression); good for keeping folder structure.
TAR.GZ: compressed tarball; smaller than TAR, common on Linux/macOS.
TAR.XZ: usually smaller but slower; not as universally supported as ZIP.
Compress (create an archive)
1) Open the Compress tab.
2) Add files (click or drag & drop).
3) Optional: select a folder to keep directory structure.
4) Choose format and (if available) compression level.
5) Click Create Archive, then Download Archive.
Extract (unpack an archive)
1) Open the Extract tab.
2) Drop an archive file or click to select it.
3) Download individual files from the list.
4) Use Reset to start over.
Folders & structure
Folder input keeps relative paths, so nested directories remain intact in the archive.
If you only need to keep structure (not reduce size), TAR is often a simple choice.
Download all
Browsers cannot download a folder as a folder.
“Download All” packages extracted files into a ZIP so you can download everything in one click.
Tips & common mistakes
If an archive fails to extract, confirm it is not corrupted and is a supported format.
For very large archives, performance depends on device memory/CPU—try smaller batches.
If you need maximum compatibility for recipients, prefer ZIP.
Privacy
Local-first: files stay on your device; no uploads are required.
Avoid handling sensitive data on shared/public machines.