🔧 GIS & DOCUMENT UTILITY PORTAL

Browser-Native Web Tools

Run operations 100% locally inside your browser. No files are ever uploaded to any server, providing maximum privacy and speed.

⚙️

Universal File Rename Tool

Port of Tool #14. Configure batch renaming rules (prefixes, suffixes, find & replace, text trims, extension changes) with real-time file preview and zipped download.

✂️

Shapefile Vector Clip Tool

Port of Tool #15. Upload an ROI polygon boundary (KML or Shapefile) and a target dataset, perform a Turf.js spatial intersection, view results on the map, and export clipped shapes.

📊

Excel Spreadsheet Merger

Port of Tool #6. Select multiple Excel files, parse their rows in-memory using SheetJS, append them side-by-side or stacked, and download a single merged workbook.

📄

PDF Merger & Splitter

Port of Tool #16. Drag-and-drop multiple PDF files to combine pages, or upload a single document to split it into multiple PDFs based on specific page numbers.

🗜️

Document Compressor

Compress your PDF and Word (.docx) files to a target size entirely in your browser without uploading to any server. (Client-side best effort)

📝

File Format Converter

PDF to Word, Word to PDF. Convert files locally in your browser.

SECURITY & PRIVACY ARCHITECTURE

Browser-Native Geospatial Data Processing

How our client-side toolchain eliminates server uploads, latency, and data leakage for geospatial professionals.

🔒 Zero-Cloud Security

Cadastral revenue maps, boundary polygons, and confidential drone surveys are executed strictly in local RAM. No files, coordinate arrays, or attribute tables are ever uploaded to any external server.

⚡ High-Speed In-Memory I/O

By bypassing network upload and download bottlenecks, multi-megabyte Shapefiles, Excel spreadsheets, and PDF documents are parsed in milliseconds using compiled WebAssembly and Web Workers.

🌐 Standards Compliant

Full interoperability with industry-standard formats: OGC GeoJSON (RFC 7946), ESRI Shapefile binary specifications, OpenXML spreadsheets (.xlsx), and Google Earth KML/KMZ schemas.