Extract emails, dates, URLs, and more from any text, file, folder, or archive — fast, accurate, and private.
DataSieve helps you turn unstructured text into clean, organized data in seconds. Drag & drop files/folders or select archives to extract multiple data types at once — whether analyzing documents, cleaning data, or pulling key info, it works instantly and locally.
Perfect for:
Developers, analysts, researchers, writers, and anyone who works with text or documents.
Supported input formats:
Text, JSON, HTML, CSV, XLSX, ODS, Word (DOCX), ODT, PDF, EPUB, ZIP & other archives, folders, and more.
Extractable data:
Emails, phone numbers, URLs, dates, addresses, hashtags, coordinates, credit card numbers, keywords, file paths, and more.
Export options:
Copy as text, JSON, or HTML — or export as CSV, XLSX, DOCX, ODS, or ODT.
Private by design:
DataSieve works entirely offline. No cloud, no tracking, no data sharing — your information never leaves your device.
Use cases:
Extract contact info from text, documents, folders, or archives
Parse data from reports, code, logs, PDFs, or EPUBs
Clean and organize batch files for analysis
Collect structured info for research
Stop searching by hand — DataSieve finds your data for you.
