DataSieve: Text to Data

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. - Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ - Privacy Policy: https://projects.albemala.me/privacy-policy/