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://albemala.me/privacy/