DataSieve: Text to Data Apple

DataSieve: Text to Data

Extract emails, dates & more

Features & Capabilities

Extract emails, phone numbers, dates, and more from any text or file. Fast, accurate, and private — DataSieve turns unstructured text into clean 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.

User Growth & Download Statistics

Contact the developer

Chrome-Stats does not own this Apple app. Please use these information below to contact the Apple app developer.
Developed by:
Alberto Malagoli
Apple Apps Store
https://apps.apple.com/in/app/datasieve-text-to-data/id6754284922
Website:
https://albemala.me

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