DataSieve: Text to Data

Extract emails, dates & more

Free · In-App Purchases

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

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What's New in Version 2.2 - App name update: We've renamed the app to DataSieve What's New in Version 2.1 - Create your own custom extract types: Define and save your own data patterns to extract exactly what you need - Match your system theme: The app now automatically adapts to your device's light or dark mode - Improved data extraction for many types: Bank accounts, BIC/SWIFT codes, phone numbers, and others What's New in Version 2.0 - Read PDF and EPUB files: Extract data from documents and e-books - Drag and drop files and folders: Simply drag files or entire folders into the app to get started - Process ZIP and other archives: Automatically extract and scan all files inside - Extract multiple data types at once: Find emails, phone numbers, URLs, dates, and more in a single scan - General interface improvements: Smoother flow, easier navigation, and a more intuitive experience

The developer, Alberto Malagoli, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Not Linked to You

    The following data may be collected but it is not linked to your identity:

    • Diagnostics

Privacy practices may vary based, for example, on the features you use or your age. Learn More

The developer has not yet indicated which accessibility features this app supports. Learn More

Provider
  • Alberto Malagoli
Size
  • 95.2 MB
Category
  • Productivity
Compatibility
Requires iOS 15.6 or later.
  • iPhone
    Requires iOS 15.6 or later.
  • iPad
    Requires iPadOS 15.6 or later.
  • iPod touch
    Requires iOS 15.6 or later.
  • Mac
    Requires macOS 10.15 or later.
  • Apple Vision
    Requires visionOS 1.0 or later.
Languages
  • English
Age Rating
4+
In-App Purchases
Yes
  • Access for a week USD 0.99
  • Lifetime access USD 5.99
Copyright
  • © 2026 Alberto Malagoli