DataSieve 2.0 (previously TextMine, available at the Mac App Store) is a local-first data extraction tool that turns unstructured text into clean, structured datasets — without sending a single byte to the cloud. Drop in text, a folder of files, or even a ZIP archive, and DataSieve identifies and extracts every email address, phone number, URL, date, financial figure, and more in a single pass. Everything runs natively on your Mac, offline, with no tracking.
How DataSieve Works
DataSieve operates as a Mac application. Paste text directly, drag in files (PDF, Word, Excel, CSV, JSON, HTML, EPUB, plain text), or point it at a folder or archive to batch-process multiple documents at once. Select the data types you want to extract — or define a custom extractor using regex — and DataSieve scans everything in parallel. Results come back in seconds, organized by type, ready to export as XLSX, DOCX, or JSON for downstream use.
Key Features
- 100% offline processing — all extraction runs locally on device, no cloud, no telemetry, no data ever leaves your Mac
- Wide format support — PDF, Word (.docx), Excel (.xlsx), CSV, JSON, HTML, EPUB, plain text, ZIP archives, and nested folder structures
- Multi-type extraction in one pass — emails, phone numbers, URLs, dates, financial data, and more simultaneously
- Custom extractors — define your own regex patterns for proprietary data types (serial numbers, account codes, custom identifiers)
- Batch processing — scan entire folders or archives in a single operation, no need to open files individually
- Flexible export — output to JSON, XLSX (Excel), or DOCX for immediate use in spreadsheets, databases, or reports
- Improved accuracy in v2.0 — better handling of financial data formats and international date/number conventions compared to v1.x
DataSieve Pricing
Source: Mac App Store and Product Hunt launch, verified March 2026.
- Free — available on the Mac App Store with core extraction features included. One-time purchase or in-app purchase for advanced features (pricing shown in App Store at checkout).
Who Should Use DataSieve?
DataSieve is the right tool for anyone who regularly needs to pull structured data from unstructured documents without setting up a cloud pipeline or writing a script. Researchers extracting contact data from academic papers, compliance teams pulling dates and figures from contracts, operations staff processing archives of customer emails, or developers who need a quick local extraction tool before building automation — DataSieve handles all of these in a native Mac app with no configuration required. Its privacy-first local processing makes it appropriate for handling sensitive documents that cannot be sent to cloud services.
