DataSieve 2.0 is an application designed to extract structured data from unstructured text, files, and archives, transforming it into clean, usable data within seconds. It supports various input formats including text, PDFs, EPUBs, CSV, JSON, and Word files, allowing users to extract multiple data types like emails, phone numbers, URLs, and dates in a single scan. All processing is done locally on the device, ensuring privacy with no cloud dependency or tracking.
DataSieve 2.0
Extract structured data from text, files and archives.
DataSieve 2.0 Introduction
Key Features
- Extract multiple data types simultaneously (e.g., emails, phone numbers, URLs, dates)
- Support for various input formats including PDF, EPUB, CSV, JSON, Word files, and archives
- Local processing with no cloud or tracking for enhanced privacy
- Define and save custom extractors for personalized data patterns
- Drag and drop functionality for files and folders for easy use
Use Cases
- Developers extracting data from logs, code comments, or configuration files for analysis
- Analysts cleaning and organizing data from reports, documents, or spreadsheets to streamline workflows
- Researchers pulling key information from academic papers, datasets, or text sources for insights
- Writers gathering contact details, references, or dates from large text files for content creation
- Startups processing customer feedback or documents to quickly extract actionable data for decision-making
Why Startups Use It
Startups often deal with large volumes of unstructured data from sources like customer feedback, documents, and files, requiring quick extraction of key insights to drive decisions. DataSieve enables them to efficiently extract emails, dates, URLs, and other data types, saving time and reducing manual effort. Additionally, its local processing ensures data privacy and security, which is critical for startups handling sensitive information without relying on external cloud services.
Alternative Options
Datastripes Lens, DataStreams.ai, Tot 2.0
Frequently Asked Questions
Is my data sent to the cloud when using DataSieve?
No, all data processing is performed locally on your device, with no data sent to the cloud, ensuring privacy and security.
What file formats does DataSieve support for input?
DataSieve supports text, PDF, EPUB, CSV, JSON, Word files (DOCX), and various archives like ZIP, among others.
Can I create custom data extraction patterns in DataSieve?
Yes, you can define and save your own custom extractors to extract specific data types tailored to your needs.
On which platforms is DataSieve available?
DataSieve is available on iPhone, iPad, and Mac, as indicated in the product information.
How does DataSieve handle privacy and data security?
It runs entirely locally with no cloud processing, and only collects non-identifiable diagnostic data as per the privacy policy.
Alternative Tools
More About DataSieve 2.0
PricingPaid
Category DescriptionTools to boost personal and team productivity, covering task management, collaboration, notes, automation, and workflow optimization.
Listed DateJul 06, 2026
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