DataSieve 2.0
Extract structured data from text, files and archives.
- Data Analytics
- MacOS
- Privacy First
✨ AI Summary
DataSieve 2.0 is a desktop application that extracts structured data from various unstructured text sources, including files and archives. It supports multiple data types and export formats, with the option for custom extractors, all processed locally.
Best For
Researchers, Data analysts, Students
Why It Matters
DataSieve 2.0 efficiently transforms unstructured text and files into usable structured data locally on your device.
Key Features
- Extracts multiple data types simultaneously.
- Processes various file formats including PDFs, EPUBs, CSV, JSON, and Word documents.
- Supports exporting extracted data to JSON, XLSX, and DOCX formats.
- Allows users to define custom data extractors.
Use Cases
- A legal assistant can use DataSieve to quickly scan through a large volume of discovery documents (PDFs, Word files) to extract all mentions of specific client names, dates, and case numbers, streamlining the initial review process.
- A researcher analyzing customer feedback from various sources (text files, email archives) can employ DataSieve to automatically identify and categorize mentions of product features, customer pain points, and suggestions, enabling faster sentiment analysis.
- A financial analyst can process a folder of scanned invoices (PDFs) with DataSieve to extract invoice numbers, vendor names, amounts, and due dates, populating a spreadsheet for easier reconciliation and payment tracking.