DataSieve: Text to Data
Extract contact info, dates, & more from any text or file
Details
- Target Audience
- DevelopersUX ResearchersTechnical Writers
- Platforms
- Desktop
About DataSieve: Text to Data
I built DataSieve to make it easy to turn messy text or files into clean, structured data, quickly and privately, without relying on the cloud. It’s designed for developers, analysts, researchers, writers, and anyone who works with text. Main features: - Extract emails, phone numbers, URLs, dates, addresses, hashtags, keywords, and more - Works with text, PDF, Word, Excel, JSON, HTML, EPUB, ZIP & other common formats - Export results as text, JSON, Excel, Word, and more - 100% offline — no AI, no cloud, no tracking - Built for speed, accuracy, and privacy
Product Insights
DataSieve: Text to Data is a desktop-based extraction tool that converts unstructured text and various file formats into organized data. It operates entirely offline without the use of AI or cloud services to prioritize user privacy and speed.
- Supports extraction from PDF, Word, Excel, JSON, HTML, EPUB, and ZIP files.
- Operates 100% offline with no cloud tracking or AI-based processing.
- Exports processed results into text, JSON, Excel, and Word formats.
- Extracts specific entities including emails, phone numbers, URLs, and dates.
Ideal for: This tool is ideal for developers, UX researchers, and technical writers needing to perform data analysis or lead generation from local files without cloud dependencies.
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Comments (2)
Extracting contacts, dates, and data from any text or file automatically is a major productivity win. DataSieve handles the messy parsing work so you can focus on the data itself.
Please give it a try and let me know what you think: what you love, what could be improved and what you want me to add next!