DataSieve: Text to Data
Extract contact info, dates, & more from any text or file
@albemala
Details
- Target Audience
- DevelopersUX ResearchersTechnical Writers
- Platforms
- Desktop
Discovery signals
How AI and people discover DataSieve: Text to Data on PeerPush
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
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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!