DataSieve 2.0 broadens offline data extraction

This is the right kind of 2.0: it turns a narrow extractor into a genuinely useful document-ingestion tool. The standout value is privacy plus batch processing, which makes it feel more like lightweight ETL than a novelty app.

• –Batch extraction across multiple data types is the time saver here, especially for reports, inbox exports, and research dumps.
• –Local-only processing is a real trust differentiator for sensitive docs and avoids sending raw files to a cloud service.
• –Custom extractors make the app feel extensible enough for recurring analyst workflows, and it could slot into ETL or LLM preprocessing.
• –Early Reddit feedback already called out PDFs, repeated configuration, and multi-field extraction; this release appears to answer those pain points.