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How to Extract Structured JSON/CSV Data from Unstructured PDFs & Scans with AI

Dealing with tabular data trapped inside PDFs, scanned invoices, or unstructured documents can be a major workflow bottleneck for developers and teams.

Instead of writing custom regex or manually parsing layout trees, modern LLMs and document parsing pipelines allow us to extract structured JSON or CSV data in seconds.

The Solution: Siftspindle

I built Siftspindle to simplify document parsing and provide a unified hub for developer AI tools.

Key Capabilities:

  • Automated Data Extraction: Upload PDFs, scans, or images and automatically convert key tabular data into clean, structured JSON or CSV formats.
  • AI Tools Repository: A curated database of 120+ free AI tools categorized for automation, web development, and design.
  • Prompt Engineering Hub: Tested prompt templates for LLMs, Midjourney, and FLUX.

If you're looking for a quick tool to handle automated data extraction or want to explore curated AI developer tools, feel free to check out Siftspindle and share your feedback!

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