Hey, have you heard about DocStrange? It’s an open-source Python library that makes document data extraction a breeze. I’m excited to share it with you because it’s packed with features that can save you a ton of time.
With DocStrange, you can extract data from various document formats like PDFs, images, Word docs, PowerPoint, and Excel. The library supports multiple output formats, including clean Markdown, structured JSON, CSV tables, and formatted HTML. Plus, you can specify exact fields you want to extract, like ‘invoice_number’ or ‘total_amount’, and even define JSON schemas for consistent structured output.
What’s more, DocStrange offers two data processing options: Cloud Mode and Local Mode. Cloud Mode provides fast and free processing with minimal setup, and you get 10,000 documents processed for free every month. Local Mode ensures complete privacy, as all processing happens on your machine, with no data sent anywhere. It works on both CPU and GPU, giving you flexibility and control.
To get started, simply install DocStrange using pip and run a command like `docstrange invoice.jpeg –output json –extract-fields invoice_amount buyer seller`. You can check out the GitHub repository for more information and examples.
If you’re tired of manual data extraction or struggling with cumbersome tools, DocStrange is definitely worth checking out. Give it a try and see how it can simplify your document data extraction tasks!