pdf-minerv1.0.2

Extract structured text and tables from quarterly earnings reports or financial filings. Use keyword search to locate specific metrics like revenue growth, and tables-only export to capture balance sheets or income statements.

Parse research papers to extract text, tables, and table of contents. Use chunk splitting to feed sections into LLMs for summarization or question answering, and header/footer cleaning to remove page numbers and running headers.

Process industry reports and white papers to extract market data such as growth percentages and currency figures. Leverage the metrics extraction mode to pull quantified insights like 'market size $5B' or 'penetration 23%'.

Convert scanned PDFs (e.g., contracts, historical documents) into searchable text using automatic OCR fallback. Configure thresholds to minimize OCR costs while ensuring high-quality extraction from image-heavy pages.

Compare two versions of a PDF (e.g., revised policy documents, contract drafts) using the diff mode to identify which pages are unique to each version, aiding in change tracking and audit.

Offer automated PDF data extraction to businesses that need to process large volumes of invoices, reports, or forms. Charge per page or per document extracted, with premium tiers for OCR and batch processing.

Build a platform that uses the chunk mode to feed PDF content into GPT/Claude for summarization, question answering, and insight generation. Monetize via subscription plans based on usage (pages processed and LLM calls).

Package the skill with advanced OCR configuration, batch processing, and diff features as a compliance tool for legal and financial firms. Sell site licenses with annual maintenance and support contracts.