I have a batch of company reports downloaded from Screener.in in PDF format. Each file contains financial tables that I need captured with complete accuracy and compiled into a single, easy-to-use dataset. Your job is to pull every table—profit & loss, balance sheet, cash-flow, notes, anything laid out in rows and columns—straight out of the PDFs and return it in a structured file. I’m flexible on the final format; an Excel workbook or a clean CSV both work as long as the headers, row labels, and numeric values line up exactly with the source. Use whatever extraction method you trust (Python with Tabula, Camelot, Adobe tools, etc.), just make sure numbers don’t drift, columns stay aligned, and text is not truncated. Where a table spans multiple PDF pages, it should appear as one continuous table in the output. Deliverables • One consolidated spreadsheet or CSV containing every extracted table, clearly separated by sheet or named section. • A brief log listing any tables that proved unreadable or required manual fixes. I will run spot-checks against the original PDFs; values must match 100 %. Let me know how many files you can process per day and what tools you plan to employ so we can get started right away.