Case Study // pdf-extractor

PDF Table Parser

Automated extraction of unstructured PDF tables into structured datasets.

InputPDF

OutputExcel

Efficiency90%

SpeedFast

DEMO_RECORDING

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02 // Architecture Execution

Developed a Python utility using Pandas and PyPDF2 to identify and parse table structures from unstructured PDFs, exporting high-fidelity data into formatted Excel sheets automatically.

01 // The Problem Context

Manual data entry from PDF financial reports is time-consuming and error-prone, requiring a programmatic extraction method.

System Stack

PythonPandasPyPDF2

core_module.ts

# PDF to Dataframe Extraction
import pandas as pd
def parse_pdf_table(file_path):
    tables = camelot.read_pdf(file_path)
    df = tables[0].df
    df.to_excel('output.xlsx', index=False)

Source Code