financial-document-parser

To extract line items and totals from financial PDFs and images, you provide the document to the agent, which uses OCR and pdfplumber to parse and structure data into formats like JSON or CSV. This handles invoices, receipts, and bank statements.

Yes, you can parse scanned receipts and invoices into structured JSON. The process uses pytesseract for OCR on image files, extracting vendor data, dates, and amounts to generate a structured JSON report with validation and error handling.

Yes, this approach supports categorizing expenses and generating summary reports. It processes extracted data from financial documents to categorize item-level expenses and output summarized reports suitable for accounting and budgeting tasks.

The best way to automate invoice data extraction for a batch of documents is using a script that applies OCR and table parsing to read each file, extracting vendor details and totals to compile a consolidated CSV report.

You do not need pdfplumber and pytesseract to extract data from CSV exports, as CSVs are already structured text. Those dependencies are required for extracting data from scanned images and PDF files using OCR and table parsing.