Automation Utilities
PDF Invoice Conversion & eBay Reconciliation Toolkit
Document ETL toolkit that extracts structured invoice data from PDF files, converts it into clean workbook and CSV outputs, and supports reconciliation against eBay transaction records.
Document ETL command view
PDF Invoice Conversion & eBay Reconciliation Toolkit
Invoice PDF extraction, table cleanup, master CSV creation, and eBay reconciliation workbook delivery
Collect
PDF / eBay Files
Extract
Tables / Regex
Normalize
Clean / Shape
Reconcile
Match / Review
Publish
CSV / Workbook
Extraction checks
Parse / Clean / MatchOutput signals
Review previewStructured extraction with fallback handling
Credit memo separation for cleanup review
Aligned for downstream eBay matching
Rows held for manual review and validation
Delivered outputs
Business problem
Invoice PDFs and eBay transaction exports required manual extraction, manual cleanup, and repeated matching work. The raw documents were difficult to reuse directly because tables were not always clean, layouts could vary, and credit memo behavior often needed special handling.
The process needed a more reliable bridge between document files and usable operational data. Instead of copy/paste and workbook-by-workbook cleanup, the workflow needed structured parsing, cleanup logic, and outputs designed for reconciliation and follow-up review.
System built
Built pdfplumber parsing, regex fallback, cleanup logic, per-PDF workbook generation, master CSV outputs, and reconciliation workbook creation for invoice and eBay review workflows.
The toolkit turns semi-structured PDF invoices into cleaner tabular outputs, then pushes those outputs into a more practical financial and operational review flow. That makes the data easier to validate, easier to reconcile, and easier to reuse later.
Review controls
Signals reviewed
The toolkit checks document structure, extraction quality, cleanup behavior, reconciliation readiness, and workbook completeness so the output can support both operational processing and audit review.
Processing workflow
How it works
Collect
Gather invoice PDFs, source folders, and supporting eBay transaction exports into one controlled intake flow.
The process starts with structured input handling so invoice documents and reconciliation references can be processed consistently instead of manually opened one by one.
Extract
Read invoice tables from PDF files with pdfplumber and fallback patterns when the layout is less reliable.
Extraction is designed to work across inconsistent PDF layouts by combining structured table parsing with regex-based backup logic.
Normalize
Clean invoice rows, standardize values, separate credits, and shape line items into reliable tabular records.
Normalization turns raw document text into something usable for downstream workbooks, master CSV outputs, and reconciliation review.
Reconcile
Compare the extracted invoice data against eBay-related transaction records to surface aligned and exception cases.
Instead of treating invoice conversion as a standalone task, the system pushes the data into a financial review flow that makes matching and exception handling easier.
Publish
Generate per-PDF workbooks, master CSV outputs, and reconciliation-friendly workbook artifacts for review.
Outputs are organized to support operational use, manual validation, and easier handoff to stakeholders.
System layers
What the toolkit coordinates
Document intake
Collects invoice PDFs and supporting transaction files into a repeatable starting point for extraction and review.
Parsing engine
Uses pdfplumber table extraction plus regex fallback logic to deal with mixed or imperfect invoice layouts.
Cleanup layer
Standardizes values, separates credit memo behavior, and reshapes the raw lines into cleaner analytical records.
Reconciliation output
Pushes converted invoice data into workbooks and CSV outputs that support eBay matching, exception review, and reporting.
Impact signals
What the workflow improved
PDF table extraction turned into structured rows
Invoice and credit memo cleanup in one workflow
Master CSV generation for downstream review
eBay reconciliation-ready outputs
Cleaner handoff from documents to usable data
Operational value
From document cleanup to usable reconciliation outputs
Less manual extraction
Reduces the need to manually retype or inspect invoice data line by line from PDF files.
Better data quality
Applies cleanup and fallback parsing so outputs are more reliable than one-off copy/paste methods.
Stronger reconciliation
Brings invoice conversion and eBay review into the same system, making it easier to spot mismatches and exceptions.
Reusable outputs
Creates per-document workbooks and master files that are easier to audit, share, and reuse later.
Why this project matters
PDF invoices become more valuable when they are converted into clean, reviewable data instead of remaining trapped in document form.
This project shows how a document-heavy workflow can be turned into a repeatable data operation. PDF parsing, fallback extraction, cleanup logic, and structured output generation all work together to reduce manual effort and improve reliability.
The eBay reconciliation layer adds even more value because the result is not only converted data, but data that can support downstream financial review, exception handling, and decision-making.
Confidentiality note
Visuals and descriptions are sanitized conceptual representations. They do not expose private company data, raw invoice PDFs, customer records, eBay exports, account details, operational screenshots, proprietary workbook formulas, or source-document contents.