A powerful utility for extracting vendor details, line items, and financial totals from digital or scanned PDF invoices into structured formats.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pdf-invoice-parser
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pdf-invoice-parser using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is PDF Invoice Parser?
The PDF Invoice Parser is a developer-centric tool designed to bridge the gap between unstructured PDF documents and structured data systems. As a featured entry in the Openclaw Skills collection, it provides a seamless way to parse financial documents like receipts and invoices using a combination of direct text extraction and Tesseract-based OCR. This skill is essential for anyone looking to automate their accounts payable or expense management workflows by converting messy PDF files into clean, actionable data.
Whether you are dealing with high-quality digital PDFs or grainy scans, this tool ensures that critical information such as invoice numbers, tax amounts, and line-item descriptions are captured accurately. By leveraging Openclaw Skills, developers can build robust data pipelines that feed directly into accounting software, databases, or analytics dashboards without the need for manual data entry.
PDF Invoice Parser Use Cases
- Automating the entry of vendor invoices into accounting software or ERP systems.
- Extracting line-item data from hundreds of legacy PDF scans for financial auditing.
- Building data pipelines that ingest receipts and convert them into structured JSON for mobile apps.
- Batch processing monthly utility bills to track consumption and spending trends via Openclaw Skills.
How PDF Invoice Parser Works
- The user specifies a single PDF or a directory containing multiple invoice documents for processing.
- The system checks the PDF type; digital PDFs undergo direct text extraction for maximum speed and accuracy.
- For scanned images or non-searchable PDFs, the tool triggers an OCR process using Tesseract and Pillow.
- Extracted text is parsed to identify specific fields like vendor name, date, currency, and line items.
- The tool organizes the data into a flat or nested structure depending on the desired output format.
- A final file (CSV, JSON, or Excel) is generated, ready for integration with other Openclaw Skills or business tools.
PDF Invoice Parser Setup
First, ensure you have the necessary Python libraries installed:
pip install --break-system-packages PyPDF2 pymupdf pillow pytesseract openpyxl
You must also install the Tesseract OCR engine on your system:
# Ubuntu/Debian
sudo apt-get install -y tesseract-ocr
# macOS
brew install tesseract
Once dependencies are ready, you can parse an invoice with a simple command:
python3 scripts/parse-invoice.py invoice.pdf --output invoice_data.csv
PDF Invoice Parser Data Schema & Taxonomy
The PDF Invoice Parser produces a consistent schema where each row represents a line item, with header-level information (like vendor name) repeated for CSV/Excel compatibility.
| Field | Description |
|---|---|
| vendor_name | The detected name of the issuing company |
| invoice_number | Unique reference ID for the document |
| invoice_date | The date the invoice was generated |
| line_items | Detailed array including description, quantity, and unit price |
| subtotal/tax/total | Financial breakdown of the document values |
| currency | Detected currency code (e.g., USD, EUR) |
PDF Invoice Parser Advanced Features
- Dual-mode extraction supporting both high-speed text scraping and heavy-duty OCR for scans.
- Recursive directory processing to handle thousands of documents in a single execution.
- Multi-format output support including CSV, JSON, and native Excel (.xlsx) formats.
- Line-item granularity that breaks down complex tables into individual data rows.
- Modular architecture that allows for easy integration into larger Openclaw Skills automation workflows.
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