Deck Ripper
Turn banker decks into structured data
Python 3 / Claude API
Coming SoonDeck Ripper extracts structured financial data from investment banking presentations. Feed it a pitch deck, CIM, or project finance model in PPTX or PDF format, and it returns structured data -- deal terms, valuations, financial metrics, and comparable transactions.
Powered by Claude API for AI-driven parsing, Deck Ripper understands the conventions of financial presentations and extracts the data that matters. Output formats include JSON, Markdown, Excel, and CSV for integration into downstream analysis workflows.
Deck Ripper is in active development at Deal Star Labs and feeds extracted deal data directly into the DealStar platform. A public release is planned; early access is available on request.
Key Capabilities
- Financial Parsing
- AI-powered extraction that understands deal terms, cap tables, financial projections, and comparable transaction data from presentation decks.
- Multi-Format Input
- Process PPTX and PDF files from investment banks, advisory firms, and project developers with consistent extraction quality.
- Flexible Output
- Export to JSON, Markdown, Excel, or CSV. Designed for integration into existing financial analysis workflows and databases.
- Deal-Aware Extraction
- Recognizes tax credit structures, ITC/PTC values, placed-in-service dates, and offtake terms specific to energy and infrastructure deals.
- Batch Processing
- Point it at a data room folder and extract every deck in one pass, with a consolidated summary across the portfolio.
- DealStar Integration
- Extracted terms flow straight into DealStar projects and tax credits, turning a 40-slide CIM into structured deal records in minutes.
Want early access to Deck Ripper?
Deck Ripper is not yet publicly available. Get in touch to join the early access list or see a live extraction on one of your own decks.