ParseFlow is a macOS application that extracts data from PDFs entirely on your Mac, using open-source AI models running locally on Apple Silicon. No cloud, no subscription, and no per-page fees—just a one-time purchase of €17.99. It is designed for privacy-conscious professionals who need to extract structured data from invoices, receipts, contracts, reports, and forms quickly and accurately.
Key features include a visual schema editor that lets you create reusable extraction templates in seconds. Simply tell ParseFlow what data to extract—such as invoice numbers, line items, dates, and totals—and it will automatically parse those fields from any PDF. You can drag up to 100 PDFs at once, and the app processes them in the background using a local AI model (Gemma 3 via llama.cpp with Metal GPU acceleration). No internet is needed after an initial model download (~3GB).
ParseFlow provides a side-by-side view of the original PDF and extracted data, allowing you to review and edit any field inline. Each field shows a confidence score, making the extraction fully auditable. You can export results as CSV, JSON, or Excel with one click. Additionally, the app supports a chat interface where you can ask plain-language questions about any PDF, and the local AI answers instantly without sending data to the cloud.
Built with Tauri, Apple's PDFKit, and Vision frameworks, ParseFlow is fast, lean, and feels native on macOS. It is designed and built in Germany with strict privacy principles, ensuring GDPR-friendly architecture. Your documents never leave your Mac—no telemetry, no data transmission. Whether you're an accountant, lawyer, researcher, or business owner, ParseFlow turns hours of manual data entry into minutes of automated extraction, all while keeping your sensitive information secure.
privacy, conscious professionals, accountants, lawyers, data analysts, business analysts, office managers, freelancers
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