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ParseFlow

Extract data from any PDF on your Mac — no cloud processing

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ParseFlow is a macOS application that extracts structured data from PDFs using open-source AI models running locally on Apple Silicon. It addresses the manual work of copying information from documents by letting users define a schema, batch-process up to 100 PDFs offline, review extractions side-by-side with the original document, and export results to CSV, JSON, or Excel. It also supports asking questions about PDFs in plain language via a local model.

The app includes a visual schema editor for reusable templates, side-by-side review with confidence scores and inline editing, and a results view with filtering, search, and bulk export. It handles native text PDFs, scanned PDFs via OCR, and fillable forms. It uses Gemma 3 running locally via llama.cpp with Metal GPU acceleration, built with Tauri and Apple's PDFKit and Vision frameworks. It requires macOS 13+ on Apple Silicon with 8GB RAM.

ParseFlow is packaged as a one-time purchase with no subscription, no per-page fees, and no usage limits, covering unlimited schemas and future updates for use on personal Macs. A higher-priced edition adds priority support. An internet connection is needed only for the initial AI model download; the app then works fully offline.

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