Parseflow

Parseflow

ParseFlow is a native macOS app for extracting structured data from PDFs using local AI models. You define what fields to pull, drop in your documents, and export the results without sending anything to the cloud.

The workflow has three steps: build a reusable schema in a visual editor, batch process up to 100 PDFs at once, then review extractions side by side with the original file before exporting to CSV, JSON, or Excel. Scanned PDFs are handled with Apple's Vision framework for OCR, and fillable forms are supported alongside standard text documents.

Privacy is the core pitch. Processing runs on-device via Gemma 3 and llama.cpp with Metal GPU acceleration. The site states there is no cloud upload, no telemetry, and no network activity during document parsing. After a one-time model download of about 3GB, the app works fully offline.

ParseFlow targets professionals in accounting, legal, healthcare, banking, and government who need document automation without exposing sensitive data. It is a one-time purchase at €17.99 with no subscription or per-page fees, and it requires macOS 13+ on Apple Silicon with at least 8GB RAM.

Top Features:
  1. Build custom extraction schemas in a visual editor for invoices, receipts, contracts, and other document types

  2. Batch process up to 100 PDFs at once with real-time progress in the background

  3. Review extracted fields side by side with the original PDF and edit values before export

  4. Ask questions about any PDF in plain language with on-device chat that does not save sessions

  5. Export results to CSV, JSON, or Excel, with support for native text PDFs, scanned OCR, and fillable forms

Pros:
  1. One-time purchase with no subscription, per-page fees, or usage limits.

  2. Documents stay on your Mac, which suits sensitive legal, healthcare, and financial workflows.

  3. Works offline after the initial model download.

Cons:
  1. macOS only on Apple Silicon; not available for Windows or Intel Macs.

  2. Requires about 4GB of disk space and 8GB RAM minimum for the app and local AI model.

FAQs:

Is ParseFlow really private?

Yes. ParseFlow runs entirely on your Mac. PDFs are processed by a local AI model using Apple Metal GPU acceleration. The site states that no data is uploaded to any server, there is no telemetry, and there are no network calls during document processing.

Do I need an internet connection to use ParseFlow?

Only for the initial AI model download of about 3GB on first launch. After that, ParseFlow works completely offline.

What AI model does ParseFlow use?

ParseFlow uses Google's Gemma 3 multimodal model, running locally via llama.cpp with Metal GPU acceleration on Apple Silicon Macs.

Can I install ParseFlow on multiple Macs?

Yes. After purchase, you can install and use ParseFlow on any of your personal Macs with no extra license restrictions listed on the site.

What are the system requirements?

ParseFlow requires macOS 13 (Ventura) or later, Apple Silicon (M1, M2, M3, M4 or later), at least 8GB RAM, and about 4GB of disk space for the app and AI model.

Category:

Pricing:

Paid

Tags:

data extraction
document parsing
automation
AI
OCR
PDF extraction
macOS
local AI
privacy
offline processing

Tech used:

Next.js
Tailwind CSS
Ruby
Google Analytics
Google Tag Manager
Vercel

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