Building PDF Pro: A Desktop PDF Reader with Private Local AI Summaries

Описание и применение

PDF Pro – настольный PDF‑ридер на Python с возможностью локального суммирования текста через Ollama, обеспечивающий конфиденциальность и отсутствие облачных API.

Задача

Users need a desktop PDF reader that supports notes, annotations, and AI summarization without relying on cloud APIs, preserving privacy and avoiding costs.

Результат

PDF Pro delivers a feature-rich PDF reader with offline AI summarization, enhancing privacy and eliminating cloud costs.

Рабочий процесс

• Install Python dependencies and PySide6.
• Run PDF Pro (main.py).
• Open PDFs, navigate, annotate, and search.
• Optional: install Ollama and pull a model (e.g., ollama pull qwen2.5:3b).
• Open AI Hub, refresh models, select scope, and generate summaries.
• Copy or save summaries as PDF notes.
• Persist notes, bookmarks, and annotations locally via storage_service.py.
• Use background thread (ai_worker.py) for responsive AI generation.

Доказательства

PDF Pro includes tabbed PDF reading, full-text search, annotations, and optional local AI summaries through Ollama.

Источник

For the AI feature, I chose Ollama instead of making cloud AI mandatory.

Источник

Users can also copy a generated summary or save it directly as a persistent PDF note.

Источник