Gemini Document Processor – Generate Th Summaries from PDF/ePub with AI
Hello HN! I'd like to share Gemini Document Processor, an open-source tool I've developed. This tool uses Google's Gemini AI (their latest API) to create high-quality Thai language summaries from PDF and EPUB files. Key features include: - Support for both PDF and EPUB files - Intelligent chunking for efficient Gemini API processing - Automatic image extraction from documents - Direct integration with Obsidian (export directly to vault) - Smart retry system when errors occur (switches models/increases timeouts) - Real-time progress tracking via web interface I built this tool because I…
In plain words
Gemini Document Processor is an open-source tool that generates Thai language summaries from PDF and EPUB files using Google's Gemini AI. It extracts text and images from documents, breaks content into chunks for efficient processing, and exports results as formatted Markdown files. The tool includes direct integration with Obsidian for saving summaries to a vault, real-time progress tracking through a web interface, and an automatic retry system that adjusts models and timeouts when errors occur.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hello HN! I'd like to share Gemini Document Processor, an open-source tool I've developed. This tool uses Google's Gemini AI (their latest API) to create high-quality Thai language summaries from PDF and EPUB files. Key features include: - Support for both PDF and EPUB files - Intelligent chunking for efficient Gemini API processing - Automatic image extraction from documents - Direct integration with Obsidian (export directly to vault) - Smart retry system when errors occur (switches models/increases timeouts) - Real-time progress tracking via web interface I built this tool because I needed to read many English documents and wanted detailed summaries in Thai. If you frequently read long documents or want to build a knowledge base from multiple sources, this tool could save you significant time. The output is a well-formatted Markdown file with images and metadata, ideal for storing in Obsidian, Notion, or other PKM systems. Try it by cloning the repo and running it with Python (requires a Google Gemini API key). Feedback, suggestions, and contributions are very welcome!
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