Building a Multi-Agent PDF Table Extractor: Key Lessons Learned

The authors built a PDF table extractor that relies on multiple agents. The project focused on extracting tables from PDF documents. They documented the development process in detail. The team faced several technical challenges during construction. Key lessons from the experience are highlighted in the article. The approach aims to improve accuracy for complex table layouts. Their insights are intended to help others tackling similar problems. The full write‑up is available on the Unstract blog.