The ShareGPT4Video series aims to promote video understanding in large video-language models (LVLMs) and video generation in text-to-video models (T2VMs) through dense and precise captions. The series includes: 1) ShareGPT4Video, a dense video caption dataset of 40K GPT4V annotations, developed through carefully designed data filtering and annotation strategies. 2) ShareCaptioner-Video, an efficient and powerful video captioning model for any video, trained on its 4.8M high-quality aesthetic video dataset. 3) ShareGPT4Video-8B, a simple yet excellent LVLM that achieved top performance on three advanced video benchmark tests.