The open-source tool Autolabel can label data using AI, increasing efficiency by 100 times and costing only 1/7 of manual labeling. Autolabel supports using mainstream LLMs (like ChatGPT) for dataset labeling, saving time and costs. For users requiring data privacy, Autolabel offers a low-cost local deployment option. Although it has demonstrated an efficient labeling process in classification tasks, there is still room for improvement in accuracy. Future developments will focus on enhancing labeling quality and expanding application areas to meet the needs of more fields.