DocWrangler is an open-source interactive development environment designed to simplify the construction and optimization of data processing pipelines based on large language models (LLMs). It provides instant feedback, visualization exploration tools, and AI-assisted features to help users explore data, experiment with various operations, and optimize their pipelines based on findings. Built on the DocETL framework, it is suitable for handling unstructured data, such as text analysis and information extraction. It not only lowers the barrier to LLM data processing but also enhances productivity, enabling users to make more effective use of LLM capabilities.