> For the complete documentation index, see [llms.txt](https://guide.digicust.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guide.digicust.com/features/data-extraction/temporary-storage-documents.md). # Temporary Storage Documents Extracting data from temporary storage documents is a crucial component of Dexter's data extraction feature. These documents contain critical information that is required by customs officials for the clearance of goods, such as the description and value of the goods, origin and destination addresses, and other relevant details that are not available on commercial invoices or other documents. By automating the extraction of data from temporary storage documents, Dexter enables businesses to streamline their customs clearance process, save valuable time and resources, and ensure compliance with import regulations. The software's 98% accuracy rate ensures that businesses can rely on the accuracy of the extracted data, without the need for manual verification. Dexter's data extraction feature from temporary storage documents is highly customizable, enabling businesses to tailor the software to their specific needs. This includes the ability to add custom data points, modify existing data points, and define custom validation rules to ensure the accuracy and completeness of extracted data. Overall, Dexter's data extraction feature from temporary storage documents is a vital tool that enables businesses to improve their overall efficiency and ensure compliance with import regulations. By automating the extraction of data from temporary storage documents, businesses can provide accurate and complete information to customs officials, avoiding potential fines or penalties, and focus on more value-adding tasks. Dexter's data extraction feature simplifies the customs clearance process, streamlines operations, and helps businesses stay compliant with import regulations. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://guide.digicust.com/features/data-extraction/temporary-storage-documents.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.