# Machine Vision We've already covered how Zipwire Collect simplifies document collection with powerful packs, but here's the real secret weapon: **Machine Learning.** **Effortless Uploads, Smarter Processing:** * **Machine Vision:** Zipwire Collect utilizes cutting-edge Machine Vision technology. When workers upload documents (even via WhatsApp!), Zipwire can analyze them to understand what they are (passport, driver's license, etc.). * **Large Language Models:** We don't stop at just identifying the document. Zipwire's Large Language Models extract key information from the document itself, like names, expiry dates, and ID numbers. * **Bulk Uploads Made Easy:** Need to upload a bunch of documents? No problem! Zipwire can handle bulk uploads from folders, letting us sort through everything at once. * **Pre-Filled Information:** Ever uploaded the same document twice? Zipwire Collect securely stores past documents, allowing us to pre-fill information for future collections. This means faster onboarding for repeat workers and less data entry for everyone. **Faster Response Rates, Reduced Friction:** These Machine Learning features combine to create a smoother, faster onboarding experience: * **Reduced Back-and-Forth:** Zipwire figures out what documents are needed and extracts relevant information, minimizing the need for clarification or additional uploads. * **Faster Processing:** Bulk uploads and pre-filled information streamline the collection process, leading to quicker onboarding times. * **Improved Worker Experience:** A faster, more intuitive process creates a positive first impression for your contract staff. **Zipwire Collect leverages Machine Learning to make document collection a breeze, freeing you to focus on building a strong and compliant workforce.** --- # Agent Instructions: 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: ``` GET https://docs.zipwire.io/zipwire-collect/machine-vision.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.