I need an iOS app that streamlines our packaging-label inspections. The flow is simple: the user snaps a photo of the label, the app automatically reads three key data points—Número de registro sanitario, Nombre del producto and Lote—through OCR, and then instantly verifies each value against a local database. Core requirements • OCR must run on-device or via a reliable engine such as Google Vision, Tesseract or AWS Textract; I’m flexible as long as accuracy is high and latency stays low. • Basic computer-vision logic should guide users to frame the label correctly before capture (e.g., edge detection or overlay). • After extraction, the app compares the data with our on-device database. If every field matches, show a clear pass screen; if not, highlight the mismatched fields and prompt the user to retake or flag the item. • A lightweight backend layer is still needed to keep the local database up to date—periodic sync from our existing server suffices. • Clean, intuitive UI in Swift or SwiftUI, ready for TestFlight distribution. Deliverables 1. Xcode project with well-documented source code. 2. Local database schema and sample data. 3. README covering setup, tech stack and how to switch between OCR engines. 4. Short video or screenshots demonstrating capture, extraction and validation flows. I value maintainable code, clear naming and prompt communication. If you have prior experience with OCR, computer vision or similar inspection apps, I’d love to see it.