I need a Swift-based iPhone app that matches CamScanner’s core workflow. The user points the camera at a document, the app detects edges, straightens perspective, enhances contrast, then runs on-device OCR so the text becomes selectable and searchable. From there, the user can combine pages into a single, shareable PDF. Every scan—both the raw image and the finished PDF—must also be pushed automatically to my Backblaze B2 bucket. I will provide the bucket name and keys; you handle secure authentication, background upload, and simple re-sync if the phone goes offline. Use modern iOS frameworks (Vision, Core Image, AVFoundation) where possible; third-party libraries are fine as long as they’re MIT/BSD or similarly permissive. The code should compile cleanly in Xcode 15, target iOS 17+, and be fully documented so I can extend it later. Deliverables: • Xcode project with readable, commented Swift code • A working IPA for TestFlight distribution • Brief setup notes covering Backblaze credentials, OCR language packs, and any open-source attributions Acceptance criteria will be a TestFlight build that: 1. Captures, detects, and crops a receipt in less than five seconds on an iPhone 12. 2. Produces a PDF under 1 MB for a three-page scan at 300 dpi equivalent. 3. Uploads that PDF to my Backblaze bucket within 30 seconds on a standard Wi-Fi connection and confirms success in-app. If you’ve built similar camera or OCR tools before, let me know, sample links help me decide quickly.