Instructor: Code with Wahab Hussain |
Runtime: 50:31 mins |
Students / Views: 365,499
00:00 – AI Receipt Scanner Introduction (What We’re Building)
00:08 – Live Demo of OCR Expense Flow
00:28 – Architecture Overview (Camera → OCR → Expense)
01:02 – Why Tesseract.js for Browser OCR
01:41 – Mobile Camera + File Upload Handling
02:12 – No Backend / No API Design Decision
03:03 – Future Upgrade Path (Capacitor Mobile App)
03:38 – Confirming OCR Engine Selection (Tesseract.js)
04:26 – System Design: Client-Side OCR Pipeline
05:06 – AI Prompting Strategy for Code Generation
06:05 – Tradeoffs: Accuracy vs On-Device Processing
07:09 – Installing Tesseract.js in Angular
07:48 – WebAssembly Explained (OCR Engine Runtime)
08:44 – Web Workers for Performance Optimization
09:25 – Self Hosting OCR Assets for GitHub Pages
10:53 – Service Worker & PWA Configuration Fixes
12:08 – Building OCR Service Layer in Angular
13:37 – How Tesseract Internally Processes Images
15:38 – Text Extraction → Parsing Pipeline
16:54 – Worker + WASM Execution Flow
18:02 – GitHub Pages Deployment Strategy
19:32 – Fixing Base Path & Routing Issues
20:53 – Angular Service Worker Caching Issues
22:02 – Building Receipt Capture Component
23:30 – Reusing Voice UI for OCR Flow
24:47 – Expense Parser Logic Design
26:40 – Camera Preview + Loading States
27:52 – Extracting Amount, Date & Merchant
32:12 – Real Receipt Parsing Edge Cases
35:30 – Dev Server Testing Flow
37:01 – Git Feature Branch Workflow
39:20 – Git Commit + PR Workflow
41:20 – GitHub Pages Build & Deploy
44:00 – Debugging Chunk Loading Errors
47:10 – Fixing Service Worker Cache Problems
49:00 – Final Testing
50:00 – Summary + Next Steps (Play Store Deployment)
In this video, I build a **real-world AI-powered Expense Tracker feature** that can **scan receipts using your phone camera and automatically convert them into expenses** — completely in the browser.
We use **Tesseract.js (OCR engine powered by WebAssembly)** to extract text from receipts without any backend or API calls.
This means:
✔ Everything runs on-device
✔ No server required
✔ No API keys
✔ Fully offline-capable (PWA-ready)
## ⚙️ What We Build
* Camera-based receipt scanning (mobile + desktop fallback)
* OCR text extraction using Tesseract.js
* Smart parsing of:
* Amount
* Date
* Editable expense review screen
* Reuse of existing voice-expense UI system
* Angular service-based architecture
* GitHub Pages deployment with PWA support
## 🧠 Key Concepts Covered
* Browser-based OCR architecture
* WebAssembly in real-world apps
* Web Workers for performance optimization
* Angular state + component reuse patterns
* Service Worker caching issues & fixes
* Git workflow for feature-based development
## 🚀 Why This Project Matters
This is not just a demo — it’s a production-style feature used in:
* Expense tracking apps
* Fintech tools
* AI productivity apps
* Offline-first mobile web apps
You’ll also see real-world challenges like:
* OCR accuracy limitations
* Receipt parsing heuristics
* GitHub Pages caching issues
* Service worker debugging
## 🧰 Tech Stack
Angular • Tesseract.js • WebAssembly • Service Workers • GitHub Pages • PWA
## 🎯 Outcome
By the end, your app can:
👉 Scan a receipt
👉 Extract structured data
👉 Convert it into an expense automatically
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Key Highlights & Overview:
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