You will get Build Intelligent Invoice OCR & Document AI System for Business Automation
Project details
I build production-ready Invoice OCR and Document AI systems designed for real business workflows—not experimental demos.
This project focuses on transforming unstructured invoices (PDFs or images) into clean, business-ready data using a reliable, rule-based approach combined with lightweight OCR. Instead of returning raw OCR text, the system delivers validated outputs, clear decision states (auto-approved, needs review, rejected), and formats that teams can actually use, such as CSV or UI-ready results.
What sets this project apart is the system-level thinking behind it. Each solution is built with a canonical data model, explicit business rules, and graceful failure handling to ensure accuracy, auditability, and trust.
Whether you need a simple invoice extraction setup or a more advanced document AI workflow, the goal is the same: reduce manual work, avoid false automation, and deliver results that are ready for real-world use.
This project focuses on transforming unstructured invoices (PDFs or images) into clean, business-ready data using a reliable, rule-based approach combined with lightweight OCR. Instead of returning raw OCR text, the system delivers validated outputs, clear decision states (auto-approved, needs review, rejected), and formats that teams can actually use, such as CSV or UI-ready results.
What sets this project apart is the system-level thinking behind it. Each solution is built with a canonical data model, explicit business rules, and graceful failure handling to ensure accuracy, auditability, and trust.
Whether you need a simple invoice extraction setup or a more advanced document AI workflow, the goal is the same: reduce manual work, avoid false automation, and deliver results that are ready for real-world use.
Programming Languages
TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$650
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 5 | 15 | 30 |
Design Customization | - | - | |
Content Upload | - | - | - |
Responsive Design | - | ||
Source Code |
About Ridho
Full Stack AI Engineer LLM Apps, RAG Systems & Production Web Apps
Situbondo, Indonesia - 12:53 am local time
I do both — the AI and the product.
I'm a Full Stack AI Engineer helping small and growing businesses adopt AI — not as a gimmick, but as a real part of how they operate. I've built RAG-powered chatbots that let teams query their own documents instantly, and end-to-end AI web apps that replace hours of manual work.
What I build:
◆ RAG systems & AI chatbots — connected to your docs, data, or knowledge base
â—† Full stack AI web apps with React/Next.js + FastAPI backend
◆ Automation pipelines — OCR, document parsing, and intelligent workflows
â—† LLM integrations & agent systems using LangChain + OpenAI API
◆ Cloud deployment on GCP with Docker — production-ready, not just a demo
Stack:
Python · FastAPI · LangChain · OpenAI API · React · Next.js · TypeScript · PostgreSQL · Docker · GCP
If you're a business that wants to actually use AI — not just talk about it — send me a message with what you're trying to solve. I'll tell you exactly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Ridho can start the project.
Delivery time starts when Ridho receives requirements from you.
Ridho works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review & Scope Confirmation
I review your sample invoices and required fields to confirm scope, extraction logic, and expected outputs before implementation.
OCR & Data Extraction Setup
I configure the OCR pipeline and implement field extraction, normalization, and validation rules based on your invoice structure.