AI Automation That Kills Manual Data Entry
What if you could turn piles of receipts and invoices into clean digital data — automatically?
In this video, you’ll learn how to build an AI Workflow that kills manual data entry, step by step.
We’ll use an open source multimodal LLM that can see and understand documents, to extract key information and structure it automatically — 100% free and private, running locally but deployable when you need to scale.
You’ll learn:
• When multimodal models outperform traditional OCR
• How AI can extract and structure data from invoices and receipts
• How to design a hybrid workflow with LLMs + human approval
• The full backend setup
• How to customize and scale it for your own use cases
• A full demo: Image → Extracted text → Structured data → Exported output
By the end, you’ll have a private, customizable AI pipeline that automates paperwork — saving time, improving accuracy, and scaling effortlessly.
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Timestamps
0:00 - What We’re Covering
1:06 - What We’re Building
1:46 - Why Multi-Modal and the Problem it Solves
4:00 - App Architecture
4:55 - Logic Breakdown
10:49 - Connecting the Dots
16:57 - Demo
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Hey, I’m Frazer Dourado 👋.
I build AI systems and break down how they really work.
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