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invoice-data-extractor-ai-agent-case-study
Learn how an AI agent converts scanned and uploaded invoices into structured fields for ERP or accounting automation.
Invoice Data Extractor – Turn Scanned Bills into Structured Data with AI
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🧾 The Problem
🤖 The AI Agent Solution
⚙️ System Blueprint
📈 Business Wins
💼 Why DivamTech?
4 min read
May 24, 2025
Manual invoice processing is time-consuming, error-prone, and expensive. At DivamTech, we built the Invoice Data Extractor Agent to eliminate bottlenecks in AP/AR workflows and bring structure to unstructured data.
Invoices arrive in various formats: PDF scans, emails, screenshots
Finance teams must manually extract dates, totals, taxes, and vendor info
Manual entry leads to data entry delays and mistakes
Our Invoice Extractor AI agent:
Accepts invoice uploads (PDF, PNG, etc.)
Uses OCR and LLM parsing to extract key fields
Outputs structured JSON data ready for integration
Interface: Upload form
LLMs Used: OpenAI GPT-4o + OCR layer
Output Format: JSON (Vendor Name, Date, GST, Total, Line Items)
Time to Launch: Easy
⏱ Reduces processing time by 90%
💵 Increases accuracy of payable records
🔗 Integrates directly with ERP or finance dashboards
Our invoice agents are fintech-grade, built for speed, compliance, and plug-and-play deployment in finance stacks — from startups to enterprise ERPs.
Want to automate invoice intake and avoid data entry pain?
Let’s digitize your bills the smart way → divamtech.com/contact
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