Automating Invoice Processing with High-Fidelity OCR
Client
FinTech Solutions Global
Industry
Finance
Impact Deliverables
4 Key Results
Status
Delivered
The Challenge
Processing thousands of non-standard invoices daily was highly manual and error-prone. The client needed to train an advanced OCR extraction model but lacked cleanly structured ground truth data from diverse invoice templates.
Loopernode's Solution
Loopernode ingested 200,000 varied invoice formats (PDFs, scans, mobile photos). Our annotators used specialized bounding box tools to map specific fields (Total, Tax, Vendor ID) to a standardized JSON schema, resolving edge cases like faded text or handwritten notes.
Key Business Results
Quantifiable breakthroughs achieved through Loopernode's dedicated data engineering pipeline.
Structured 200,000 complex invoices into clean JSON data.
Achieved 99.9% accuracy on critical financial fields.
Reduced client's manual processing time by 85%.
Decreased accounts payable error rates to near zero.
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