The Challenge
Clearfolio Business Services is the client behind this project. A Dubai business services provider handled invoices, forms, contracts and other operational records. Its work depended on extracting accurate information and maintaining organized records.
Different layouts, poor scans, and unclear or handwritten details made consistent extraction difficult. The client needed faster processing without removing review from uncertain cases.
What ApexCore Digital built
ApexCore Digital combined OCR, natural language processing and machine-learning models to classify documents and extract required fields. A human-review workflow handles low-confidence results before information is accepted.
The application supports document upload, invoice processing, entity extraction, validation and export to Excel or PDF. Elasticsearch enables document search, while AWS S3 stores files. A processing dashboard and audit history provide visibility into the workflow.
How the workflow supports the business
Document handling begins with upload and classification, followed by text and field extraction. Validation and human review address results that require closer attention, while the audit history records processing activity. Search and export functions make the extracted information useful beyond the initial upload. The supported-format qualifier is important: invoices, forms and contracts can vary considerably, and the reported extraction result applies to the formats supported by the solution. The workflow combines automated handling with a review stage for uncertain information.
Reported Results
- 70% reduction in manual data entry.
- 60% faster document processing.
- More than 90% extraction accuracy for supported document formats.
Technology: React, Python, FastAPI, OCR, NLP, machine learning, PostgreSQL, Elasticsearch, AWS S3, AWS.
