Solution Overview
We build custom OCR (Optical Character Recognition) pipelines to transcribe scanned bank statements, customs manifests, logistics bills, and reports into clean, structured tables.
Our OCR systems combine layout segmentation with text translation models. We process images, extract key-value data, and export clean JSON structures.
Common Friction Points
Wasted hours manually typing data from paper printouts
OCR errors from poor formatting on scanned layouts
Unstructured PDF documents containing tables that NoSQL can't read
Core Benefits
- check_circle10x speedup in document transcription processes
- check_circlePrecise cell-by-cell extraction from complex data tables
- check_circleFully automated file sorting and naming
Recommended Technologies
Key System Features
Feature 01
Custom layout parsing models trained on specific form formats
Feature 02
Tabular extraction modules sorting grid data to Excel sheets
Feature 03
Multilingual text recognition support
FAQs
Answers to common solution queries
What is AI OCR?expand_more
AI OCR goes beyond simple character reading, using machine learning to understand the document layout, tables, and context.
Can it extract data from bank statements?expand_more
Yes. Our models extract tabular rows (date, description, amount) from multi-page PDFs and save them to CSV tables.