Document Parsing

AI OCR Solutions

Extract structured data from scanned invoices, receipts, and PDFs.

Solution Deep Dive

Kibozera builds AI-powered Optical Character Recognition (OCR) systems. We parse scanned sheets, invoices, custom receipts, and cargo manifests, converting raw images into clean JSON files for ERP databases.

Core Benefits

check_circle

Elimination of manual invoice data entry

check_circle

Instant parsing of multi-page bank statements

check_circle

High-accuracy extraction of tabular database charts from PDFs

check_circle

Automated document classification and sorting

Key Deliverables

  • Custom OCR document parser microservice
  • Structured JSON mapping formats
  • Automated email document intake endpoints
  • ERP data import integrations

Technologies We Use

PaddleOCRPythonTesseract OCROpenCVn8nFastAPI

Target Industries

LogisticsFinanceManufacturingTextiles

Implementation Roadmap

How we go from initial audit to production-grade automation.

01

Sample Gathering

Collecting sample PDFs and scanned images.

02

Layout Mapping

Defining critical fields (date, totals, items).

03

OCR Training

Configuring layouts using PaddleOCR or Tesseract.

04

ERP Wiring

Syncing parsed data fields with database rows.

FAQs

Answers to common service questions

Can the OCR read handwriting?expand_more

Standard OCR is optimized for printed text, but we integrate specialized AI layout models to extract handwritten text.

How do you handle parsing errors?expand_more

We configure validation scripts (e.g. check if column subtotals match the total). If data is flagged, the bot alerts a manager for review.