eRNETSYSTEMS / AUTOMATION / HIGH AVAILABILITY
CASE / DOCUMENT / OCR
PDF / OCR / IMAGE / AUTOMATION

PDF and OCR workflows — one environment instead of multiple manual tools.

An internal web toolkit simplifies PDF operations, conversions, compression and OCR for text and table-oriented documents.

PDFOCROpenCVPythonPHPDocument automation
CONTEXT

Document processing required multiple separate tools and repeated manual file handling.

Users needed both simple PDF operations and more advanced recognition of text and tables from scanned documents.

Instead of using multiple desktop utilities, the process was consolidated into browser-based tools with history and access control.

01 / PDF

PDF operations

Merge, split, rotation, compression and conversion are available from one interface.

  • merge
  • split
  • rotate
  • JPG ↔ PDF
02 / OCR

Document OCR

The OCR layer uses image preprocessing to improve recognition quality.

  • OCR
  • OpenCV
  • preprocessing
  • text
03 / TABLE

Tables and layout

Recognition accounts for document structure and table-like regions.

  • tables
  • borders
  • layout
  • precision mode
04 / HISTORY

History and access

The system keeps processing history for a controlled period and separates user access.

  • 90-day history
  • access code
  • admin panel
  • file control
ENGINEERING TAKEAWAYS

Lessons from document automation.

  • The greatest value comes from combining basic and advanced operations in one workflow.
  • OCR quality depends heavily on image preprocessing.
  • Table-oriented documents need structure-aware handling.
  • An internal web system reduces the need for multiple desktop applications.
AUTHOR / EXPERIENCE

Krzysztof Różycki / eRNET

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