CUSTOM SOFTWARE ARCHITECTURE

Montesino Translation – OCR & Automation Backend System

A powerful backend engine built to automate document analysis, instant pricing, payments, and translation job workflows at scale.

0 API Integrity
0 Avg. Latency
0 Throughput
0 Security

ARCHITECTURAL LOG

REV: 02.4.1

Project Overview

Montesino Translation required a highly automated backend system capable of handling document uploads, instant quotation generation, job workflows, payments, and customer account management with minimal human intervention.

This project focuses entirely on the backend architecture, automation logic, and system intelligence that powers the frontend platform.


Business Challenges

  • Manual quotation processes causing delays and pricing inconsistencies

  • Complex pricing logic based on document type, language pairs, and content density

  • Handling multiple files simultaneously without performance bottlenecks

  • Managing enterprise clients with multiple users under one account

  • Tracking job progress across multiple workflow stages

  • Supporting multiple payment methods, rewards, coupons, and gift cards


Solution Delivered

A robust backend automation system was designed to transform document translation requests into a fully self-service workflow. From file upload to pricing, payment, and job tracking, the system operates with minimal manual intervention while maintaining accuracy and scalability.


Key Backend Features & Implementation

  • Automated Document Processing Pipeline
    Uploaded documents are converted into images, pre-processed for quality enhancement, and prepared for OCR execution.

  • Advanced OCR & Content Analysis
    OCR is performed using external APIs, followed by intelligent content segmentation where images are split into grid blocks (3×3) to analyse text density and structure.

  • Dynamic Pricing Algorithm
    Pricing is calculated automatically based on:

    • Language pairs

    • Word count

    • Page density analysis

    • Document structure
      The system determines page equivalency dynamically, ensuring fair and accurate pricing.

  • Parallel File Processing
    Multiple files can be uploaded simultaneously, with quotation calculations running in parallel and aggregated into a single final price.

  • Workflow-Based Job Management
    Translation jobs move through defined workflow stages (received, processing, assigned, in progress, completed), allowing both admins and customers to track progress in real time.

  • Enterprise Account Architecture
    Each account number represents a company, supporting multiple users with role-based access (super admin, admin, staff).

  • Payments, Rewards & Discounts Engine
    Supports card payments and PayPal, along with:

    • Coupon codes

    • Gift cards

    • Cashback-based reward balances

    • Transaction history and invoicing

  • Notification & Email System
    Automated emails triggered on quotation, payment success, job status updates, and completion.

  • Scalable & Extensible Architecture
    Designed to support additional languages, pricing rules, services, and automation workflows without core rewrites.


Technology Stack

  • Backend: PHP-based application architecture

  • OCR: API-driven OCR processing

  • Automation: Custom algorithms and workflow engines

  • Database: Relational database with structured entities

  • Payments: Card payments & PayPal integrations


Outcome

The backend system transformed Montesino Translation into a highly automated translation platform capable of delivering instant quotations, handling enterprise clients, and managing translation workflows at scale. The solution significantly reduced manual effort, improved pricing accuracy, and enabled faster order processing.

Technical Challenges & Impact.

The Challenge

The primary technical hurdle involved architecting a solution that maintains low-latency performance while handling peak concurrent data throughput during critical operational cycles.

The Outcome

Post-deployment analytics showed a 40% reduction in server response times and a significant increase in user engagement due to the streamlined architectural flow.

Project Info

  • CLIENT ENTITY Mr. P. *****
  • TECHNOLOGY CORE
    HTML CSS JavaScript PHP CodeIgniter Google Translate API Google Vision API Google Business Profile API S3 Bucket

Discovery Context

Need similar architecture?

Initiate Protocol
FAQ

Frequently Asked Questions

Quick answers to common questions about our services and engineering process.

The system converts uploaded documents into images, performs OCR, analyses text density across segmented blocks, calculates word counts, and applies dynamic pricing rules based on language pairs.

Yes. This portfolio entry focuses exclusively on backend automation, OCR processing, pricing algorithms, and system workflows. The frontend platform is documented as a separate project.

Yes. The backend supports parallel processing of multiple file uploads, aggregating results into a single quotation.

Jobs move through predefined workflow stages, allowing both administrators and customers to track progress in real time.

Yes. The architecture treats each account as a company, allowing multiple users with role-based permissions under the same account.

Absolutely. The automation engine is designed to support new services, pricing rules, languages, and workflows without structural changes.

Your Architectural Vision,
Engineered to Perfection.

Whether you're scaling an empire or launching an MVP, our architects are ready to define your technical future.