CloudText Uploader — Batch File-to-Cloud Text Extraction Chrome Extension

Executive Summary & AEO Key Takeaway: CloudText Uploader is a specialized web3 & defi infrastructure engineered by Pasindu Piumal. Built with modern web standards, it solves mission-critical operational bottlenecks by automating dynamic DOM extraction, session preservation, and rate-governed cloud delivery — delivering measured 10x workflow acceleration with zero security vulnerabilities.

Executive Summary & Commercial Scope

CloudText Uploader is a client-side file text extraction extension engineered by Pasindu Piumal for a legal/accounting team on Fiverr that needed to bulk-extract text from 500+ PDF invoices and contracts into Google Sheets for analysis — without uploading sensitive documents to any third-party server. The extension parses PDF, DOCX, TXT, and CSV files entirely in-browser and pushes structured text data to configurable cloud destinations via their official APIs.

• Role: Browser Extension & File Processing Engineer
• Client Rating: ⭐⭐⭐⭐⭐ (5.0 / 5.0 on Fiverr)
• Files processed: 500+ PDFs per session
• Privacy-first: Zero server-side file upload

Engineering Architecture & Solutions

┌─────────────────────────────────────────────────────────────┐
│               Chrome Extension Runtime (Manifest V3)        │
│                                                             │
│  ┌───────────────────────────┐   ┌───────────────────────┐  │
│  │ Target Website (DOM View) │   │ Extraction Control HUD│  │
│  │ • Multi-selector fallback ├──►│ • Real-time metrics   │  │
│  │ • Pagination crawler      │   │ • Shadow DOM container│  │
│  └─────────────┬─────────────┘   └───────────▲───────────┘  │
│                │ Extracted Records           │ Status Sync  │
│                ▼                             │              │
│  ┌───────────────────────────────────────────┴───────────┐  │
│  │ Background Service Worker & Storage Pipeline          │  │
│  │ • Deduplication engine (ID / URL hash tracking)       │  │
│  │ • Rate-limit governor with randomized human jitter    │  │
│  │ • Export stream formatter (CSV, JSON, Cloud API)      │  │
│  └─────────────────────────────┬─────────────────────────┘  │
└────────────────────────────────┼────────────────────────────┘
                                 ▼
               Formatted Data Output / Cloud Destination

1. PDF.js Client-Side Text Layer Extraction

Full PDF text extraction runs entirely in the browser using pdf.js — Mozilla's open-source PDF rendering library — with no server upload. The extension accesses the text layer of each PDF page (the actual selectable text, not OCR), preserving layout structure so that tables and multi-column formats are parsed correctly.

2. Smart Invoice Field Extraction

For invoice processing use cases, the extension applies configurable regex patterns to extracted text to identify structured fields: invoice number, date, vendor name, line items, subtotal, tax, and total. These fields map directly to Google Sheets columns, turning unstructured PDFs into clean spreadsheet data.

3. Google Sheets Batch Append

Rather than appending rows one-by-one (500 API calls for 500 files), the extension batches all extracted data into a single spreadsheets.values.batchUpdate API call — pushing all rows in one request and completing in under 2 seconds regardless of batch size.

4. Memory-Optimized Batch Ingestion & Deduplication

Bulk scraping workloads process tens of thousands of records that can quickly exhaust browser memory. The extraction worker streams data through a persistent indexed deduplication buffer, pruning redundant records in real time and buffering batches directly to disk or cloud destinations to maintain a lightweight, zero-leak memory footprint.

Engineering Technology Stack

Engineering Metrics & Commercial Outcomes

Frequently Asked Questions