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PDFTEXTOR LITE – Simple Offline PDF Text Extractor v1.0.0

PDFTEXTOR LITE v1.0.0 is a lightweight desktop application designed to extract text from PDF files quickly and efficiently. It provides a modern, user-friendly interface for batch processing PDFs completely offline with real-time progress tracking, live logs, and instant text preview.

Built with Python, Tkinter, ttkbootstrap, and PyPDF2, PDFTEXTOR LITE focuses on simplicity, speed, and reliability. It supports drag-and-drop file input, multi-file processing, page-limited extraction, and instant export to TXT format.


WINDOWS DOWNLOAD (EXE)

Download the latest Windows executable from:

https://matetools.gumroad.com

  • No Python installation required
  • Standalone Windows executable
  • Fully offline PDF text extraction tool
  • Lightweight and fast performance
  • Simple drag-and-drop workflow

FEATURES

CORE CAPABILITIES

  • 📄 Extract text from PDF files instantly
  • 📚 Batch processing (up to 3 PDFs in LITE version)
  • ⚡ Fast PyPDF2-based extraction engine
  • 🖥 Modern GUI built with ttkbootstrap
  • 📂 Drag & drop PDF support
  • 📊 Real-time progress tracking per page
  • 🪵 Live log output for debugging and monitoring
  • 🧾 Instant text preview window
  • 💾 Export extracted text to .txt file
  • 🚀 Fully offline processing (no internet required)

PDF PROCESSING ENGINE

  • Uses PyPDF2 for reliable text extraction
  • Page-by-page processing system
  • Configurable page limit per file (LITE: 25 pages)
  • Safe extraction with error handling per page
  • Supports multiple PDFs in single session
  • Threaded processing to keep UI responsive

OUTPUT SYSTEM

  • Combined extracted text from all PDFs
  • Optional filename headers in output
  • Clean formatting with section separators
  • UTF-8 encoded TXT export
  • User-selected save location
  • Instant preview before saving

SUPPORTED FORMATS

INPUT:

  • .PDF

OUTPUT:

  • .TXT (plain text export)

USAGE GUIDE

  1. Add PDF Files
    Click "Select PDFs" or drag and drop files into the drop area.

  2. Configure Options
    Enable or disable filename headers in output.

  3. Start Extraction
    Click "Start Extraction" to begin processing.

  4. Monitor Progress
    Watch real-time progress bar, file status, and logs.

  5. Preview Output
    View extracted text in the preview panel.

  6. Save Result
    Click "Save Text" to export output as a .txt file.


EXTRACTION WORKFLOW

  1. PDF files are loaded into the application
  2. Each PDF is processed sequentially
  3. Pages are read using PyPDF2 parser
  4. Text is extracted page-by-page
  5. Progress updates are sent to UI queue
  6. Logs are generated for each page
  7. Final combined text is displayed in preview
  8. User saves output as TXT file

PERFORMANCE DESIGN

  • Multi-threaded extraction (non-blocking UI)
  • Queue-based UI update system
  • Page-limited processing for stability
  • Efficient memory usage for batch jobs
  • Fast sequential PDF parsing
  • Responsive interface during heavy tasks

SAFETY & RELIABILITY

PDFTEXTOR LITE ensures stable and safe processing:

  • Original PDFs are never modified
  • Read-only extraction mode only
  • Thread-safe UI updates using queues
  • Graceful handling of corrupted PDFs
  • Page-level error isolation
  • Safe stop/cancel operation support
  • Memory-efficient batch processing

ERROR HANDLING

  • Detects invalid or unreadable PDFs
  • Skips problematic pages safely
  • Displays page-level error logs
  • Prevents UI freezing during failures
  • Handles empty or scanned PDFs gracefully
  • Safe cancellation using stop control

LITE LIMITATIONS

PDFTEXTOR LITE includes usage limits:

  • Maximum 3 PDF files per session
  • Maximum 25 pages per PDF
  • No OCR support (text-based PDFs only)
  • No advanced formatting preservation
  • Basic export only (TXT format)

INTENDED USE

PDFTEXTOR LITE is ideal for:

  • Extracting notes from PDFs
  • Copying text from eBooks
  • Processing research documents
  • Converting PDFs into editable text
  • Batch text extraction for analysis
  • Offline document processing workflows
  • Quick data extraction from reports

SYSTEM REQUIREMENTS

  • Windows 10 / Windows 11
  • Minimum 2GB RAM recommended
  • Python runtime (for source version)
  • No internet required for operation

UPGRADE TO PRO

Upgrade to PDFTEXTOR PRO for advanced features:

  • Unlimited PDF batch processing
  • OCR support for scanned PDFs
  • Advanced formatting preservation
  • Export formats: DOCX, JSON, CSV, Markdown
  • Folder batch processing
  • Searchable text indexing
  • PDF preview viewer
  • Cloud sync and backup
  • Automation and scripting tools

Website:

https://matetools.gumroad.com


ABOUT

PDFTEXTOR LITE is developed by Mate Technologies, focused on building lightweight, offline desktop utilities for productivity, automation, and document processing.

Website:

https://matetools.gumroad.com

© 2026 Mate Technologies
All rights reserved.


LICENSE

PDFTEXTOR LITE is distributed as commercial software.

License terms:

  • Personal and commercial usage allowed
  • Redistribution or resale as a competing product is prohibited
  • Repackaging or rebranding for resale is prohibited
  • Source modification allowed for internal/private use
  • Compiled executable usage permitted under license

For enterprise licensing or customization, contact the developer.


📷 PREVIEW

PDFTEXTOR LITE Main Interface

PDFTEXTOR LITE Output Preview

About

PDFTEXTOR LITE is a lightweight, offline desktop application for extracting text from PDF files quickly and efficiently. Built with Python, Tkinter, ttkbootstrap, and PyPDF2, it supports drag-and-drop input, batch PDF processing, real-time progress tracking, and instant TXT export. Designed for simplicity and speed, it provides a modern UI and full

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