File Converter

A powerful Dify plugin providing comprehensive local file conversion capabilities. Supports conversion between PDF, Image, Word, Excel, PowerPoint, and Text formats with high-quality output and flexible options.

Version Information

Current Version: v0.0.2
Release Date: 2025-12-28
Compatibility: Dify Plugin Framework
Python Version: 3.12

Version History

v0.0.2 (2025-12-28): Added CSV to Excel, Excel to CSV, and CSV to PDF conversion capabilities with smart layout optimization
v0.0.1 (2025-11-02): Initial release with comprehensive file conversion capabilities

Quick Start

Download the file_converter plugin from the Dify marketplace
Install the plugin in your Dify environment
Start using the various conversion tools immediately

Core Features

PDF Conversions

PDF to Image: Convert PDF documents to various image formats (.jpg, .jpeg, .png, .bmp, .tiff)
PDF to Word: Extract content from PDF and convert to Word documents
PDF to Text: Extract text content from PDF documents

Image Conversions

Image to PDF: Convert one or more images to PDF format

Microsoft Office Conversions

Word to PDF: Convert Word documents to PDF format
Word to Text: Extract text content from Word documents
Excel to PDF: Convert Excel spreadsheets to PDF format
PowerPoint to PDF: Convert PowerPoint presentations to PDF format

Text Conversions

Text to PDF: Convert plain text files to PDF format
Text to Word: Convert plain text files to Word documents

CSV Conversions

CSV to Excel: Convert CSV files to Excel format with automatic column width adjustment
Excel to CSV: Convert Excel files to CSV format, supporting all worksheets
CSV to PDF: Convert CSV files to PDF format with smart layout optimization and automatic column width adjustment

Technical Advantages

Local Processing: All conversions are performed locally without external dependencies
High-Quality Output: Maintains original quality and formatting as much as possible
Multiple Format Support: Comprehensive support for common file formats
Error Handling: Robust error handling with informative messages
Flexible Options: Various configuration options for different use cases
Secure Processing: Files are processed securely without data retention

Requirements

Python 3.12
Dify Platform access
Required Python packages (installed via requirements.txt)

Installation & Configuration

Install the required dependencies:
Install the plugin in your Dify environment following the standard plugin installation process

Usage

The plugin provides various tools for different file conversion tasks:

PDF Conversions

1. PDF to Image (pdf_2_image)

Convert PDF documents to image format.

Parameters:
- : The PDF document to convert (required)
- : Output image format (jpg, jpeg, png, bmp, or tiff, default: png)

2. PDF to Word (pdf_2_word)

Convert PDF documents to Word format.

Parameters:
- : The PDF document to convert (required)

3. PDF to Text (pdf_2_text)

Extract text content from PDF documents.

Parameters:
- : The PDF document to extract text from (required)

Image Conversions

4. Image to PDF (image_2_pdf)

Convert one or more images to a single PDF document.

Parameters:
- : The image files to convert (required, supports multiple files)
Features:
- Supports multiple image formats (.jpg, .jpeg, .png, .bmp, .tiff)
- Converts multiple images into a single PDF document
- Maintains the order of images as they are uploaded
- Each image becomes a separate page in the PDF

Microsoft Office Conversions

5. Word to PDF (word_2_pdf)

Convert Word documents to PDF format.

Parameters:
- : The Word document to convert (required)

6. Word to Text (word_2_text)

Extract text content from Word documents.

Parameters:
- : The Word document to extract text from (required)

7. Excel to PDF (excel_2_pdf)

Convert Excel spreadsheets to PDF format.

Parameters:
- : The Excel file to convert (required)
Features:
- Supports both .xlsx and .xls formats
- Smart layout optimization for different table sizes
- Automatic column width adjustment based on content
- Landscape orientation for wide tables
- Table splitting for excessively wide tables
- Font scaling to fit content within page boundaries

8. PowerPoint to PDF (ppt_2_pdf)

Convert PowerPoint presentations to PDF format.

Parameters:
- : The PowerPoint file to convert (required)

Text Conversions

9. Text to PDF (text_2_pdf)

Convert plain text files to PDF format.

Parameters:
- : The text file to convert (required)

10. Text to Word (text_2_word)

Convert plain text files to Word documents.

Parameters:
- : The text file to convert (required)

CSV Conversions

11. CSV to Excel (csv_2_excel)

Convert CSV files to Excel format.

Parameters:
- : The CSV file to convert (required)
Features:
- Supports multiple encodings (utf-8, gbk, gb2312, latin-1, iso-8859-1)
- Automatic column width adjustment
- Sanitized sheet names to meet Excel specifications

12. Excel to CSV (excel_2_csv)

Convert Excel files to CSV format.

Parameters:
- : The Excel file to convert (required)
Features:
- Supports all worksheets in the Excel file (.xlsx, .xls)
- Each worksheet is converted to a separate CSV file
- Maintains data integrity and formatting

13. CSV to PDF (csv_2_pdf)

Convert CSV files to PDF format with smart layout optimization.

Parameters:
- : The CSV file to convert (required)
Features:
- Smart layout optimization for different table sizes
- Automatic column width adjustment based on content
- Landscape orientation for wide tables
- Table splitting for excessively wide tables
- Font scaling to fit content within page boundaries
- Multiple encoding support (utf-8, gbk, gb2312, latin-1, iso-8859-1)

Notes

All conversions are performed locally without uploading files to external services
Some conversions may require additional libraries that are included in the requirements.txt
Large files may take longer to process depending on their complexity and size
The quality of output files depends on the quality and format of the input files

Developer Information

Author:
Email: [email protected]
License: Apache License 2.0
Source Code:
Support: Through Dify platform and GitHub Issues

License Notice

This project is licensed under the Apache License 2.0. See the LICENSE file for the full license text.

Note: This project was previously licensed under MIT License but has been updated to Apache License 2.0 starting from version 0.0.2.

Ready to convert your files with ease?