E2M
E
E2M
Overview :
E2M is a Python library capable of parsing and converting multiple file types into Markdown format. It employs a parser-converter architecture, supporting the conversion of a variety of file formats including doc, docx, epub, html, htm, url, pdf, ppt, pptx, mp3, and m4a. The ultimate aim of the E2M project is to provide high-quality data for Retrieval-Augmented Generation (RAG) and model training or fine-tuning.
Target Users :
E2M is designed for developers and data scientists who need to convert various file formats into Markdown, especially for document processing, data cleaning, and model training. It allows users to easily unify different file formats into Markdown for subsequent processing and analysis.
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Use Cases
Convert academic papers from PDF format to Markdown for sharing and discussion on GitHub.
Transform technical documentation from docx format to Markdown for building online help documentation.
Convert website content from HTML format to Markdown for content migration and backup.
Features
Supports parsing and converting various file formats such as doc, docx, epub, html, htm, url, pdf, ppt, pptx, mp3, and m4a.
Utilizes a parser-converter architecture to first parse text or image data, then convert it into Markdown format.
Offers multiple parsers and converters, such as PdfParser, DocParser, DocxParser, PptParser, and UrlParser.
Supports custom configurations, allowing users to select different parsers and converters based on their needs.
Provides API services for convenient integration and usage.
Facilitates model training and fine-tuning by providing data support for RAG.
How to Use
1. Create and activate a Python environment.
2. Update pip to the latest version.
3. Install the E2M library using pip.
4. Select and configure the parser and converter as needed.
5. Utilize the API services provided by E2M or directly call the respective parsers and converters for file conversion.
6. Process the converted Markdown data for further analysis or storage.
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