FlexiData is an open-source Python package designed for processing unstructured data. Currently, it supports PDF extraction with plans to expand to other file types in the future.
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Document Parser: The tool is designed to parse various file types, efficiently extracting text blocks and their metadata. This enables streamlined data extraction and content manipulation across multiple document formats.
- PDF: For detailed extraction of text and metadata.
- Images (JPEG, PNG, BMP): Enables image data and metadata processing.
- EPUB: Converts and extracts content from EPUB files.
- HTML: Parses HTML content for data extraction.
- reStructuredText (RST): Handles conversion and parsing of RST files.
- Rich Text Format (RTF): Facilitates conversion and content extraction from RTF documents.
- DOCX: Allows extraction from DOCX documents, providing access to structured content and metadata.
- Content Chunking: This will enable dividing text into meaningful and manageable pieces for better processing and analysis.
- Data Embedding: Planned to support embedding textual data into vector spaces for advanced data analysis and machine learning applications.
Contributions to FlexiData are welcome! If you're interested in contributing, please read our contributing guidelines.
FlexiData is currently in active development and we are working towards releasing our first version soon.