document-extraction

You can extract text from PDF and Office documents in Docker without pip by parsing the internal XML structure of .docx and .xlsx files using only Python standard library ZIP and XML modules. For PDFs, it falls back to external tools or alternate workflows when libraries are unavailable.

Yes, you can read .docx and .xlsx files using only the Python standard library. The Skill directly parses the underlying XML format of Office documents by unzipping the file structure with built-in ZIP and XML parsing tools, requiring no third-party libraries.

Extracting text from Office documents without external libraries works by treating .docx and .xlsx files as ZIP archives. The Skill unpacks the archive and parses the raw XML inside to pull readable text and table data, completely bypassing the need for specialized parsing packages.

The best way to extract table data from Excel files in an offline system is using Python's built-in XML and ZIP parsers to directly read the .xlsx file structure. This approach requires no internet access or package installation, retrieving table data from the document's internal XML.

No, this document extraction approach does not parse PDFs the same way as Office formats. While .docx and .xlsx files are parsed using standard library XML and ZIP tools, PDF text extraction relies on falling back to external tools or alternate workflows when direct parsing fails.

The limitation of extracting PDF text without specialized libraries is that standard library tools cannot directly parse PDF structures. The Skill must fall back to available external tools or alternate workflows when direct PDF text extraction is not possible in the constrained environment.