Convert PDFs in Python

Python functions that turn PDFs into Word, PowerPoint, EPUB, Excel or CSV, and images, Markdown or Office files into PDFs.

Each writes a new file and returns its path and size, plus what it found (pages, tables, slides or chapters).

Function	What it does	Returns
`to_docx(path, output, pages=)`	Editable Word: headings, bold and italic, lists, tables; OCR for scans	`WordResult`
`to_pptx(path, output, pages=)`	PowerPoint, one slide per page, text as text boxes	`SlidesResult`
`to_epub(path, output, title=, author=, language="en", split="headings"\|"pages")`	EPUB 3 e-book in chapters	`EpubResult`
`extract_tables(path, output, pages=, format="xlsx"\|"csv"\|"json"\|"markdown")`	Tables and vector charts; `output` ends in the format’s extension	`TablesResult`
`from_images(inputs, output)`	JPG or PNG images to PDF, one page each	`Written`
`from_markdown(path, output, page_size="A4"\|"Letter", title=)`	Typeset a Markdown file as a PDF	`Written`
`from_office(path, output)`	Word, Excel, PowerPoint or OpenDocument to PDF (needs LibreOffice)	`OfficeResult`

Examples

Python

import superpdf

word = superpdf.to_docx("report.pdf", "report.docx")
print(word["tables"], "tables")

superpdf.extract_tables("report.pdf", "tables.xlsx")  # one sheet per table
superpdf.extract_tables("report.pdf", "tables.csv", format="csv")
superpdf.to_pptx("slides.pdf", "slides.pptx")
superpdf.to_epub("book.pdf", "book.epub", author="Ada Lovelace")

superpdf.from_images(["page1.jpg", "page2.png"], "scan.pdf")
superpdf.from_markdown("notes.md", "notes.pdf", page_size="Letter")
superpdf.from_office("budget.xlsx", "budget.pdf")                  # needs LibreOffice

All functions are listed on All functions.