The def function will automatically parse PDF files and extract text from them. This is useful for generating prompts from PDF files.

def("DOCS", env.files) // contains some pdfs
def("PDFS", env.files, { endsWith: ".pdf" }) // only pdfs

The parsers.PDF function reads a PDF file and attempts to cleanly convert it into a text format that is friendly to the LLM.

const { file, pages } = await parsers.PDF(env.files[0])

Once parsed, you can use the file and pages to generate prompts. If the parsing fails, file will be undefined.

const { file, pages } = await parsers.PDF(env.files[0])
// inline the entire file
def("FILE", file)
// or analyze page per page, filter pages
pages.slice(0, 2).forEach((page, i) => {
    def(`PAGE_${i}`, page)
})

GenAIScript automatically extracts bitmap images from PDFs and stores them in the data array. You can use these images to generate prompts. The image are encoded as PNG and may be large.

const { data } = await parsers.PDF(env.files[0])

Add the renderAsImage option to also reach each page to a PNG image (as a buffer). This buffer can be used with a vision model to perform an OCR operation.

const { images } = await parsers.PDF(env.files[0], { renderAsImage: true })

You can control the quality of the rendered image using the scale parameter (default is 3).

The PDF format was never really meant to allow for clean text extraction. The parsers.PDF function uses the pdf-parse package to extract text from PDFs. This package is not perfect and may fail to extract text from some PDFs. If you have access to the original document, it is recommended to use a more text-friendly format such as markdown or plain text.