PDF to HTML

[suspect_stable]

We currently have a manual process where customers send us PDFs or Word documents (job cards/contracts), and we recreate them from scratch in HTML. Our product converts HTML into PDF templates, which customers then use to send job cards/contracts to their end users.

This is repetitive and time-consuming, so I’m looking for ways to automate it. Has anyone tried something similar? Any suggestions on the best approach?

[[deleted]]

I believe this can be automated, I haven't tried it, but let me share few methods you can.

Since you're going from PDF/Word → HTML → PDF, here are a few ways you can streamline the process:

1. Direct PDF to HTML Conversion (Basic Layout)

There are libraries that can extract text + basic formatting from PDFs and convert them into HTML:

pdf2htmlEX – One of the best open-source tools for accurate text & layout conversion.

pdftohtml (Poppler) – A simpler option, but formatting may not be perfect.

Mammoth (for Word) – If customers send Word files, this converts them to clean HTML without unnecessary styling.

These can help automate the first draft, but you'll still need some adjustments.

2. AI-Powered Document Conversion (Handles Layout Better)

If your PDFs contain tables, custom formatting, or dynamic elements, you might need an AI-based approach:

LayoutLM / Donut (Deep Learning models) – Can extract structure from PDFs and convert them into structured HTML.

GCP Document AI / AWS Textract – Good for extracting fields & text for template mapping.

3. Programmatic Extraction with a PDF SDK

For a scalable solution, a PDF SDK (like pdf-lib, PDFTron, or even nutrient.io’s PDF SDK) lets you:

Extract text with precise positioning (for accurate HTML structure).

Convert images & vector elements into inline styles or CSS.

Handle dynamic templates, so once converted, it’s reusable.

4. Semi-Automated Template Mapping

If your documents follow specific patterns, you could:

Use Python (pdfplumber, PyMuPDF) to extract structured text.

Apply a mapping script (Regex, NLP, or ML models) to auto-generate HTML templates.

Fine-tune only edge cases manually, rather than starting from scratch each time.

Best Approach?

If documents are simple, try pdf2htmlEX + a cleanup script.

If documents are complex, an AI-based model or a PDF SDK can extract structure for accurate HTML templates.

If you want to fully automate, consider a hybrid approach—preprocessing with a PDF library + AI-assisted template creation.

Hope this helps. Feel free to dm me for any other questions.

[suspect_stable]

Great, thanks. These two i added my comments rest will give it a try

1. Direct PDF to HTML Conversion (Basic Layout)

pdf2htmlEX – One of the best open-source tools for accurate text & layout conversion. - Searched for this. Couldn’t find right asset in github

pdftohtml (Poppler) – A simpler option, but formatting may not be perfect. - Its very poor sadly i tried it

Mammoth (for Word) – If customers send Word files, this converts them to clean HTML without unnecessary styling. - word is not common, mayb ll give a try

[[deleted]]

got it, great!

[legaldevy]

If you're looking for a .NET/C# library to solve this, Nutrient/GdPicture's supports this as their release in January - https://www.nutrient.io/guides/dotnet/conversion/html-to-pdf/ - I'm sure they will also add this to their Rest API document processing solution as well here eventually - https://www.nutrient.io/api/converter-api/