PDF to Markdown Converter vs Marker
Marker is a powerful PDF-to-Markdown tool built on deep-learning models (Surya OCR). It produces excellent results on complex and academic PDFs — but it is a Python application that wants a GPU (around 4GB VRAM per task) for good throughput.
Side-by-side comparison
| PDF to Markdown Converter | Marker | |
|---|---|---|
| Engine | PDF.js + heuristic serializer | PyTorch deep-learning models |
| Hardware | Any browser, no GPU | GPU recommended (~4GB VRAM/task) |
| Setup | None | Python + model weights + PyTorch |
| Accuracy on complex/academic PDFs | Good on text PDFs | Excellent, incl. math & scanned |
| Privacy | Nothing leaves the browser | Local, but heavier to run |
| Best for | Fast, private, everyday conversions | Large-scale, high-accuracy batch jobs |
Which should you use?
If you process thousands of complex or scanned PDFs and have GPU budget, Marker is hard to beat. If you want an instant, private conversion of a text-based PDF without touching Python or a GPU, use this tool.
Try the browser converter — nothing to install
Convert a PDF nowFAQ
▸Does Marker need a GPU?
Not strictly — it runs on CPU or Apple MPS — but it is designed for GPU and is much faster with one (about 4GB VRAM per task). This browser tool needs no GPU at all.