marker

Maintainer: cuuupid

Total Score

1

Last updated 6/13/2024
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Model overview

Marker is an AI model created by cuuupid that converts scanned or electronic documents to Markdown format. It is designed to be faster and more accurate than similar models like ocr-surya and nougat. Marker uses a pipeline of deep learning models to extract text, detect page layout, clean and format each block, and combine the blocks into a final Markdown document. It is optimized for speed and has low hallucination risk compared to autoregressive language models.

Model inputs and outputs

Marker takes a variety of document formats as input, including PDF, EPUB, and MOBI, and converts them to Markdown. It can handle a range of PDF documents, including books and scientific papers, and can remove headers, footers, and other artifacts. The model can also convert most equations to LaTeX format and format code blocks and tables.

Inputs

  • Document: The input file, which can be a PDF, EPUB, MOBI, XPS, or FB2 document.
  • Language: The language of the document, which is used for OCR and other processing.
  • DPI: The DPI to use for OCR.
  • Max Pages: The maximum number of pages to parse.
  • Enable Editor: Whether to enable the editor model for additional processing.
  • Parallel Factor: The parallel factor to use for OCR.

Outputs

  • Markdown: The converted Markdown text of the input document.

Capabilities

Marker is designed to be fast and accurate, with low hallucination risk compared to other models. It can handle a variety of document types and languages, and it includes features like equation conversion, code block formatting, and table formatting. The model is built on a pipeline of deep learning models, including a layout segmenter, column detector, and postprocessor, which allows it to be more robust and accurate than models that rely solely on autoregressive language generation.

What can I use it for?

Marker is a powerful tool for converting PDFs, EPUBs, and other document formats to Markdown. This can be useful for a variety of applications, such as:

  • Archiving and preserving digital documents: By converting documents to Markdown, you can ensure that they are easily searchable and preservable for the long term.
  • Technical writing and documentation: Marker can be used to convert technical documents, such as scientific papers or programming tutorials, to Markdown, making them easier to edit, version control, and publish.
  • Content creation and publishing: The Markdown output of Marker can be easily integrated into content management systems or other publishing platforms, allowing for more efficient and streamlined content creation workflows.

Things to try

One interesting feature of Marker is its ability to handle a variety of document types and languages. You could try using it to convert documents in languages other than English, or to process more complex document types like technical manuals or legal documents. Additionally, you could experiment with the different configuration options, such as the DPI, parallel factor, and editor model, to see how they impact the speed and accuracy of the conversion process.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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