@VikParuchuri: Marker 2 is out now - up to 5x faster and more accurate than mineru, docling, and liteparse with similar configs. Conve…
Summary
Marker 2 is released, offering up to 5x faster and more accurate conversion of PDFs, images, and DOCX to markdown compared to mineru, docling, and liteparse.
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Cached at: 07/21/26, 02:45 PM
Marker 2 is out now - up to 5x faster and more accurate than mineru, docling, and liteparse with similar configs.
Converts pdfs, images, docx to markdown. CPU + GPU compatible, up to 27 pages/s. https://t.co/75nMipDaZ7
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@VikParuchuri: Get marker here - https://github.com/datalab-to/marker… . Quickstart: pip install marker-pdf, then marker /path/to/fold…
Marker is an open-source tool that converts PDFs, images, and other document formats to markdown, JSON, chunks, and HTML quickly and accurately, with optional LLM enhancement.
@VikParuchuri: Marker started as a small project to parse my PDFs. Today Datalab projects have 72k GitHub stars and 6M downloads a mon…
Vik Paruchuri announces that his PDF parsing tool Marker has grown into Datalab projects with 72k GitHub stars and 6M monthly downloads, and they are hiring a founding open-source engineer.
@akshay_pachaar: Turn any PDF, image, DOCX, and PPTX into clean markdown. Parsing one PDF is easy. Parsing millions of them is where it …
Datalab has released Marker v2, an open-source document parsing pipeline that efficiently converts PDFs, images, DOCX, and PPTX files to markdown with support for over 90 languages and high performance on GPUs.
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Datalab's Marker v2 is an open-source document parsing tool that handles PDFs, images, DOCX, and PPTX, outputting clean Markdown and supporting over 90 languages for batch organization, knowledge bases, and AI document processing.