Datalab builds state-of-the-art document intelligence models to convert complex PDFs and other unstructured formats into structured, machine-readable outputs — fast, accurately, and at scale. At our core, we provide:

  • Marker: Our open-source document processing system that converts documents to structured formats with high speed and accuracy.
  • Surya: Our comprehensive document OCR toolkit designed for processing various document types with capabilities that include text detection, text recognition, layout analysis, reading order determination, table recognition, and LaTeX.

Getting started

Whether you want to securely host us in your own environments, or use our hosted API, we make it easy to get started.


What can I use Datalab for?

Datalab is built for anyone working with messy, high-stakes, or high-volume documents. Our users span industries, teams, and use cases. Some examples include:

  • AI/ML teams building agents or structured data pipelines: Feed RAG systems, knowledge graphs, or automation workflows with clean, structured outputs. Ideal for converting unstructured PDFs into JSON, Markdown, or HTML for downstream use.
  • Enterprises with compliance-heavy document processing needs: Automate high-volume document review and extraction with auditability, bounding boxes, and deterministic parsing.
  • Product or Engineering teams in EdTechs, legaltechs, fintechs, and AI research labs: Turn scanned textbooks, legal filings, financial statements, tax forms, research papers, into product-ready content at scale.

Support

Support

Can’t find what you’re looking for? Email support@datalab.to and a member of the team will get back to you!

Service Status

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