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Datalab

Open‑source, state‑of‑the‑art AI for documents, simplified.

Datalab provides high-precision document intelligence models that convert complex PDFs and office files into structured, audit-ready data. Teams use its API to parse, segment, extract, and trace document content for AI pipelines, automation, and retrieval-augmented generation across flexible cloud and on-prem deployments.

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More about Datalab

Datalab delivers state-of-the-art document intelligence models that convert messy PDFs, slides, and office files into precise, production-grade data. With high-accuracy OCR across 90+ languages and robust layout understanding, Datalab makes it easy to transform unstructured content into structured outputs ready for analytics, automation, and AI workflows.

Built for engineering, data, and research teams, Datalab exposes a flexible API for parsing, segmenting, extracting, and auditing complex documents. You can:

Parse complex layouts, tables, math, and redlines into JSON, HTML, or Markdown with bounding boxes
Segment large documents into meaningful sections or individual files using automatic boundary detection
Extract exact fields from documents via JSON schemas with citations and confidence scores
Audit every output with traceable data lineage and layout-aware metadata

Datalab supports SaaS, dedicated, VPC, and air‑gapped on‑prem deployments (CPU/GPU/MPS/TPU), so you can integrate document intelligence wherever your workloads run. Whether you’re powering retrieval-augmented generation, building document-heavy workflows, or modernizing back-office processes, Datalab provides reliable, audit-ready document data at scale.