Datalab

Datalab, described on its website as an applied document intelligence R&D lab, trains document intelligence models and provides a managed platform and open source models. Its processors include Convert (PDFs, spreadsheets, slides to markdown, HTML, and JSON with word-level bounding boxes, chart data, and structured figure descriptions), Extract (pulling user-defined fields into JSON with citations and a confidence score per field), Segment (identifying boundaries between documents combined into one file), and Eval (evaluating output quality against custom rubrics). The platform supports composing processors into pipelines, deploying in managed cloud, a customer VPC, or air-gapped on-prem environments, and monitoring quality over time. The website also cites OmniParseBench benchmark results, open source models Marker, Surya, Chandra, and Indra, and a managed batch option. Pricing details are referenced on the website but specific prices are not fully stated on this page beyond a Lite tier at $0.50 per 1,000 pages and a free tier for managed cloud.

Key features

• Convert PDFs, spreadsheets, and slides to markdown, HTML, and JSON in fast, balanced, or accurate modes
• Word-level bounding boxes, chart data, and structured figure descriptions
• Extract user-defined fields into JSON with citations and per-field confidence scores
• Segment combined documents into natural boundaries
• Evaluate output quality using built-in or custom rubrics
• Compose processors into versioned pipelines and promote them to production
• Deploy in managed cloud, in a customer VPC, or fully air-gapped on-prem
• Continuous monitoring and regression flagging against rubrics and a reference corpus
• Managed batch processing for large volumes with pay-per-page billing
• Open source OCR models Marker, Surya, Chandra, and Indra
• Document agent, form fill, form field detection, track changes, spreadsheet tables, and document creation

Best suited for

• AI research labs preparing training corpora
• AI and science teams parsing scientific papers
• Financial services document processing
• Healthcare documents such as clinical trial materials
• Insurance claims forms
• Retrieval-augmented generation (RAG) indexing
• Agentic workflows
• Audit and compliance use cases
• Web-ready PDF conversion

Pricing

Not stated on the website