Datalab
Datalab ingests documents into pipelines that parse, extract and evaluate structured data. You send files to hosted or on‑prem endpoints; Datalab runs processors (Convert, Extract, Eval) and returns extracted fields, bbox-precise layouts, and evaluation metrics with per-processor metering and deployment options including VPC and air‑gapped.
Pricing is per-processor (flat rates per 1,000 pages) with a Free tier, a Team plan at $400/month, and custom Enterprise terms; many processor and add-on rates are listed on the pricing page.Is Datalab right for you?
Good for
- Teams that need high-throughput, bbox-precise document parsing pipelines with hosted, VPC, or air-gapped deployment and per-processor billing.
- Single pipeline runtime designed to scale from one API call to 100M pages per day, simplifying high-volume deployments.
- Offers a free hosted tier and a public playground to start without a credit card for the monthly allowance.
Keep in mind
- Schemas with more than 750 input fields are not supported and must be split across requests.
- Confirm agent-processor per-document rates for complex agent workflows before committing, since some agent processor rates are referenced but not published in the pricing pages.
Pricing and plan limits
The pricing page lists exact per-processor rates (for example Convert, Extract, Eval) and add‑ons; agent processor published rates are not yet provided and Enterprise terms are custom.
More about capabilities and limits
Documented strengths
Single pipeline runtime designed to scale from one API call to 100M pages per day, simplifying high-volume deployments.
Offers a free hosted tier and a public playground to start without a credit card for the monthly allowance.
Limitations to consider
Schemas with more than 750 input fields are not supported and must be split across requests.
Choosing a plan
Test the Free tier and run a representative document batch to measure throughput, field counts, and to capture per-processor cost estimates; then request enterprise terms if you need higher limits or air-gapped deployment.
Based on the linked product documentation.
Available on
Web, Api.
Official sources
Alternatives to Datalab
Choose around the work you need to do.
ABBYY
Use ABBYY when you need a low‑code, enterprise-grade document processing for document capture, high‑accuracy field and table extraction, and process automation accelerated by a marketplace of pre‑trained extraction models.
Docsumo
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LlamaIndex
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