Industry solutions · OCR and document AI dataset services

Enterprise documents

Collect, annotate and audit invoices, forms, receipts, handwriting and enterprise documents for OCR, extraction and document-understanding models.

Industry reality

Data quality depends on the failure modes of enterprise documents.

A useful dataset must represent how the product will actually be used—not just reach a large row count. We design the workflow around domain constraints, model risk and measurable acceptance.

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Common challenges

What makes this data difficult.

Complex layouts and nested tables

OCR errors across scans, photos and handwriting

Sensitive business information

Large variation across vendors and templates

High-value use cases

Programs designed around product outcomes.

Invoice and receipt extraction

Form understanding

Table and line-item recognition

Document classification

OCR correction and benchmarking

Typical deliverables

More than a folder of files.

The exact specification is project-dependent, but delivery should make provenance, quality, format and limitations understandable.

Field and layout taxonomy01

Region, transcription and table labels02

JSONL, CSV or custom structured exports03

Field-level accuracy reporting04

Document provenance and limitation notes05

Recommended capabilities

Build the operating model around the use case.

01Source

Custom data collection

Consent-aware collection programs designed around your target population, environment, modality and model objective.

Explore service ↗02Label

Data annotation

Human annotation workflows with clear taxonomies, calibrated reviewers and measurable acceptance criteria.

Explore service ↗03Generate

Synthetic data

Purpose-built synthetic datasets, verified by humans and delivered with documented generation and filtering methods.

Explore service ↗

Frequently asked questions

Questions about enterprise documents data.

Can you annotate tables and line items?+

Yes. Projects can include document regions, key-value fields, rows, columns, line items and transcription correction.

Can documents be collected as part of the project?+

Yes, subject to sourcing rights, privacy constraints and the target document distribution.

Build for the real environment

Plan a enterprise documents data program.

Tell us the model objective, current failure mode and available data. We will help structure the pilot and acceptance criteria.

Start a conversation ↗