Data Annotation Services

Document Intelligence & AI Training Data — Done Right.

Accurate, human-verified data annotation for document AI and IDP models — from the team that's hand-rebuilt complex multilingual files for 20+ years.

Data Annotation Services

Overview

AI models that read, classify, and extract data from real-world documents are only as accurate as the annotated data they learn from. They fail where documents get difficult: handwriting, stamps, dense tables, degraded scans, and non-Latin scripts. DTP Labs provides human-verified data annotation for document AI and intelligent document processing (IDP) models. We are a document production company first: since 2004, our in-house team has manually reconstructed complex files — GMP pharmaceutical batch records, government forms, technical manuals — across 100+ languages, building on the same processes as our file preparation service. We now apply that same page-by-page precision to document data annotation for AI teams, delivered in your schema, inside your annotation platform or ours, under our ISO 27001:2022-certified information security management system.

What We Cover

Verbatim transcription of printed, handwritten, and mixed-content documents
Layout and zone annotation — tables, headers, stamps, seals, signatures, checkboxes
Reading-order marking for complex multi-column layouts
Key–value pair data annotation for forms, invoices, certificates, and regulatory documents
OCR output review and correction at production scale, with error categorization
Indic script specialization — Devanagari, Tamil, Bengali, Telugu, Malayalam, Gurmukhi, and more
RTL scripts — Arabic, Urdu, Hebrew — and CJK
Output in your schema: JSON, XML, CSV, COCO, PAGE-XML, or platform-native
Work inside client annotation platforms (Label Studio and proprietary tools)
Gold-set validation and inter-annotator agreement tracking under ISO 9001:2015

Key Capabilities

Document transcription & layout data annotation
Key–value extraction & OCR correction datasets
Indic, RTL & CJK script specialization
ISO 27001-certified secure data handling

Start with a Pilot

Every engagement begins with a paid pilot batch — typically 500–2,000 pages annotated to your spec — so you can benchmark our quality before scaling.

Request a Pilot

Other Services

Translation & LocalizationMultilingual Desktop PublishingFile Preparation & Content EngineeringE-Learning LocalizationMultimedia LocalizationPDF Accessibility & ComplianceImage Localization & EditingPublishing & Typesetting

Related Resources

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Definition

What is Data Annotation?

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Case Study

1,000-Page Clinical Trial Dossier — 12 Languages — 10-Day Delivery

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Industry

Life Sciences & Pharma

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Frequently Asked Questions

Data Annotation FAQs

Data annotation is the process of labeling and structuring documents so AI models can learn from them accurately — marking up text, layout, tables, and key fields so the underlying pattern is unambiguous. Model accuracy is bounded by annotation quality: noisy or inconsistent labeling produces models that plateau, especially on handwriting, complex tables, and non-Latin scripts. (In ML circles, this verified, labeled output is often called "ground truth.") DTP Labs performs data annotation using full-time document production specialists rather than anonymous crowd workers, with documented conventions agreed before work begins, gold-set calibration during production, and inter-annotator agreement tracking under our ISO 9001:2015 quality management system. The result is training and evaluation data your AI team can trust as a reliable benchmark.

Put 20 years of document expertise behind your model.

Send us a sample batch. We'll return annotated data you can measure.

Request a PilotView Services

99.5% on-time delivery  ·  125,000+ projects  ·  Avg. 2hr response