What is data annotation in AI?

Data annotation is the process of labeling raw data — images, text, audio, video, or 3D point clouds — so that machine learning models can learn from it. Annotated datasets are the foundation of supervised AI training. Without high-quality annotated data, AI models cannot achieve reliable accuracy.

What types of data annotation services does Data Terminal offer?

Data Terminal offers image annotation (bounding boxes, semantic segmentation, polygon, keypoints), video annotation (object tracking, activity recognition), text annotation (NER, sentiment, intent classification), audio annotation (transcription, speaker diarization, emotion tagging), LiDAR/3D point cloud annotation, document annotation (OCR correction, invoice parsing, form extraction), and RLHF (reinforcement learning from human feedback) for large language models.

What is the difference between data labeling and data annotation?

Data labeling assigns a single tag or category to a data item (e.g., 'cat' or 'dog'). Data annotation is broader — it includes labeling but also adds contextual metadata such as bounding boxes, segmentation masks, timestamps, relationships, and attributes. All labeling is annotation, but not all annotation is mere labeling.

How do you ensure quality in data annotation?

Data Terminal uses a multi-pass quality assurance process: custom annotation guidelines per project, pilot batch review, inter-annotator agreement (IAA) scoring, two-tier human review, automated consistency checks, and client feedback loops. We maintain 99.5% accuracy across projects.

What annotation output formats do you support?

We support all major annotation formats including COCO JSON, Pascal VOC XML, YOLO TXT, CVAT XML, Labelbox JSON, custom JSON/JSONL, and CSV. We can also deliver in any client-specified format.

How long does a data annotation project take?

Standard projects are delivered within 48–72 hours for small batches (up to 5,000 items). Large-scale projects (100,000+ items) are scoped with a dedicated timeline. Rush delivery is available for urgent AI training requirements.

Can Data Terminal handle large-scale data annotation projects?

Yes. Data Terminal has handled projects exceeding 50 million annotations. We scale annotation teams on demand for high-volume requirements, with dedicated project managers and continuous quality monitoring.

Why choose India for data annotation services?

India offers a large pool of English-proficient, technically trained annotators at cost-effective rates — typically 60–70% lower than US or European providers — without compromising on accuracy. Indian annotation teams are experienced in medical, legal, automotive, and NLP domains.

What industries does Data Terminal serve with data annotation?

Data Terminal serves autonomous vehicles, healthcare AI (medical imaging), e-commerce, agriculture, robotics, content moderation, satellite/geospatial imaging, legal/finance NLP, retail, and conversational AI (chatbots, virtual assistants).

What annotation tools does Data Terminal use?

We work with CVAT, Labelbox, Scale AI-compatible pipelines, Roboflow, VGG Image Annotator (VIA), and custom in-house annotation tools. We can integrate with your existing annotation platform or provide a fully managed environment.

What is document annotation?

Document annotation is the process of labeling structured and unstructured documents — invoices, forms, contracts, receipts, and PDFs — so AI models can learn to extract, understand, and process document content automatically. Annotators label field boundaries, table structures, entity locations, and text regions to create training data for OCR, IDP (Intelligent Document Processing), and document AI systems. Data Terminal has annotated 5M+ documents with 99.4% field-level accuracy.

What types of document annotation does Data Terminal offer?

We offer invoice layout annotation (header/line items/totals), form field extraction labeling, table structure annotation (rows/columns/cells/merged cells), receipt parsing, contract entity tagging (parties, dates, obligations, clauses), OCR ground truth creation, document classification, and handwritten document annotation.

What is OCR ground truth annotation?

OCR ground truth annotation creates the reference text that OCR model training and evaluation is measured against. Annotators carefully verify and correct machine-read text, align bounding boxes with exact character/word/line positions, and flag recognition errors. High-quality OCR ground truth is the foundation of accurate document AI systems.

What is the difference between document annotation and OCR?

OCR (Optical Character Recognition) converts document images to machine-readable text. Document annotation labels the structure and meaning of that text — which region is the invoice number, which table cell contains the quantity, which clause is the termination clause. Document annotation turns raw OCR output into structured, AI-trainable data.

What document formats do you support?

Data Terminal annotates PDF, TIFF, JPG, PNG, Word (DOCX), Excel (XLSX), scanned images, and handwritten documents. We handle both born-digital and scanned/photographed documents, including low-quality mobile phone captures.

How accurate is your document annotation?

Data Terminal achieves 99.4% field-level extraction accuracy on standard documents (invoices, forms) and >97% on complex layouts (contracts, technical manuals). Accuracy is measured at the field boundary level (IoU) and text extraction level (character error rate).

Which industries use document annotation services?

Finance and banking (invoice processing, KYC documents), healthcare and insurance (claim forms, medical records, prescription labeling), legal (contract review AI, court document classification), logistics (shipping manifests, bill of lading), government (ID document verification, permit forms), and retail (receipt processing, catalog digitization).

What output formats do you support for document annotation?

We deliver in COCO JSON (region/field format), FUNSD JSON, CORD JSON, DocVQA format, ICDAR format, custom JSON with field type + bounding box + text value, CSV field extraction tables, and any client-specified schema.

What is document annotation?

Document annotation is the process of identifying and labelling structured information within documents — such as invoices, contracts, forms, and reports — so that AI models can automatically extract and process that data. It includes layout analysis, form field tagging, table detection, key-value extraction, and document classification.

How much does document annotation cost in India?

Data Terminal charges ₹5–₹30 per page depending on document complexity, field count, and required accuracy. Simple invoices start at ₹5/page; multi-table contracts and medical records range from ₹15–₹30/page. Volume discounts apply. Call +91-9014387222 for a custom quote.

What is Intelligent Document Processing (IDP)?

Intelligent Document Processing (IDP) combines OCR, NLP, and machine learning to automatically extract structured data from unstructured documents. Annotated training data is essential: without high-quality document annotations, IDP models cannot learn to locate and extract the right fields reliably.

Which document types can you annotate?

We annotate invoices, purchase orders, contracts, insurance claims, medical records, bank statements, tax forms, government IDs, shipping manifests, receipts, and any custom document type. Our annotators are trained by document vertical for domain accuracy.

What output formats do you support?

We deliver in JSON, CSV, XML, and any custom schema. For IDP pipelines, we output bounding box coordinates + field labels compatible with Amazon Textract, Azure Form Recognizer, Google Document AI, and custom models. Schema built to your spec at no extra cost.

Do you offer a free sample?

Yes. Send any 20–50 pages and we will annotate them free within 24 hours, including a field-level accuracy report. No payment, no commitment. Email contact@dataterminal.co or call +91-9014387222.

How do you handle confidential documents?

All projects start with a signed NDA. Documents are processed in isolated environments with role-based access. We support on-premise annotation for highly sensitive datasets, and all annotator laptops run endpoint protection. GDPR and DPDP compliance available on request.

What accuracy do you guarantee for document annotation?

Data Terminal guarantees 99.3% field-level accuracy across all document annotation projects. Our 3-layer QC process — primary annotation, peer review, and automated schema validation — ensures every field coordinate and label meets the acceptance threshold before delivery.

Document Annotation · India · 2026

Document Annotation Services in India

99.3% Accuracy · ₹5–₹30 per page · 24-hour turnaround · 20,000+ pages/day

India's most accurate document annotation service. Expert layout analysis, form field extraction, table detection and document classification for intelligent document processing AI.

Get Free Sample Annotation Get a Quote

📞 +91-9014387222 · contact@dataterminal.co

doc-tool · docs.dataterminal.co

INVOICE · INV-2026-0142

Data Terminal Pvt LtdMar 15, 2026

Image Annotation₹45,000

Video Annotation₹32,000

Total₹77,000

VENDORDATEAMOUNTLINE ITEM

99.3%Accuracy

24hTurnaround

₹5–₹30Per Page

20K+Pages Per Day

5+Years Experience

What We Annotate

Every Document Type. One Team.

Layout, fields, tables, classification — expert-annotated at 99.3% accuracy, delivered in your schema.

Layout Analysis

Detect and segment page regions — headers, body, tables, footers, margins. Foundation for all downstream extraction tasks.

Structural Analysis

Form Field Extraction

Label every field in forms, invoices, and applications with key-value pairs. Exact bounding boxes for OCR pipeline integration.

Forms & Invoices

Table Extraction

Identify table boundaries, rows, columns, and cell content. Handles merged cells, multi-line rows, and borderless tables.

Tabular Data

Document Classification

Tag documents by type — invoice, contract, receipt, ID card. Multi-label classification for complex document hierarchies.

Classification

Key-Value Extraction

Pair every key with its value across free-form documents. Handles varied layouts, font sizes, and multi-column structures.

Extraction

Signature/Stamp Detection

Locate handwritten signatures, rubber stamps, and official seals. Critical for contract validation and compliance workflows.

Verification

Quality Methodology

How We Hit 99.3% Accuracy

99.3%

Field-Level Accuracy

Industry Average84%

Data Terminal99.3%

Step 01

Primary Annotation

Domain-expert annotators assigned to document vertical — legal, finance, healthcare, logistics. Field labels and bounding boxes applied per your schema.

Step 02

Peer Review

A second annotator checks every field. Any coordinate deviation or label mismatch triggers immediate re-annotation before the batch advances.

Step 03

Schema Validation

Automated check confirms every required field is present, all coordinates are within page bounds, and no mandatory key-value pairs are missing.

Step 04

Gold Standard Check

5% random sample validated against pre-annotated gold documents. Batch fails and returns to annotation if any field drifts below the accuracy threshold.

Our Process

Upload to Delivery — 24 Hours

Upload

Share documents via secure portal, Google Drive, S3, or FTP. PDF, DOCX, TIFF, and scanned images all accepted. NDA signed on request.

Annotate

Domain-expert annotators label fields, tables, and page regions using your schema. Vertical-specific teams for legal, finance, healthcare, and logistics.

QC Review

Every document through 3-layer quality control. Schema validation, peer review, and gold standard check before any page ships.

Deliver

Receive annotated output in JSON, CSV, XML, or your custom format. Includes field-level accuracy report and bounding box coordinates.

Industries Served

Built for Every Document Vertical

Dedicated annotator teams per industry — not generalists pushing through unfamiliar documents.

⚖️

Legal / Contracts

Contract clause extraction, party identification, obligation tagging, and signature detection for legal AI workflows.

NDA · Contracts · Clauses

💰

Banking / Finance

Bank statement parsing, loan application extraction, KYC document annotation, and financial form field labelling.

KYC · Statements · Loans

📋

Insurance

Claims form annotation, policy document extraction, damage report tagging, and adjuster notes classification.

Claims · Policies

🏥

Healthcare

Medical record extraction, prescription annotation, lab report table detection, and patient form field labelling.

EHR · Prescriptions

🏛️

Government

Tax form extraction, permit applications, identity document annotation, and regulatory filing classification.

Tax · ID · Permits

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Logistics / Shipping

Bill of lading annotation, customs declaration extraction, manifest parsing, and shipping label field detection.

BOL · Customs · Manifests

Formats & Tools

Works With Your IDP Pipeline

Input Formats

PDFDOCXTIFFPNG / JPGScanned ImagesAny format

Output Formats

JSONCSVXMLCustom SchemaCOCO JSONTextract-compatible

IDP Platforms

Amazon TextractAzure Form RecognizerGoogle Document AIABBYYCustom Model

If your IDP pipeline requires a specific schema or tool integration, we build the converter at no extra cost. Custom output schemas delivered within 48 hours of specification.

Free Sample Offer

Try Before You Commit

Send us 20–50 pages. We'll annotate them free in 24 hours — your document type, your schema, with a field-level accuracy report. No payment. No commitment.

20–50 pages annotatedYour schemaJSON or CSV outputAccuracy report included24h delivery

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FAQ

Frequently Asked Questions

Start Your Project

Let's Build Something Great.

Free sample on your first project. Response in under 2 hours. Transparent pricing with no hidden costs.

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Phone+91-9014387222

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Emailcontact@dataterminal.co

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LocationHITEC City, Hyderabad, India

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