Text Annotation Services
Our services are built for accuracy, scalability, and security, ensuring consistent results across small pilots and large-scale annotation initiatives.
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Turning Unstructured Text into Structured, AI-Ready Data
At Lapiz Digital, we help businesses unlock the full potential of unstructured text data through accurate and context-aware text annotation services. Whether you’re building AI models in healthcare, finance, e-commerce, or customer experience, we convert raw textual inputs into structured formats that machines can learn from.
Our Services
Our text annotation services involve labeling and tagging text to train machine learning (ML) and Natural Language Processing (NLP) models. From identifying key entities like names, locations, or product categories to analysing sentiment and intent, we ensure your AI systems can interpret human language with accuracy and context.
We work with diverse data types—emails, chats, documents, reviews, and medical transcripts to provide annotations that align with your business goals. With a team of trained linguists, domain experts, and robust quality assurance processes, Lapiz Digital delivers reliable results across industries.
What We Offer
Entity and Information Extraction
Extract meaningful elements from unstructured text.
- Named Entity Recognition (NER)
- Entity Linking and Disambiguation
- Coreference Resolution
Text Classification and Categorization
Organize content into relevant categories.
- Intent Classification
- Document and Ticket Classification
- Topic Annotation
Sentiment and Emotion Analysis
Decode human emotion and tone in text.
- Sentiment Labeling (positive, negative, neutral)
- Emotion Tagging (joy, anger, sadness, etc.)
- Subjectivity Classification
Linguistic and Structural Annotation
Enhance understanding through grammar and structure.
- Part-of-Speech (POS) Tagging
- Syntax and Semantic Annotation
- Document Structuring (headings, summaries, metadata)
Multilingual and Complex Annotation
Handle complex and regional NPL needs.
- Multilingual Text Annotation
- Text Pair Annotation (similarity, paraphrase, entailment)
- Custom Ontology-Based Annotation
Why Choose Lapiz Digital?
Domain Expertise
Specialized in healthcare, legal, finance, and customer service datasets.
Scalable & Flexible
Supports projects of any size with full-time, project-based, or hourly models.
High-Quality Delivery
Expert annotators + multi-layer QA ensure consistency and accuracy.
Data Security & Compliance
GDPR/HIPAA-compliant workflows with secure infrastructure and PII handling.
Transparent Process
Clear guidelines, ongoing QA, and regular reporting for full visibility.
Multilingual Capability
Handles diverse languages and cultural contexts for global use cases.
Trusted by our Customers
Our clients span industries including healthcare, e-commerce, banking, legal, and IT services. With a reputation for quality, transparency, and collaboration, Lapiz Digital is a trusted partner for organizations of all sizes—from startups to global enterprises.
Our Text Annotation Process
We follow a structured, secure, and quality-driven annotation process to deliver high-value, AI-ready datasets.
Data Collection & Preparation
We begin by collecting or receiving raw text data. We also assist in sourcing and preparing data that aligns with data protection regulations.
- Compliant with GDPR, HIPAA, and other relevant laws
- Accept multiple input formats: emails, chats, documents, etc.
- Pre-annotation steps include normalization and formatting
Annotation Setup – Most Critical Step
We define clear guidelines, taxonomies, and annotation rules based on your project goals.
Why It Matters:
- Ensures alignment across teams
- Prevents ambiguity
- Reduces rework and improves consistency
Annotation & Multi-Layered Review – Most Impactful Step
Our trained annotators use advanced tools and follow rigorous QA protocols including peer reviews and audits.
Why It Matters:
- Drives model training accuracy
- Captures domain-specific nuances
- Removes annotation bias
Delivery & Feedback Loop
We deliver annotations in your preferred format and remain engaged for feedback and iterations.
What to Expect:
- Flexible formats (CSV, JSON, XML, etc.)
- Version control and documentation
- Fast refinement cycles to support model evolution
Data Privacy, Security & Compliance – Essential for Regulated Domains
We ensure end-to-end security and privacy for all data, especially for sensitive industries like healthcare and finance.
- GDPR and HIPAA compliance
- PII anonymization
- Secure access, encryption, and audit logs
Compliance & Standards
We follow internationally recognized standards and guidelines to deliver high-quality annotations:
- GDPR and HIPAA-compliant workflows
- ISO-aligned quality benchmarks
- Annotation protocols inspired by LDC (Linguistic Data Consortium)
- Transparent audit trails and version tracking
- Accessibility considerations across dialects and user groups
Ethical and Responsible Annotation
We believe in human-centric, ethical AI development. Our practices are designed to reduce bias, protect privacy, and maintain cultural context.
Bias Mitigation
Avoid gender, racial, and cultural bias
Contextual Sensitivity
Account for sarcasm, distress, or emotion in sentiment tasks
Privacy & Data Sensitivity
Handle PII with discretion, especially in regulated domains
Human Oversight
Ensure subjective language is interpreted empathetically
Get Started with Text Annotation Services
Whether you’re developing an AI-powered virtual assistant or analysing sentiment for thousands of customer reviews, Lapiz Digital is here to support your goals with accurate and cost-effective text annotation services.
Let us help you train better models with clean, structured, and context-aware data. Contact us today to discuss your project and receive a customized quote.
