Text Data Collection & Annotation
We collect and annotate multilingual text for NLP — named-entity recognition, classification, intent tagging, and large document corpora — across 40+ languages and many domains. Every batch runs through trained reviewers and statistical QA for consistent, model-ready labels.
Sample Projects
Text Data in Practice
Document Corpus Collection
Large-scale document digitization and annotation
Booking Confirmation Datasets
Structured extraction from booking emails
Corporate Email Patterns
Business email classification and intent tagging
Academic Forms & Notices
Educational document parsing and extraction
Our Edge
Why Choose ConsultBae
Multilingual Expertise
Native speakers across 100+ languages ensuring cultural accuracy and linguistic precision
Crowdsourced Quality
2M+ global contributors with multi-level quality checks — 98% accuracy across all data types
Fast Turnaround
Optimized crowdsourcing workflow that scales rapidly without compromising quality
Enterprise Security
Enterprise-grade protocols, data privacy controls, and global compliance alignment
Trust & Compliance
Ethically Sourced, Securely Managed
Data Ethics
- Written consent for every dataset collected
- No scraped or reused data — ever
- Full traceability for every file and contributor
Security & Compliance
- Enterprise-grade AWS/Azure infrastructure
- GDPR transparency and data subject rights
- End-to-end encryption at rest and in transit
How We Deliver
The Crowdsourcing Pipeline
Requirements
Understanding your data needs and quality benchmarks
Team Assignment
Allocating specialized crowdsourced teams per project
Data Processing
Systematic collection, annotation, and validation
Quality Assurance
Multi-level manual verification and delivery
Explore More
Other Data Types
Ready to build your text data set?
2M+ contributors across 100+ languages, 98% accuracy guaranteed
FAQs