Text data collection services for NLP and generative AI
Access domain-specific, high-quality text datasets – fast, securely, and at scale
Why leading AI teams choose LXT for text data collection
Global Reach
Text datasets sourced from 150+ countries and 1,000+ locales across industries, domains, and languages.
Massive, Vetted Workforce
7M+ global contributors and 250K+ domain experts provide access to specialized and hard-to-find content.
Domain-rich Coverage
Datasets spanning domain-specific corpora, conversational exchanges, user-generated content, handwriting, and transcribed text.
Fast & Flexible
Secure collection and processing workflows with rapid throughput for projects of any size.
Assured Quality
Multi-stage QA combining expert review, gold tasks, and automated checks; ISO 27001, SOC 2, GDPR, HIPAA compliance.
Custom Fit
Text data tailored to your use case, from chatbot training and summarization to LLM fine-tuning.
Scalable, expert-led text data for AI training
LXT delivers managed text data collection services for NLP, generative AI, and other text-driven applications. Projects can be run end-to-end by our linguistic engineers or scaled through our global crowd, giving you both expertise and throughput.
With operations in 150+ countries, we source text that meets detailed criteria such as age group, dialect, literacy level, or industry. Data can be collected on our platform or client-requested tools, with secure workspaces available for sensitive projects – always validated and delivered in your preferred format.
Our text data collection services at a glance
Text sourcing
Collection of a wide range of training texts, including domain-specific corpora (e.g. legal, medical, technical), conversational exchanges, user-generated content, knowledge bases, and handwritten material. Structured, semi-structured, and unstructured formats are all supported.
Text annotation
Adding linguistic layers such as entity recognition, sentiment tagging, or intent labeling – giving your models structured meaning and context.
Text transcription
Converting handwritten notes, scanned pages, or image-based text into machine-readable data, enabling OCR and handwriting recognition models.
Text evaluation
Reviewing and filtering text for quality, relevance, and compliance – so your AI is trained only on accurate, context-appropriate data.
Text data collection includes following data types:
Domain‑specific corpora
Conversational data
User‑generated content
Handwriting
Transcribed speech
Use cases for text data collection
We gather text to support a wide variety of AI technologies, including but not limited to:
How our text data collection
process works
Our text data collection workflows are designed to be simple for you and precise for your AI goals. From first contact to final delivery, we take care of the details so your team can focus on model development.
Tell us what kind of text you need — domains, languages, formats, or sources. Based on this, we create a tailored proposal and custom quote.
We design the collection strategy, prepare detailed contributor guidelines, configure QA workflows, and onboard the right contributors for your project.
A small dataset is collected and reviewed. We calibrate instructions together with you until quality, coverage, and domain fit are fully aligned.
Depending on your needs, text is sourced, transcribed, annotated, or evaluated across global contributors and domains.
Every dataset goes through multiple checks: gold tasks, peer review, automated validation, and expert review to guarantee accuracy.
Final datasets are delivered through encrypted download, API, or secure hosting in the structure and format you prefer.
Need additional languages, domains, or new types of text? We can expand or refresh your dataset to keep your models current.
Quality & security
LXT manages every text data collection project with strict quality control and enterprise-grade security. From sourcing to delivery, we ensure accuracy, confidentiality, and compliance.
Vetted contributors
Matched by domain expertise, language fluency, and technical capability.
Enterprise compliance
ISO 27001, SOC 2, GDPR, and HIPAA certified.
Optional pretraining
For complex linguistic tasks, contributors can complete calibration to align with your guidelines.
Data privacy
NDAs and secure handling protocols (VPN, VPC, restricted access) available when required.
Layered QA
Human review and automated validation ensure clarity, accuracy, and consistency.
Secure infrastructure
Encrypted transfer and controlled access safeguard sensitive text datasets at every stage.
FAQs on our LXT text data collection services
Yes. We source and prepare text datasets from specialized domains such as healthcare, finance, legal, and technical industries – depending on your project needs.
Absolutely. Our global crowd covers over 1,000 language locales, allowing us to collect, annotate, and validate text in a wide range of languages and dialects.
Quality is maintained through clear guidelines, pilot calibration, contributor vetting, and multi-layered QA, including both automated and expert review.
We deliver in common formats such as TXT, CSV, JSON, or custom formats required by your pipeline.
Pricing depends on dataset size, domain complexity, number of languages, annotation requirements, and turnaround time. We provide tailored quotes based on your specifications.
Further data collection services
Enhance your training pipeline with additional data types, managed end-to-end and aligned to your model goals.
Data collection
One place to scope and launch multimodal projects – across text, image, audio, video, and more – with unified QA and secure delivery.
Audio data collection
Speech and voice datasets for transcription, assistants, and recognition systems.
Image data collection
Curated image datasets of people, objects, and environments for computer vision AI.
Video data collection
Human actions, gestures, and environments captured for tracking and recognition models.
LLM data collection
Large-scale, domain-specific corpora tailored for generative AI and fine-tuning.
Facial recognition data collection
Ethically sourced image datasets to build and validate facial recognition AI.