Text data collection services for NLP and generative AI
Get high-quality, domain-specific text data to fuel your NLP and generative AI models. LXT delivers at global scale, with speed, security, and subject-matter precision. Whether you need newly created texts or text collected through compliant sourcing methods, we deliver exactly the text data collection your models need to learn.
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
8M+ global contributors and 250K+ domain experts provide access to specialized and hard-to-find content.
Domain-rich Coverage
Text data collection sets 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, GDPR, HIPAA compliance.
Custom Fit
Text data collection tailored to your use case, from chatbot training and summarization to LLM fine-tuning.
Our text data collection services at a glance
LXT delivers scalable, expert-led text data collection services for generative AI, NLP, and other text-driven applications. Projects can be executed end-to-end by our linguistic engineers or scaled rapidly through our 8M+ contributor network. We operate in 150+ countries and support text data collection across languages, dialects, domains, and demographics. Data is always gathered securely – via our platform or yours – and validated to your specifications.
Conversational text
Training data made up of real or simulated dialogues between humans or human-machine interactions. Focused on building smarter, more natural conversational AI.
Use Cases:
-
Conversational AI training (intent, context handling)
-
Dialogue state tracking
-
Prompt-response generation for LLMs
Handwritten text
Handwritten samples collected from diverse demographics to support handwriting recognition and OCR model development.
Use Cases:
-
OCR model training
-
Handwriting recognition and classification
-
Digitization of handwritten forms or notes
Domain-specific corpora
Collections of industry-specific text either created by experts or ethically sourced. Covers areas like law, medicine, finance, tech, and commerce.
Use Cases:
-
Pretraining/fine-tuning LLMs in regulated industries
-
Document understanding for legal or medical AI
-
Risk modeling from financial communications
User-generated content
Natural, expressive, and diverse language collected from contributors or public sources (where legally permitted). Includes forums, reviews, and chat logs.
Use Cases:
-
Sentiment analysis
-
Preference modeling and personalization
-
Moderation system training
Knowledge-based text
Fact-based instructional or reference material used to train AI on grounding, retrieval, and structured outputs.
Use Cases:
-
RAG (retrieval-augmented generation)
-
AI customer support bots
-
Auto-summarization and indexing
Localized content
Culturally nuanced and dialect-rich data that reflects regional expressions and linguistic diversity.
Use Cases:
-
Multilingual search and translation AI
-
Bias mitigation and cultural grounding
-
Region-specific voice assistants
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.
We start with a detailed intake to understand your project goals, data needs, languages, target geographies, and volume. Based on this, we propose a tailored collection strategy.
We configure your project within our platform and prepare detailed contributor guidelines. Quality processes – including gold tasks and validation rules—are defined upfront.
We activate only qualified contributors who match your project’s domain, language, and regional criteria. If needed, a custom training or calibration step ensures alignment with your expectations.
A controlled test run verifies that data quality, task design, and contributor performance meet your standards. We refine any part of the setup as needed.
Every dataset goes through multiple checks: gold tasks, peer review, automated validation, and expert review to guarantee accuracy.
Once the pilot is approved, the project is scaled to full production with throughput and QA workflows aligned to your timeline and specs.
We support ongoing collaboration, whether that means refreshing datasets, adding new languages, expanding to other domains, or launching follow-up phases as your model matures.
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
We match contributors based on domain knowledge, language fluency, and task performance history. Only qualified individuals can access your project.
Enterprise compliance
Our operations are ISO 27001, GDPR, and HIPAA certified. We adhere to the highest standards in data privacy and security.
Optional pretraining
For complex linguistic tasks, contributors can complete customized calibration and training to align precisely with your task and quality expectations – ensuring output consistency from day one.
Data privacy
For sensitive collections, we offer secure protocols including VPC/VPN access, role-based permissions, and NDA enforcement.
Multi-layer QA
Every project includes layered quality checks – starting with pilot data review, followed by gold standard tasks, manual audits, and automated validations to ensure consistency and accuracy.
Secure infrastructure
All datasets include traceable metadata, transparent task logs, and documented QA processes – ideal for regulated industries or internal audit requirements.
FAQs on our LXT text data collection services
You can fully outsource your project to LXT, run it on our secure platform, or integrate our global crowd into your own workflows. We support fully managed collection, crowd-as-a-service, or co-execution via embedded iFrames on our workplace platform. Our team works with you to determine the best setup for your needs.
Yes. We source and prepare text datasets from specialized domains such as healthcare, finance, legal, and technical industries – depending on your project needs.
Yes. We support multilingual text collection across 1,000+ language locales. Our global contributor base enables accurate data capture in major world languages as well as low-resource and dialect-rich regions. Quality checks and native-speaker validation ensure linguistic fidelity.
Quality is maintained through clear guidelines, pilot calibration, contributor vetting, and multi-layered QA, including both automated and expert review.
We deliver text data in widely used formats such as TXT, CSV, JSON, XML, and DOCX. For handwriting projects, we also support scanned PDFs or paired image/text files. If your workflow requires a specific schema or structure, we can align to your format requirements. API-based delivery is available for automated data ingestion.
Text data collection is priced based on several factors, including the volume of data, domain complexity, number of languages, contributor expertise, sourcing method (created or collected), and required turnaround time. We provide tailored quotes aligned to your specific goals, quality expectations, and delivery timelines. Minimum volumes may apply.
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.