Conversational text
Collect dialogue-style text such as chat exchanges, prompt-response pairs, support conversations, and simulated user interactions to support chatbot, LLM, and conversational AI training.
Text data collection
Vietnamese text data built around real use.
Collect natural, representative and task-ready text for conversational AI, document intelligence, specialized models, retrieval systems and locally relevant product experiences.
What we collect
Text for the way people communicate and work.
Each collection program is shaped around your model, audience, domain and target data format, with Vietnamese linguistic and cultural context built into the brief.
Handwritten text
Collect handwritten samples, notes, forms, and short text entries to support OCR, handwriting recognition, document AI, and text digitization workflows.
Industry-specific text data
Collect domain-focused text from areas such as finance, healthcare, legal, education, retail, technology, or customer service for specialized model training and evaluation.
User-generated content
Collect natural text written by real users, including reviews, comments, messages, questions, opinions, and feedback to support sentiment, moderation, and personalization models.
Knowledge-based text
Collect factual, instructional, reference, or explanatory content to support retrieval systems, summarization, question answering, and knowledge-grounded AI workflows.
Localized content
Collect text that reflects Vietnamese use, regional expressions, cultural context, and market-specific wording to support locally relevant AI systems.
Built for your use case
One collection program, shaped around the system you are training.
We align contributor profiles, prompts, domains and delivery formats with the behavior your model needs to learn or evaluate.
01Chatbots & LLMs
02OCR & document AI
03Domain-specific AI
04Retrieval & search
How we deliver
From brief to usable text data.
A transparent workflow keeps the collection relevant, consistent and ready for the next stage of your AI pipeline.
Define the brief
Align use case, contributor profile, domains, volume, format and acceptance criteria.
Source & collect
Recruit suitable Vietnamese contributors and run controlled collection batches.
Review & normalize
Check relevance, completeness, language quality, formatting and duplication.
Deliver & report
Provide structured data with progress, quality findings and delivery documentation.
Start focused
Plan a Vietnamese text data pilot.
Share your target use case, sample format and expected volume. We’ll propose a focused collection plan with clear quality criteria.
Discuss your text data project ↗