Images
Categories, attributes and simple image tagging.
Data labelling services in India
Vetted members across India tag images, text and products to your guidelines, so your AI models, catalogues and search get clean, consistent labels.
What is data labelling and how does TestLancer do it?
Data labelling means tagging items such as images, text or products with categories or attributes, following clear guidelines, so the data can train AI models or organise catalogues. On TestLancer you upload the items and guidelines, members label them in parallel, and labels are reviewed before approval.
- Data types
- Images, text, products
- Done by
- Vetted members across India
- Quality
- Reviewed; overlap available
- Pricing
- Per item, confirmed upfront
Benefits
Why use TestLancer for data labelling?
Text
Sentiment, intent, topic and language tags.
Products
Category mapping and attribute extraction for catalogues.
Your guidelines
Examples and edge cases define every label.
Overlap for quality
Have more than one member label the same item where accuracy matters.
Indian languages
Members who read and write Indian languages for local-language text.
We don't accept labelling work designed to deceive people or manipulate platforms, and items must not contain sensitive personal data members shouldn't see.
How it works
How does data labelling work?
From brief to results in five steps.
- Define the labelsCategories, attributes and examples, including tricky cases.
- Upload the itemsImages, text or product data.
- Set quality rulesOverlap per item and review criteria.
- Members labelEligible members work through the batch.
- Review & exportReviewed labels delivered in your format.
Who it's for
Who uses TestLancer for data labelling?
- AI and machine-learning teams
- E-commerce catalogue teams
- Research teams coding survey answers
- Startups building local-language products
- Agencies organising client content
What you receive
What do you get?
- Labels in your format
- Reviewed output
- Agreement notes where overlap is used
- Flags on unclear items
- Exportable results
Local language
Labelling in Indian languages
Many teams struggle to find labellers for Hindi, Malayalam, Tamil and other Indian languages. You can set language requirements so text is labelled by members who read it, subject to member availability.
Start Your CampaignIncluded
- Language requirements per campaign
- Your guidelines and examples
- Review before approval
- Overlap on critical items
- Price confirmed before work starts
FAQ
Data Labelling Services in India: frequently asked questions
What is data labelling and how does TestLancer do it?
Data labelling means tagging items such as images, text or products with categories or attributes, following clear guidelines, so the data can train AI models or organise catalogues. On TestLancer you upload the items and guidelines, members label them in parallel, and labels are reviewed before approval.
Can you handle large labelling batches?
Yes. Batches are split across many members working in parallel, with review before approval.
Do you support bounding boxes or complex annotation tools?
Tell us your format and tools when you request a quote, and we will confirm what can be done.
How is quality measured?
Through your guidelines, review of submissions, and optional overlap where several members label the same item.
How is labelling priced?
Per item, based on complexity and volume, confirmed before work starts.
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