Multilingual & Multimodal Annotation
Train Smarter AI Across Languages, Voices & Visuals
Modern AI needs to understand more than just one language or format. From regional dialects to mixed media content, real-world data is messy—and your models need structured, accurate labels to make sense of it.
Our Multilingual & Multimodal Annotation services help you train AI that works across cultures, regions, and content types—whether it’s text, image, audio, or all three combined.
Multilingual Coverage
Label content in 25+ global and regional languages.
From widely spoken languages like English, Spanish, and Hindi to regional ones like Tamil, Bengali, and Marathi—we’ve got you covered.
We support:
- Social media comment tagging in local languages
- Sentiment analysis across cultures
- Brand safety classification in native contexts
- Machine translation and language model training datasets
Multimodal Alignment
Train models to connect the dots between formats.
We annotate across and between:
- Text: Reviews, captions, subtitles, chat
- Images: Memes, product photos, infographics
- Audio: Podcasts, voice notes, regional music
- Video: Reels, ads, livestreams
Our cross-modal workflows ensure your model learns how these formats interact—for example:
- Matching an image with its sarcastic caption
- Labelling a video scene based on tone of voice and visual cues
- Flagging misinformation from text overlay on a meme
Example: A TikTok-style video is annotated for emotion (audio), potential misinformation (text on screen), and visual cues (background objects).
Localized Brand Risk Models
What’s considered “risky” varies by region.
We help brands and platforms create region-aware risk taxonomies by:
- Tagging culturally sensitive content
- Flagging content that violates local laws or norms
- Avoiding over-moderation or misclassification due to cultural gaps
Example: A product ad with a hand gesture that is offensive in one region but neutral in another is annotated correctly for local brand safety systems.
Contact us to get started or request a sample!
Make Your AI Global-Ready
Whether you’re building the next-gen assistant or scaling a global content platform, we can help you create multilingual, multimodal datasets that actually reflect how users speak, type, joke, and share.
