Video annotation

Temporal labels for video and multimodal AI.

Turn moving visual content into structured signals for classification, conversation analysis, quality evaluation and natural-language understanding.

Temporal contextNative-language reviewersMultimodal QAPilot to scale
What we annotate

Meaning across scenes, actions and conversations.

We align video-level labels, dialogue context and natural-language descriptions with your model and evaluation goals.

Video classification

Assign category labels to video content based on scenes, actions, objects, topics, or visual patterns to help models recognize and organize video data.

Dialog and conversation tracking

Track conversation flow, speaker intent, and dialogue context within video content to support conversational AI, user behavior analysis, and multimodal model training.

Video evaluation

Review video content, annotation quality, visual relevance, and labeling consistency to ensure datasets meet training and evaluation requirements.

Video captioning

Create natural language descriptions for video content to support video understanding, search, accessibility, closed captioning, and multimodal AI applications.

Built for your use case

Video labels matched to temporal and multimodal tasks.

We define scene, action, dialogue and caption rules around the behavior your system needs to recognize or explain.

01Video understanding
02Multimodal AI
03Conversation analysis
04Search & accessibility
How we deliver

From video taxonomy to validated labels.

A calibrated workflow keeps temporal context, captions and classification decisions consistent across footage.

Define the schema

Align classes, time units, dialogue rules, captions, volume and acceptance criteria.

Train & calibrate

Qualify reviewers with representative footage and guideline feedback.

Annotate & review

Run controlled production with temporal checks, audits and issue resolution.

Deliver & report

Provide structured video labels with quality findings and documentation.

Start focused

Plan a video annotation pilot.

Share your sample footage, target labels and quality requirements. We’ll propose a focused workflow with clear review criteria.

Discuss your video annotation project ↗