Image and video
Object detection, image classification, recognition, visual inspection, bounding boxes, polygons, segmentation, and temporal labels for computer vision automation.
Sinorax AI Annotate
Label and prepare training data with confidence.
Sinorax AI Annotate is the labeling workspace within our end-to-end enablement platform, coordinate multimodal labeling, quality review, and structured data validation so datasets are ready for training, testing, and deployment.
Built for real data
Label every modality with the same quality bar.
Configure instructions, task types, and review stages around the data you need, from collection through labeling to training, evaluation, and deployment.
- Image
- Text
- Video
- Speech
- Audio
- Digital interface
- Bounding box
- Polygon
- Segmentation
- Classification
- Transcription
- Entity recognition
Text and documents
Classification, entity recognition, transcription, and correction tasks with clear acceptance criteria for language and LLM workflows.
Speech, audio, and interfaces
Voice detection, speech recognition, audio analysis, and digital interface captures turned into structured, reviewable training signals.
Annotation workspace
Data annotation workflows built for context, quality, and scale.
Keep assignments, feedback, task coordination, and progress visibility in one shared environment.
Multimodal labeling
Label text, images, video, speech, audio, and digital interfaces with workflows tailored to every modality.
Quality review
Validate task outputs against defined criteria, resolve ambiguity, and keep annotations grounded in real-world context.
Flexible configuration
Configure instructions, task types, review stages, and acceptance criteria around the data and outcomes your project needs.
Workflow coordination
Keep assignments, feedback, task coordination, and progress visibility in one shared environment.
From task to trusted signal
Scalable task coordination for applied AI.
Sinorax AI Annotate supports natural language and generative AI, computer vision and multimodal AI, and operational and applied AI with workflows that remain practical as work scales.
- Data review keeps difficult tasks aligned with project requirements.
- Scalable task coordination provides a reliable route from assignment through quality checks.
- Flexible workflows support collaborative and asynchronous annotation work.
Start with a sample
See how your data holds up in review.
Bring a representative set of images, text, audio, or interface captures. We will help define the labeling schema, the review path, and the quality bar before you scale.
Start a project