Annotation & Labeling
Build training datasets, audit model predictions, or label content for compliance. Define your own taxonomy and get human-verified classifications with label distributions and agreement metrics. Supports text, images, audio, and video.
Content Moderation
You have a batch of user-generated content and need it labeled for policy compliance. Reviewers categorize each item into your custom label set — safe, borderline, violation, or whatever you define. Get label distributions and agreement metrics per item, and scale to thousands when you need production-grade moderation data.
Image Classification
You have a set of images and want them sorted into categories. Define your label taxonomy and get human-verified classifications with confidence scores. Scales to large datasets with inter-annotator agreement for ML training data, QA, or content tagging.
Sentiment Analysis
You have a CSV of customer reviews or support tickets and want them labeled by sentiment. Reviewers classify each one as positive, neutral, or negative — or whatever labels you define. Great for building training data or auditing ML model predictions at any scale.
Audio Transcription
You have audio clips and want accurate text for each one. Reviewers listen and write out what they hear, giving you human transcriptions you can trust. Supports mp3, wav, ogg, flac, m4a, and other common formats.
Image Description
You have images and want human-written descriptions of what's in them. Useful for alt-text generation, accessibility audits, or training vision models. Each reviewer describes what they see, and you get multiple perspectives per image.