What AnnotateAI delivers
Built for teams who label images and video
AnnotateAI turns spoken descriptions into structured annotations — faster, cheaper, and accessible to everyone on your team. Here's what the platform does and the use cases it's built for.
6x
Faster than typing
Annotate images and video by speaking instead of clicking.
95%+
Accuracy (varies by detection)
High-quality structured output, validated by AI models.
70%
Cheaper than Scale AI
Cut your annotation budget without cutting quality.
8
Export formats
YOLO, COCO, Pascal VOC, JSON, DICOM-SEG and more.
Use cases AnnotateAI is built for
Wherever you need images or video labeled, voice-first annotation speeds it up.
Autonomous Vehicles & Drones
Label driving footage and aerial imagery
Annotate vehicles, pedestrians, road scenes and obstacles across millions of frames — described by voice, structured into YOLO/COCO automatically.
Medical Imaging
Annotate radiology scans with DICOM support
X-ray, MRI, CT and ultrasound annotation across 8 detection models. Built for radiology teams who need structured, exportable labels.
Retail & E-Commerce
Classify and tag product catalogs at scale
Brand, color, condition, stock status — spoken once, structured forever. Ideal for catalog and recommendation-engine training data.
Industrial & Robotics Vision
Power perception systems for robots
Object detection, scene understanding and quality inspection for robotics, warehouse automation and industrial vision pipelines.
Annotation everyone can do
Because AnnotateAI is voice-first, people who can't easily use a keyboard or mouse — including people with disabilities — can do real annotation work just by speaking. Productive, inclusive, and a genuine advantage for your team.
See it for yourself
Try 3 free annotations — no signup, no credit card. Speak, and watch structured JSON appear in seconds.