Audio and Speech Labeling Services by Industry Practitioners

We don’t have a strict minimum in terms of data volume. Instead, we approach each project based on its complexity, annotation type, and quality requirements.

For example, labeling 100 images with one object per frame using bounding boxes might take just a few hours. But 100 images with 10+ objects per frame, labeled with polygons or instance masks, would be significantly more time-consuming and costly. Because of this variability, we scope projects individually and provide a tailored quote after reviewing your dataset and requirements.

That said, our minimum project budget starts at $5,000. This helps ensure we can allocate the right experts, maintain quality control, and deliver results that meet our standards. If you're unsure whether your project fits, feel free to reach out — we're happy to review your data and advise.

Our typical turnaround time for contracted projects is approximately 1 month, though we always strive to deliver results faster when possible.

Absolutely. We maintain a team of 300+ qualified annotators that we can scale up or down based on your volume requirements. We can also adjust our resources to match your data collection and training workflow and provide continuous annotation support through our subscription service model.

Your data will be handled by our in-house team of annotation specialists. Each team member has undergone comprehensive training and has experience with dozens of annotation projects, ensuring consistent, high-quality results.

Getting started is simple. Fill out our contact form to discuss your project requirements and timeline.

We provide comprehensive annotation services for images and video, including classification, object detection, segmentation, keypoint annotation, tracking, and action recognition. Our team adapts to your specific project requirements and data formats.

Yes, we encourage pilot projects. During the project evaluation stage, we offer a free proof of concept that allows us to assess your data and requirements, define the budget, demonstrate our annotation quality, and introduce you to the CVAT platform where we perform the labeling work.