No hidden fees. There is no fine print to read.
Here are our pay as you go rates:

Vector annotations

$0.07 per bounding box
$0.18 per polygon
$0.05 for no annotations

Pre-labels validation*

$0.05 per bounding box
$0.13 per polygon
$0.05 for no annotations

*Pricing is based on the final annotation count.

Image classification

$0.05 first class
$0.03 subsequent classes
Pay as you go

Self service

$50 free credit
No minimum spend or platform fees.
Access to our trained annotators
Powerful QA tools to manage quality
Iterate with labeling insights
Great for proof of concept (POC)
Scale up or scale down any time
Start project


Volume-based rates
+ product customizations
A fully-managed data labelling service.
Dedicated Annotation Managers
Elite team of annotators
Enterprise grade quality & throughput SLAs
Scale up or scale down any time
Speak to Sales
Self Service
Annotation Management Platform
Trained annotators
QA tools
Scale up or scale down any time
Fully managed service
Access to elite annotators
Project-specific training for annotators
Volume pricing
Product customizations

Got a question?

Read our documentation or get in touch if you have any more questions.
Who will label my data?
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Our expert annotators will label your data (after undergoing a stringent series of training courses and assessments, of course). They are remote annotators who work part-time on different projects available via our platform. Annotators are assigned to projects automatically once they are qualified for the tasks.

What output formats are supported?
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Currently, we only support COCO JSON output format. We'll be introducing other output formats soon. If you require another output format, drop us a message here.

How quickly can I expect to receive annotated images?
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Our annotators will start labeling your data as soon as you start a project. One of our users received annotated images with around 2,500 annotations in less than 2 hours. Note: turnaround time varies according to the complexity of the project.

How do I manage labeling quality on BOLT?
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Before you start, provide clear labeling instructions so our annotators understand how to label your images accurately. Our annotators will also help you surface label noise through our built-in collaborative feedback loop.

Who has access to my data?
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Your data is only visible to human labelers throughout the labeling process. We will not share or use your data for any reason other than the labeling.

Bryce Wilson
Data Engineer at

Consistent support

If there's one thing that makes SUPA stand out, it's their commitment to providing consistent support throughout the data labeling process. The team actively and efficiently engaged with us to ensure any ambiguity in the dataset was cleared up.

Jonas Olausson
Data Engineer at Black AI
The best interface for self-service labeling.

Everything from uploading data to seeing it labeled in real time was really cool. This is just way simpler to use compared to Amazon Sagemaker and LabelBox. I was also very impressed with how the platform delivered exactly what we needed in terms of label quality.

Sravan Bhagavatula
Director of Computer Vision at Greyscale AI
Launch a revised batch within hours

I was also able to view the labels as they were being generated, which gave me quick feedback about the label quality, rather than waiting for the whole batch. This replaced my standard manual QA process using external tools like Voxel's Fiftyone, as the labels were clear and easy to parse through in real-time.

Sparsh Shankar
Associate ML Engineer at Sprinklr
Really quick

The annotators were really quick. I would upload and 5 minutes later - 10 images done. I checked 5 minutes later - 100 images done.

Puneet Garg
Head of Data Science at Carousell
Good quality judgments

The team at [SUPA] has been very professional & easy to work with since we started our collaboration in 2019. They've provided us with good quality judgments to train, tune, and validate our Search & Recommendations models.

Book a demo

Let us walk you through the entire data labeling experience, from set up to export

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