SuperAnnotate alternative for image annotation teams that want a published price
ImageLabeling is a SuperAnnotate alternative for teams that label images and want to know the price before they book a call. Plans are public: Starter at 49 USD a month, Team with 10 seats at 149 USD, Business with 30 seats at 499 USD, and yearly billing cuts each by about half. You get AI pre-labels for boxes, polygons, masks and keypoints, a labeler and reviewer workflow with consensus, frozen dataset versions and COCO, YOLO and Pascal VOC export. If you label video, text and audio in one editor, SuperAnnotate covers more.
What is the best SuperAnnotate alternative for image labeling?
For image only work, the best SuperAnnotate alternative is a focused tool with a published price and the review features already included. SuperAnnotate lists Starter, Pro and Enterprise plans on its pricing page without dollar amounts, so budgeting starts with a sales conversation. ImageLabeling prints every price, includes seats in the plan, and lets you test AI pre-labels on one of your own images before you buy. The image annotation workflow page shows each step from upload to export.
SuperAnnotate vs ImageLabeling for image annotation
SuperAnnotate details come from superannotate.com/pricing as read in October 2026. Plan prices there are not published, so we compare structure and gating, not dollars.
SuperAnnotate wins when one platform has to hold several data types, when you want a vendor that builds a custom pipeline with you, or when procurement already runs on enterprise contracts. ImageLabeling wins when images are the only data, when the team lead has to name a monthly number, and when you want to be labeling the same afternoon.
| What you compare | SuperAnnotate | ImageLabeling |
|---|---|---|
| Data types | Image, video, text and audio in a customizable multimodal editor | Images only, video frames can be uploaded as images |
| Plans | Starter, Pro and Enterprise | Starter, Team, Business and Enterprise |
| Price shown on the website | No dollar amounts, contact sales | 49, 149 and 499 USD a month, or 24, 74 and 249 USD a month billed yearly |
| Compute | Orchestrate compute hours by plan, 1K on Starter, 2.5K on Pro, 10K on Enterprise | AI pre-labeled images by plan, 1,000 on Starter, 3,500 on Team, 12,000 on Business |
| SSO | Pro and Enterprise | Google and Microsoft SSO on Business, SAML SSO on Enterprise |
| Customer success | Dedicated Slack channel and success manager on Pro, solutions engineer and AI DataOps consulting on Enterprise | Email support on every plan, priority support on higher plans |
| Review | Team and project management on every plan | Labeler then reviewer flow, consensus from Team, QA scores per labeler on Business |
| Export | Annotation formats per project | COCO, YOLO, Pascal VOC and CSV, with frozen dataset versions |
When an image focused tool fits better than SuperAnnotate
Teams comparing more hosted tools can read the same comparison for the Roboflow alternative, the Labelbox alternative and the CVAT alternative.
- You label photos for detection, segmentation or keypoint models and never touch audio or text.
- Your finance contact asks for the annual cost and a quote cycle would delay the project.
- You add labelers for one project and do not want the bill to follow the headcount.
- You want AI pre-labels on every new batch without scoping compute hours.
- You need review with consensus and per labeler QA scores that a manager can read at a glance.
When to stay with SuperAnnotate
In those cases ImageLabeling would cover only the image part of your work.
- You label video, text or audio next to images and want one editor and one set of permissions.
- You need a dedicated solutions engineer or consulting to design the data pipeline.
- Your security review already approved SuperAnnotate and a second vendor would restart it.
- You need compute and orchestration for large custom model workflows.
How to move an image project from SuperAnnotate
Most teams move one project in an afternoon.
- Export the project annotations as COCO from SuperAnnotate and keep the original image files.
- Upload the images to a new ImageLabeling project and import the COCO file. Images match by file name and categories become classes in your schema.
- Send the imported labels to review, so reviewers check old work before it enters a version.
- Run AI pre-labels on the images that were never labeled, then freeze a dataset version.
- Export COCO or YOLO for the next training run. The COCO annotation tool page explains how IDs and categories are kept.
Teams that move image labeling off a platform quote
- Manufacturing quality teams labeling defect photos every week, see defect detection datasets.
- Retail analytics teams that label shelf photos for each new store format, see retail shelf image annotation.
- Robotics teams that retrain pick and place models for every release, see robotics dataset labeling.
- Startups that need a vendor approved this month, not next quarter.
FAQ
What are the alternatives to SuperAnnotate?
Common SuperAnnotate alternatives are Labelbox, Encord and V7 for enterprise multimodal work, Roboflow for labeling plus training and deployment, CVAT and Label Studio for self hosted labeling, and ImageLabeling for hosted image annotation with published flat pricing. Choose by data type first, then by how you want to pay.
How much does SuperAnnotate cost?
SuperAnnotate lists Starter, Pro and Enterprise plans on its pricing page without prices, as of October 2026. Third party sites quote conflicting numbers, so ask the vendor for a written quote. Plan limits on the page include 1K, 2.5K and 10K Orchestrate compute hours for Starter, Pro and Enterprise.
Does SuperAnnotate have a free plan?
SuperAnnotate's pricing page shows a Starter plan, and third party sites disagree about its limits and price. Check the current terms with the vendor before you plan around it. ImageLabeling does not have a free plan, but the homepage demo labels one of your images with AI pre-labels, no account needed.
Can I import SuperAnnotate annotations into ImageLabeling?
Yes. Export the project from SuperAnnotate as COCO, upload the same images to ImageLabeling and import the COCO file. Boxes, polygons and classes arrive as editable objects, so reviewers can check them before you freeze the next dataset version.
Does ImageLabeling support video, text or audio like SuperAnnotate?
No. ImageLabeling labels images only. You can extract frames and label them as images, but there is no video timeline, text editor or audio editor. If those data types are a large part of your work, SuperAnnotate is the better fit.
Can I try ImageLabeling before I buy?
Yes. The demo on the homepage labels one of your own images with AI pre-labels you can edit, with no account needed. Plans start at 24 USD a month billed yearly, and you can cancel anytime.
Label one of your images before you ask for a quote
Drop an image from your current project into the demo and see the AI pre-labels and the editor before you move a single file.