Roboflow
8.3#1 in ai image recognition softwareFrom $39 a monthFree planAndroidiOSWebAPI
VisitRoboflow vs SuperAnnotate
SuperAnnotate
5.9#17 in ai image annotation toolsWebAPImacOSWindows
VisitWhat both publish
| Fact | Roboflow | SuperAnnotate |
|---|---|---|
| Company history | Roboflow says Brad Dwyer and Joseph Nelson launched the company in 2020 after working on a computer vision project in 2019. | The company says it was founded in August 2018 and moved its headquarters to Silicon Valley in January 2019. |
| Founded | 2020 | 2018 |
| Integrations | Roboflow lists 38 integrations, including AWS S3, CVAT, Labelbox, Amazon SageMaker, Google Colab, Kubernetes, Jetson, Raspberry Pi, iOS, and Zapier. | Listed dataset integrations include AWS, Google Cloud, Azure, Snowflake, Databricks, and custom storage; the company also lists NVIDIA, AWS, Databricks, GCP, Snowflake, and IBM partnerships. |
| Support | Roboflow provides a knowledge base, developer documentation, forums, YouTube tutorials, and enterprise priority support by email and in-app chat. | The Pro and Enterprise plans list a dedicated Slack channel and dedicated customer success manager; Enterprise also lists a dedicated solutions engineer. |
Roboflow plans
- Free TierFree
- Core$39 a month
- EnterprisePriced on request
SuperAnnotate plans
- EnterprisePriced on request
- ProPriced on request
- StarterPriced on request
Pick Roboflow if…
Roboflow suits developers and enterprises building computer vision applications, especially teams that need annotation, model deployment and dataset collaboration. Its self-hosting, VPC and on-premise options may suit organizations with deployment or data-sovereignty requirements.
Pick SuperAnnotate if…
SuperAnnotate suits AI teams preparing and managing datasets across varied modalities. Its workflows, analytics, APIs, and collaboration features may fit teams coordinating models and human experts.