Encord
5.6#8 in ai image segmentation softwareWebAPISelf-hosted
VisitEncord vs Prodigy
What both publish
| Fact | Encord | Prodigy |
|---|---|---|
| Annotation | The platform supports human-in-the-loop labeling and review for image, video, audio, text, DICOM, LiDAR, geospatial, ECG, and other data. | Its customizable browser-based app supports annotation workflows for text, images, audio, video, relations, multiple choice, and more. |
| Integrations | Cloud storage integrations named on the site include AWS S3, Azure Data Lake Storage, and Google Cloud Storage; users can access projects, datasets, and annotations through API/SDK. | Prodigy has first-class support for spaCy, plugins for Hugging Face models, and integrations with major LLM API providers. |
| Support | The listed plans include self-serve support for Starter, onboarding support for Team, and enterprise SLA and support for Enterprise. | The Personal license includes community forum support; Company licenses include priority forum and email support. |
Encord plans
- EnterprisePriced on request
- StarterPriced on request
- TeamPriced on request
Prodigy plans
- Personal$390, paid once
- Company$490, paid once
Pick Encord if…
Encord suits AI individuals, teams, and enterprises managing multimodal labeling, curation, and evaluation. It is relevant when API access, varied deployments, and specialized annotation types are needed.
Pick Prodigy if…
Prodigy suits developers building machine-learning data workflows, especially those who need local or air-gapped operation. Annotation tasks can be completed in the web app without programming, but the tool assumes basic Python and command-line familiarity.