Managed Label Studio Hosting — production-ready from $15 a month
Data labeling platform for machine learning. Deployed on your own dedicated instance in AWS, Azure, or GCP, kept patched, backed up, and monitored by ManageStacks — standard Label Studio, no lock-in.
Label Studio is a multi-type data labeling and annotation platform for training machine learning models. ManageStacks deploys Label Studio with persistent storage, team management, and automated backups.
What does Label Studio do, and why do teams deploy it?
Label Studio is an open-source data labeling platform that supports annotation for text, images, audio, video, time series, and multi-modal data. It provides a flexible, configurable interface that adapts to a wide range of machine learning tasks including NER, classification, object detection, and transcription.
With support for pre-annotation using ML backends, quality review workflows, and export to all major ML formats, Label Studio streamlines the data preparation pipeline. It integrates with cloud storage for large datasets and supports team collaboration with task assignment and agreement metrics.
- Multi-data-type labeling: text, image, audio, video
- Configurable labeling interfaces with templates
- ML-assisted pre-annotation for faster workflows
- Annotation review and quality agreement metrics
- Cloud storage integration for S3, GCS, and Azure
- Export to COCO, Pascal VOC, YOLO, and custom formats
Data labeling platform for machine learning
What does managed Label Studio hosting cost?
Flat per-app pricing, in your chosen AWS, Azure, or GCP region. No per-user pricing — a busy deployment costs the same as a quiet one.
Starter
Staging and internal tools. Dedicated instance, TLS, daily backups, managed upgrades.
Standard
Production workloads. Adds monitoring, staging environment, region choice, priority support.
Business
High-traffic and compliance workloads. Adds a high-availability replica and same-day support.
24×7 SRE retainer
Round-the-clock on-call across every hosted application, for teams that need a pager answered at 3am.
When is self-hosting Label Studio the right answer instead?
“Managed hosting is not always the correct call.”
Self-host when a platform team already runs the infrastructure and on-call rotation to operate Label Studio at genuinely low marginal cost. Self-host when compliance requires an air-gapped or on-premises deployment that no hosted option can satisfy. And self-host when the deployment depends on heavy customisation with a fast internal build-deploy loop, because an internal release process will beat any managed change process.
For everyone else — teams whose engineers have better things to do than shepherd upgrades — managed hosting is cheaper than the hours it replaces.
Which cloud should Label Studio run on — AWS, Azure or GCP?
For most workloads, the choice of cloud matters less than proximity: run Label Studio in the same cloud and region as the applications and data it talks to, because every request between them adds a round trip. The underlying compute performs equivalently across AWS, Azure, and GCP.
In practice, an existing cloud footprint decides it. All plans support all three clouds, and moving regions later is a scheduled migration, not a rebuild.
Deepest managed-service catalog, default when there's no existing footprint
Best fit for teams already on Microsoft 365 or Entra ID
Strongest for data/analytics-adjacent workloads
Every plan supports AWS, Azure, and GCP — region choice included.
Common questions about Label Studio on ManageStacks
Can Label Studio on ManageStacks connect to my cloud storage for datasets?
Yes. ManageStacks configures Label Studio to connect to your S3, GCS, or Azure Blob storage buckets for importing and syncing large datasets without storing them locally.
Does ManageStacks support ML backends for Label Studio pre-annotation?
ManageStacks can deploy Label Studio alongside ML backend containers that provide pre-annotations. This accelerates labeling by giving annotators model predictions to review rather than starting from scratch.
How does ManageStacks handle Label Studio backups?
ManageStacks runs automated daily backups of the PostgreSQL database that stores all projects, annotations, and user data. Uploaded local files are also backed up to persistent storage.
Run Label Studio without carrying the pager
Subscribe through your AWS, Azure, or GCP marketplace. We handle provisioning, SSL, monitoring, backups, updates, and security. From $15/mo.