Label Studio vs. Encord
Train, evaluate, and fine-tune your AI models with the platform trusted by more than 350,000 data scientists and annotators. See why teams building serious AI programs choose Label Studio Enterprise over Encord.
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Latest version:
# Install the package
# into python virtual environmentpip install -U label-studio# Launch it!label-studio
# Install the caskbrew install humansignal/tap/label-studio# Launch it!label-studio
# clone repogit clone https://github.com/HumanSignal/label-studio.git# install dependenciescd label-studio
pip install poetry
poetry install# apply db migrationspoetry run python label_studio/manage.py migrate# collect static filespoetry run python label_studio/manage.py collectstatic# launchpoetry run python label_studio/manage.py runserver
# Run latest Docker versiondocker run -it -p 8080:8080 -v `pwd`/mydata:/label-studio/data heartexlabs/label-studio:latest# Now visit http://localhost:8080/
Trusted by 350,000+ users across all industries
Why teams choose Label Studio
More than data labeling, Label Studio enables you to combine automation and human supervision to efficiently evaluate, train, and fine-tune models you can trust.
An interface you can actually extend
Label Studio's plugin and extension system gives you an unparalleled level of customizability, allowing you to change and edit the interface to your specific data and use case. Change your interface to match your workflow, not the other way around.
Native RLHF & LLM evaluation
Label Studio Enterprise comes with purpose-built templates for preference data collection, pairwise ranking, multi-turn chat evaluation, agent system assessment, and more. LLM and agentic evaluation is a first-class citizen, not an afterthought.
Keep your data where you need it
Label Studio Enterprise offers both cloud- and fully self-hosted deployment options to ensure that you’re able to meet your regulatory and operational requirements.
Every modality, one platform
Label images, video, audio, text, time series, DICOM medical imaging, and more, all in one configurable interface. Label Studio is the only labeling platform with this level of breadth and depth of customization.
Feature comparison
Label Studio Enterprise vs. Encord
LLM & Generative AI
| Feature | Label Studio Enterprise | Encord |
| RLHF / Human preference data | ✅ Native, purpose-built - pairwise ranking, reward model signal | ⚠️ Limited - not a core product feature |
| LLM evaluation workflows | ✅ Built-in - structured feedback, corrections, critiques | ❌ Not available |
| Multi-turn chat evaluation | ✅ Supported - human-in-the-loop supervision | ❌ Not available |
| Interactive LLM labeling backends | ✅ OpenAI, Azure OpenAI, Ollama | ⚠️ GPT-4o integration only |
| Agent system evaluation | ✅ Supported - text, image, code | ❌ Not available |
Data Types & Modalities
| Feature | Label Studio Enterprise | Encord |
| Image annotation | ✅ Supported | ✅ Supported |
| Video annotation | ✅ Supported | ✅ Supported - object tracking, temporal interpolation |
| Audio annotation | ✅ Supported | ✅ Supported |
| Text / NLP annotation | ✅ Full support | ⚠️ Limited - weak for NLP vs. CV workflows |
| Time series annotation | ✅ Supported - industrial AI, sensor data | ❌ Not available |
| DICOM / Medical imaging | ✅ Supported | ✅ DICOM + NIfTI |
Platform & Deployment
| Feature | Label Studio Enterprise | Encord |
| Self-hosted / on-prem deployment | ✅ Available - full data sovereignty | ❌ Cloud-only |
| Open source edition | ✅ Label Studio OSS - free, community-supported | ❌ Fully proprietary |
| Labeling interface customization | ✅ Plugin & extension system - bespoke workflow support | ⚠️ Modality-specific editors - less flexible for non-standard tasks |
| Custom ML backend API | ✅ Any model via API | ✅ Via SDK |
| Active learning / data curation | ✅ Via ML backend - semantic & similarity search (expanding) | ✅ Encord Active |
| AWS Marketplace listing | ✅ Available | ❌ Not available |
Enterprise & Security
| Feature | Label Studio Enterprise | Encord |
| SSO / LDAP / RBAC | ✅ Full support | ✅ Full support |
| Audit logs | ✅ Included | ✅ Included |
| SOC 2 / HIPAA / GDPR | ✅ Compliant | ✅ Compliant |
| Uptime SLA | ✅ Enterprise SLA included | ✅ Available |
| Cloud storage (S3, GCS, Azure) | ✅ All three | ✅ All three |
SECURITY
Stay secure, end-to-end
Secure your data
Enforce existing security and compliance policies with full control over data storage and access. Centrally manage identities and permissions with RBAC and SSO (SAML/LDAP).
Get peace of mind
Meet compliance needs and regulatory requirements with a SOC2-certified platform backed by industry-accepted best practices and frameworks. Stay in the know with full activity logs, and rest assured with a 99.99% uptime SLA.
Work your way
Deploy the HumanSignal platform as a hosted cloud platform with continual updates and maintenance, or on-prem in your own secure environment. Both backed by a dedicated enterprise support team.
Frequently Asked Questions
Can I migrate from Encord to Label Studio Enterprise?
Yes. Label Studio supports standard export formats and provides a Python SDK for custom data migration workflows. The HumanSignal team works with enterprise customers on migration projects during the evaluation process. Contact us to discuss your specific data types and volumes.
Does Label Studio Enterprise meet or exceed the same compliance requirements as Encord?
Yes. Label Studio Enterprise meets SOC 2, HIPAA, and GDPR requirements. For teams requiring full data residency control, Label Studio's self-hosted deployment option provides an additional layer that Encord's cloud-only architecture cannot match.
Is Label Studio OSS the same as Label Studio Enterprise?
Label Studio OSS is a free, self-hosted community edition with wide adoption. Label Studio Enterprise is the commercial product built on top of it, adding SSO, LDAP, RBAC, advanced analytics, uptime SLAs, priority support, RLHF templates, and interactive LLM labeling backends.
Can I self-host Label Studio Enterprise in an air-gapped environment?
Yes. Label Studio Enterprise supports on-premises deployment for organizations with strict data residency requirements, including air-gapped environments. Contact our team to discuss infrastructure requirements and deployment architecture for your use case.
See Label Studio Enterprise in action
Talk to our team about how Label Studio compares to Encord for your specific use case.