LABEL STUDIO vs ENCORD
Scale up multimodal AI development with advanced data labeling and curation
Ready to scale up your multimodal AI development? Join leading AI teams leaving Label Studio and switch to Encord's enterprise-grade data annotation, curation, and model evaluation platform.
One platform, multimodal possibilities
Manage, curate, and label multimodal data such as image, video, audio, document, text and DICOM files – all on one platform. Transform petabytes of unstructured data into high quality data for training and fine-tuning AI models, fast.
Documents & Text
Classify and annotate whole files as well as specific text and content within files with functionality to suit any use case.
Text Classification
Categorize whole files or specific text strings and content into predefined topics or groups.
Named Entity Recognition
Identify and classify named entities within documents, such as people, organizations, locations, dates, and times.
PDF Text Extraction
Verify the quality of text extracted from PDFs using OCR or other techniques.
Sentiment Analysis
Label sentiment conveyed in words or sentences, including emotions such as positive, unhappy or indifferent.
Question Answering
Categorize sections of text to reflect answers to questions about document content.
Translation
Use free text fields to seamlessly label and translate text.
Video and Audio
Consolidate and scale video & audio data management, curation and annotation workflows on one platform without compromising speed or security.
Frame-By-Frame Dynamic Attributes
Capture evolving object behavior in videos using dynamic attributes, ensuring the most accurate and representative annotations for video data.
Multiview Annotation
Panoptic Segmentation
File Classification
Use global classifications to annotate audio files
Speaker Recognition
Use temporal classifications to annotate characteristics of speech or music data such as emotion. speaker and more to train audio recognition AI models.
Sound Event Detection
Use temporal classifications to annotate elements of audio files containing specific sounds.
Images
Create high-quality training data up to 10x faster with the most advanced image labeling tool.
Semantic Segmentation
Related Object
Rotatable Bounding Boxes
Multimodal Annotation for Any Use Case
Leverage multimodal context to achieve high-quality data annotation at scale. Customize the label editor layout to suit any data labeling workflow.
Compare speech audio data and text transcripts
Annotate documents, images and videos together
Label and analyze DICOM files and PDF reports
Set up Reinforcement Learning Human Feedback
LIGHTNING FAST
Get better labeled training data 10x faster
Supercharge data curation and labeling process with customizable ontologies, advanced workflow orchestration, AI-assisted labeling, agents, and in-depth analytics.
Master complexity with ontologies
We offer the industry’s most advanced labeling ontologies enabling you to create as many nested classifications to support your labeling operation and help you create a better Ground Truth.
Customized workflows with Agents
Leverage SOTA models such as GPT4o, Gemini Pro 1.5 or bring our own agents to automate data curation and labeling processes.
AI-assisted labeling with SOTA foundation models
Integrate SOTA models (e.g. SAM 2) or your own models directly into your annotation workflow to automate pre-labeling. Create pixel-perfect masks in a single click and dramatically save labeling time.
In-depth performance analytics
Uncover data-driven insights on label quality and annotator performance to optimize workforce efficiency and ensure model excellence.
Manage, curate, annotate and evaluate your data on one platform
Unify multiple data management tools to one platform for more efficient data development workflows driving improved AI model performance at lower cost.
Manage & Curate
Annotate & Review
Evaluate & Monitor
Testimonial
What our clients say
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.
Encord’s DICOM annotation tool captures the shape of the pathology, interpolating the label on the slices the annotators skipped. In a case with 100 slices, annotators only have to label about 30 images.
Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.
Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
Getting started with Encord and integrating it into our workflow was really fast. The thing that I find the most valuable is the flexibility of how we can integrate the Encord pipeline into our own pipeline.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening.
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.
Encord’s DICOM annotation tool captures the shape of the pathology, interpolating the label on the slices the annotators skipped. In a case with 100 slices, annotators only have to label about 30 images.
Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.
Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
Getting started with Encord and integrating it into our workflow was really fast. The thing that I find the most valuable is the flexibility of how we can integrate the Encord pipeline into our own pipeline.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening.
Integration
Integrate seamlessly
Connect your secure cloud storage, MLOps tools, and much more with dedicated integrations that slot seamlessly into your workflows.
Security
Built with security in mind
Encord is SOC2, HIPAA, and GDPR compliant with robust security and encryption standards.
API/SDK
Developer-friendly for easy access
Leverage our API/SDK to programatically access projects, datasets & labels within the platform via API.
Forget fragmented workflows, annotation tools, and Notebooks for building AI applications. Encord's Data Development platform accelerates every step of taking your model into production.
