SUPERANNOTATE vs ENCORD
Accurately label and curate multimodal AI data 6x faster
Streamline your multimodal AI data curation and annotation pipeline to achieve labeled high-quality training data 10x faster. Use advanced data annotation tools, intelligent AI-driven automation, customizable workflows, and model evaluation to improve AI model performance at scale without compromising speed or security.
Powering the world's leading AI teams
One platform, multimodal possibilities
Manage, curate, and label multimodal data types 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. Accurately label text content for training and fine-tuning LLMs and NLP models at speed whilst ensuring model scalability.
Text Classification
Categorize whole files or specific text strings and content into predefined topics or groups for training and fine-tuning high-performing language models.
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 to train and fine-tune high-performing natural language processing models and LLMs.
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 Annotation Types
Consolidate and scale video 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
Audio Annotation Types
Consolidate and scale audio data management, curation and annotation workflows on one platform without compromising speed or security.
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.
Image Annotation Types
Create high-quality training computer vision data up to 10x faster with the most advanced image labeling tool.
Semantic Segmentation
Related Object Detection
Rotatable Bounding Boxes
LIGHTNING FAST
Get better labeled training data 10x faster
Supercharge data curation and labeling processes with advanced customizable QC & QA workflows.
Master complexity with ontologies
We offer the industry’s most advanced labeling ontologies enabling you to create as many nested classifications to support your data labeling process and help you create ground truth datasets.
Customizable workflows with Encord Agents
Combine Human-in-the-Loop workflows with AI automation using SOTA AI models such as GPT4o, Gemini Pro 1.5 natively within Encord to automate data curation and labeling processes.
AI-assisted labeling with SAM
Access SAM 2 natively within Encord to automate object detection and pre-labeling for faster and more accurate mask prediction and object tracking. Accelerate computer vision model development with high-quality datasets.
In-depth performance analytics
Uncover real-time 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 customers say
We now have an integrated, one-stop solution for data management and data labeling as well as model performance validation to create feedback mechanisms to improve AI data annotation and ML models.
Encord’s DICOM annotation tool captures the shape of the pathology and performs label interpolation on the slices the annotators skipped. In a medical imaging case with 100 slices, annotators only have to label about 30 images.
Encord’s data labeling platform made it very easy to centrally keep track of annotations, including project management key features and clear tracking for annotations and reviews. It also has this great polygon interpolation tool which was especially useful.
It’s always about balancing speed and annotated data quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation throughput 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 and ease of use, 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 using quality metrics and metadata.
Encord’s user friendly interface made it very easy to centrally keep track of data annotations, including who had made them and who had reviewed them to ensure quality control throughout. It also has this great interpolation tool which was especially useful.
We now have an integrated, one-stop solution for data management and data labeling as well as model performance validation to create feedback mechanisms to improve AI data annotation and ML models.
Encord’s DICOM annotation tool captures the shape of the pathology and performs label interpolation on the slices the annotators skipped. In a medical imaging case with 100 slices, annotators only have to label about 30 images.
Encord’s data labeling platform made it very easy to centrally keep track of annotations, including project management key features and clear tracking for annotations and reviews. It also has this great polygon interpolation tool which was especially useful.
It’s always about balancing speed and annotated data quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation throughput 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 and ease of use, 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 using quality metrics and metadata.
Encord’s user friendly interface made it very easy to centrally keep track of data annotations, including who had made them and who had reviewed them to ensure quality control throughout. It also has this great interpolation tool which was especially useful.
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 data curation workflows, siloed annotation tools, and notebooks for preparing high-quality data for training and fine-tuning AI applications. Encord's data curation and labeling platform accelerates ML pipelines, enabling teams to deploy high-performing production grade AI models at speed.
