The fastest way to manage, curate and annotate AI data

All the issues from data to model performance - it is complex and challenging. 
With Encord, curate, manage and annotate your data better and see your models improve dramatically. Feel the magic today.

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DICOM & NIfTI

Deploy medical AI products faster with the leading medical annotation tool

Level-up your model development and create high-quality training data up to 10x faster with the most advanced image labeling tool.

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Powering the world's leading AI teams

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Metadata viewer.Search, filter, and slice your data for all defined & custom metadata and sequences associated with your file.

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Maximum intensity Projection.Simply drag and adjust the volume of your displayed images that suits your annotation needs.

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HTJ2K Support.At the forefront of DICOM development, we support the latest transfer syntaxes for DICOM files.

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Distance measurement.Measure real-world distances between any two points on an image to convert pixels into distance accurately.

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Bring your custom models.Label data faster with models-in-the-loop. Bring your own model to Encord seamlessly.

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Programmatically upload data.Use our API/SDK to programmatically upload your projects, datasets, and labels.

Frequently asked questions

Raw data

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30% reduction in dataset size

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Index

Data management & curation

30% reduction in dataset size

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Data management & curation

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AI Models

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Model Prediction

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The fastest way to manage, curate and annotate AI data

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, fine-tuning, and aligning AI models, fast.

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Modalities

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Video captioning

Video Captioning

object segmentation & tracking

Object segmentation & tracking

Audio transcription & speaker diarization

Audio transcription & speaker diarization

Sentiment analysis

Sentiment analysis

OCR text extraction

OCR text extraction

Routing by reasoning

Routing by reasoning

LLM as a judge

LLM as a judge

Multimodal data augmentation

Multimodal data augmentation

Agents Asset

Customize document and text annotation workflows with Encord Agents

Integrate SOTA models such as GPT4o, Gemini Pro 1.5 and more into data workflows to automate and accelerate document annotation processes. Auto-label or preclassify text content to save labeling resource or auto-sort millions of files to streamline data preparation workflows.

Testimonial

Supporting AI teams like yours

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Prajwal Kotamraju

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.

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Markus Kittel

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.

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Camilla Gilrchrist

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.

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Maayan Gerbi

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.

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Anurag Kanungo

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.

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Margaux Masson-Forsythe

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.

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Victor Riparbelli

Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.

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Kit Merker

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.

avatar
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Prajwal Kotamraju

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.

avatar
avatar
Markus Kittel

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.

avatar
avatar
Camilla Gilrchrist

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.

avatar
avatar
Maayan Gerbi

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.

avatar
avatar
Anurag Kanungo

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.

avatar
avatar
Margaux Masson-Forsythe

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.

avatar
avatar
Victor Riparbelli

Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.

avatar
avatar
Kit Merker

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.

avatar

One platform to accelerate multimodal data development

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Video

Audio

Document & Text

DICOM

Annotate audio files for any use case

Take advantage of global or temporal classifications to accurately and efficiently label audio data for any use case.

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Speaker Recognition

Use temporal classifications to annotate characteristics of speech or music files such as emotion and speaker to train Generative AI models.

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Sound Event Detection

Use temporal classifications to annotate elements of audio files containing specific sounds to train audio recognition models.

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Audio File Classification

Use global classifications to categorize and annotate individual audio files.

Encord RESOURCES

Explore other resources

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Webinars

How to build an AI agent on your own data

Learn how to use Encord Agents to integrate foundational models and custom models into your data workflows to build production grade AI models faster. Register now to upgrade your AI data workflows.

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Product

Supporting your labeling needs

Super charge your data annotation with AI-powered labeling — including automated interpolation, object detection and ML-based quality control.

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Whitepaper

Maximizing AI ROI: Why Data Matter Most

Many organizations overlook a crucial first step for successful implementation: getting their data ready for AI. Explore our AI report to gain insight into maximizing AI ROI.

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Significant improvements in workflow efficiency and data accuracy 📄

Maayan Gerbi
Clinical AI Specialist
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Reduced labeling time for 60,000 CT and MRI scans 💫

Leander Mäerkisch
Founder
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70% reduction in annotation hours ⏰

Dr.James Ryan Mason
Neuroradiologist

Built for scale

Effectively supporting datasets of 1,000 or 10,000,000 images

Scale your labeling workflows in one user friendly tool.

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Build truly balanced datasets with ease
Filter and slice datasets in a consolidated visual explorer and export for labeling in one click. Encord supports deep search, filtering, and metadata analysis.
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Rich knowledge structures enhance model context
Build nested relationship structures in your data schema to improve the quality of your model output.
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Bulk classifications
Leverage natural language or similarity search to select large datasets and label en masse, queue for review to drastically accelerate labeling operations.
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