Documents
Label documents faster with multimodal context
Accurately label documents and text files alongside multimodal data to train and fine-tune high-performing NLP Models and LLMs.
Trusted by pioneering AI Teams
Achieve high quality document and text annotation with granular tooling
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
PDF Text Extraction
Sentiment Analysis
Question Answering
Translation
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.
Use cases
Curate, search and organize large document and text datasets
Centralize, explore and organize large document datasets. Search and sort by custom embeddings, text content, and other metadata attributes.
Upload millions of documents in minutes
Seamlessly unify documents across multiple fragmented data sources, teams and projects to one platform, alongside other multimodal datasets.
Explore large document and text datasets in seconds
Flexibly understand and curate petabytes of documents with ease using granular filtering by metadata and data attributes as well as embeddings based and natural language search capabilities.
Testimonial
Supporting AI teams like yours
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.
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.
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.
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.
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.
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.
Victor Riparbelli
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
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.
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.
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.
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.
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.
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.
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.
Victor Riparbelli
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
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.
One platform, multimodal possibilities
Seamlessly manage, curate, annotate and evaluate multimodal data on one platform. Automatically consolidate and transform unstructured data across multiple teams, projects and modalities into high-quality data for training and fine-tuning AI models.
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.
New
Analyze and annotate multimodal data in one view
Customize the label editor layout to suit any data labeling workflow.
Take control of your ML pipeline with Encord
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.