Label text faster with multimodal context
Accurately label documents and text files alongside multimodal data to train and fine-tune high-performing NLP Models and LLMs.
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.
Categorize whole files or specific text strings and content into predefined topics or groups.
Identify and classify named entities within documents, such as people, organizations, locations, dates, and times.
Verify the quality of text extracted from PDFs using OCR or other techniques.
Label sentiment conveyed in words or sentences, including emotions such as positive, unhappy or indifferent.
Categorize sections of text to reflect answers to questions about document content.
Use free text fields to seamlessly label and translate text.
Customize text annotation workflows with 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.
Analyze and annotate multimodal data in one view
Customize the label editor layout to suit any data labeling workflow.
Curate, search and organize large document and text datasets
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.
Supporting leading AI teams
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 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.
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 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.
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.
Enterprise-grade.
Built for scale.
Designed for reliable AI.
Built for scale.
Designed for reliable AI.
API/SDK-first. Zero data migration. Your data stays in your cloud.
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Get the data right
300+ of the best AI teams in the world use Encord. Join them.