Building a high-quality image dataset can be a daunting task, especially when it involves extensive manual labeling. Fortunately, with the Encord Agents, you can automate the process of text labeling, making your workflow more efficient and accurate. OCR enables the extraction of text from images, transforming it into editable and searchable data, which is incredibly useful for labeling datasets that contain images with embedded text. By automating this process with Encord Agents, you can save time and ensure consistency in your annotations. To set up and use Encord Agents, users need to upload their data to the platform, define a task, set up a server, register the agent, test it, and then automate data labeling by triggering the agent in the Label Editor. By automating text extraction from images, this process saves time and ensures consistency in labeling, reducing manual effort and allowing annotators to focus on refining annotations rather than repetitive tasks.