# OCR ### Optical Character Recognition Computer-readable text can be extracted from images or scanned documents using a process called optical character recognition, or OCR. To ensure the accuracy and comprehensiveness of the data gathered, OCR systems must test for outliers and missing values. This is particularly important in domains such as data input, financial document analysis, medical records, document verification, and manufacturing quality control, where OCR helps to identify anomalies and discrepancies in recognised text, thereby safeguarding against errors and ensuring data integrity. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.raga.ai/ragaai-prism/test-inventory/ocr.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.