Image processing requires image normalization to make images more uniform for downstream processing. Extracted text is queued for text processing, if applicable. Extracted images are queued for image processing. Review service tier limits to make sure that your source data is under maximum size and quantity limits for indexers and enrichment.Įxtracting images from the source content files is the first step of indexer processing. Alternatively, you can authenticate using Azure Active Directory (Azure AD) or connect as a trusted service.Ĭreate a data source of type "azureblob" that connects to the blob container storing your files. If you're using a full access connection string that includes a key, the key gives you permission to the content. There are three main tasks related to retrieving images from a blob container:Įnable access to content in the container. If there are more than 1000 images in a document, the first 1000 will be extracted and a warning will be generated.Īzure Blob Storage is the most frequently used storage for image processing in Cognitive Search. A maximum of 1000 images will be extracted from a given document. Images are either standalone binary files or embedded in documents (PDF, RTF, and Microsoft application files). Image analysis supports JPEG, PNG, GIF, and BMP.Image processing is indexer-driven, which means that the raw inputs must be in a supported data source. Optionally, you can define projections to accept image-analyzed output into a knowledge store for data mining scenarios.
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