> ## Documentation Index > Fetch the complete documentation index at: https://docs.affinda.com/llms.txt > Use this file to discover all available pages before exploring further. ## Submitting Feedback If you encounter incorrect, outdated, or confusing documentation on this page, submit feedback: POST https://docs.affinda.com/feedback ```json { "path": "/reference/metadata", "feedback": "Description of the issue" } ``` Only submit feedback when you have something specific and actionable to report. # Metadata > Reference for field and document metadata returned in the Affinda API response, including bounding boxes, page numbers, parsed values, and confidence scores. In addition to the specific data extracted from the documents, the API response includes field- and document-level metadata to assist with document processing. ## Field-level metadata Identifier associated with the specific data point x/y coordinates for the rectangular bounding box containing the data The page that the data is found on Raw data extracted before any processing and formatting Overall confidence that the extracted data is correct Confidence that the model classified the data correctly Confidence that text was correctly extracted from the document Indicates whether the data has been validated by any means Indicates whether the data has been validated by a human Indicates whether the data was auto-validated Unique identifier associated with this data field Type of data (text, date, date-time, enum, location, float or decimal) Parsed data after post-processing and mapping ## Document-level metadata Unique identifier for the document (can be supplied on upload) Optional file name of the document True when the document has finished processing Date-time when the document became ready True if an exception occurred during processing ISO-8601 date-time when the document will be auto-deleted The document’s language URL to the PDF version of the document Identifier of the original document if this one was split Identifiers of child documents if this one was split further Total number of pages Whether OCR was applied to extract text Overall confidence in OCR text extraction Signed URL (60 min) for human review Extractor (AI model) associated with the collection Collection that the document belongs to Workspace containing the collection and document When the document was archived Whether the document is archived When the document was confirmed Whether the document is confirmed When the document was rejected Whether the document is rejected When the document was created in Affinda Error code if processing fails. Error detail if processing fails. URL to view the original file Tags applied to the document User who last confirmed the document User who last archived the document Email file URL if the document was created via email ingestion