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. See Error Glossary for more details.
Error detail if processing fails. See Error Glossary for more details.
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