Predictions from documents¶
The following prediction methods are available for Document AI.
|Upload an archive or dataset file for predictions from the UI.
For all other types other than deployment batch predictions, you must include PDF documents as base64-encoded strings. The public API client includes a utility function to help with conversion.
|Use scripting code and base64-converted document files to make an API call and get predictions from the deployed model. The output will be a CSV file with prediction results.
|Portable Prediction Server
|Use base64-converted document files for either single-model or multi-model modes.
|Portable Batch Predictions
|Use base64-converted document files for all supported adapters (filesystem, JDBC, AWS S3, Azure Blob, GCS, Snowflake, Synapse).