--- schema_version: "1" id: f7f244de85cbaf5eb9e5f2f87b67bb8abd303dbfe3a35e61d861878af6ec88a7 title: Document AI Example Schemas collection: admin version: current locale: en-us portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_document_ai_schema_ref.md canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_document_ai_schema_ref.htm&release=264.0.0&type=5 source_site: help.salesforce.com content_type: documentation content_hash: 70e7ba554c95809773d9f01e44885ba20ac62cebc06bceff3715a7d55ac23495 description: The following prompts are JSON-formatted schemas that you can use when creating an Document AI configuration in Data 360. Use these examples as starting points, or modify them for your specific use cases. products: - Data 360 release: "264" --- # Document AI Example Schemas The following prompts are JSON-formatted schemas that you can use when creating an Document AI configuration in Data 360. Use these examples as starting points, or modify them for your specific use cases. ## Lab Report Create an output DLO from a pathology lab report. ```json { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "title": "Pathology Report Schema", "properties": { "lab_name": { "type": "string", "description": "Name of the pathology lab" }, "lab_contact": { "type": "string", "description": "Contact number of the lab" }, "lab_email": { "type": "string", "description": "Email address of the lab" }, "lab_address": { "type": "string", "description": "Full address of the lab" }, "lab_website": { "type": "string", "description": "Website URL of the lab" }, "patient_name": { "type": "string", "description": "Name of the patient" }, "patient_age": { "type": "string", "description": "Age of the patient" }, "patient_sex": { "type": "string", "description": "Sex of the patient" }, "patient_id": { "type": "string", "description": "Patient identification number" }, "sample_collection_address": { "type": "string", "description": "Address where the sample was collected" }, "referred_by": { "type": "string", "description": "Name of the referring doctor" }, "registration_date": { "type": "string", "description": "Date and time of registration" }, "collection_date": { "type": "string", "description": "Date and time of sample collection" }, "report_date": { "type": "string", "description": "Date and time of report generation" }, "test_name": { "type": "string", "description": "Name of the test conducted" }, "test_result": { "type": "number", "description": "Result value of the test" }, "result_remarks": { "type": "string", "description": "Remarks based on the test result" }, "reference_value": { "type": "string", "description": "Reference value for the test" }, "unit": { "type": "string", "description": "Unit of measurement for the result" }, "interpretation_table": { "type": "array", "items": { "type": "object", "description": "Table for interpretation of results", "properties": { "result_index": { "type": "string", "description": "Range of result index" }, "remarks": { "type": "string", "description": "Remarks corresponding to the index range" } } }, "description": "Table for interpretation of results" }, "comments": { "type": "string", "description": "Additional comments about the test" }, "report_signatories": { "type": "array", "items": { "type": "object", "properties": { "signatory_name_role": { "type": "string", "description": "This is name of the signature along with any salutation" }, "signatory_qualification": { "type": "string", "description": "These are any of the qualifications or title associated with the signatory" } } } } } } ``` ## Invoice Create an output DLO from an invoice. ```json { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "title": "Invoice Schema", "properties": { "VendorName": { "type": "string", "description": "Name of the vendor issuing the invoice" }, "Vendor Address": { "type": "string", "description": "Full address of the vendor" }, "Vendor Phone number": { "type": "string", "description": "Phone number" }, "Billing Address": { "type": "string", "description": "Full name and address of the billing entity" }, "Product Item List": { "type": "array", "items": { "type": "object", "description": "Table containing the list of products", "properties": { "Item ID": { "type": "string", "description": "Item id" }, "Item Description": { "type": "string", "description": "Full description for the item" }, "Quantity": { "type": "number", "description": "Number of items" }, "Unit Price": { "type": "number" }, "Line total": { "type": "number", "description": "Line total for the product line item" } } }, "description": "Table containing the list of products" }, "Total amount": { "type": "number" } } } ``` ## Resume Create an output DLO from a resume. ```json { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "title": "Resume Schema", "properties": { "Candidate First Name": { "type": "string", "description": "Candidate's first name" }, "Candidate Surname": { "type": "string", "description": "Candidate's surname. Include the rest of the name apart from the title and first name. Include any initials." }, "Candidate Title": { "type": "string", "description": "Title of the candidate. Generally comes before their name" }, "Candidate Address line 1": { "type": "string", "description": "Address line 1 of the candidate" }, "Candidate Address line 2": { "type": "string", "description": "Address line 2 of the candidate" }, "Candidate City": { "type": "string", "description": "City name of the candidate (Use current residential address)" }, "Candidate State": { "type": "string", "description": "State name of the candidate (Use current residential address)" }, "Candidate's country": { "type": "string", "description": "Country name of the candidate (Use current residential address)" }, "Candidate's pincode": { "type": "string", "description": "Pincode of the candidate (Use current residential address)" }, "Candidate Phone number": { "type": "string" }, "Candidate's academic record": { "type": "array", "items": { "type": "object", "properties": { "Name of institution": { "type": "string" }, "Name of the program or degree": { "type": "string", "description": "Full details of the academic program including degree name and specialization" }, "Description of the program": { "type": "string" }, "Duration of program": { "type": "string", "description": "Contains start and end year/month" } } } }, "Candidate's work experience": { "type": "array", "items": { "type": "object", "properties": { "Organization name": { "type": "string" }, "Duration of tenure": { "type": "string", "description": "Contains start and end year/month" }, "Role": { "type": "string" } } } } } } ``` #### See Also - [Document AI](https://help.salesforce.com/s/articleView?id=data.c360_a_document_ai.htm&release=264.0.0&type=5 "Document AI in Data 360 uses large language models (LLMs) to extract structured data from unstructured documents such as invoices, resumes, lab reports, and purchase orders.") - [Auto-extract the Document Schema](https://help.salesforce.com/s/articleView?id=data.c360_a_document_ai_new_config.htm&release=264.0.0&type=5 "Use the document schema builder to auto-extract the document schema, including fields, tables, and columns.") - [Add Tables to Extract](https://help.salesforce.com/s/articleView?id=data.c360_a_document_ai_new_config_manual.htm&release=264.0.0&type=5 "Configure the tables to extract.")