Automate invoice data extraction with PDF.co’s AI-powered invoice parser. Instantly convert PDFs into structured JSON by detecting key fields like invoice number, vendor name, amounts, dates, and itemized lines — no manual setup or templates required.
Name | Description | Required |
---|---|---|
Invoice File URL | Provide the URL to the source PDF document, or a filetoken:// link from PDF.co Built-In Files Storage. If you use another cloud service such as Google Drive or Dropbox ensure the link is publicly accessible. | Yes |
Custom Field | Specify custom fields beyond the default list. Use comma-separated format for multiple custom fields extraction (e.g., storeNumber , lineTotal , financialCharges ). | No |
Webhook URL | The callback URL or Webhook used to receive the output data. | No |
storeNumber
– Store or branch identifierdeliveryDate
– Expected delivery datefinancialCharges
– Additional financial chargeslineTotal
– Total amount for line itemspurchaseOrderRef
– Purchase order reference numbercustomerReference
– Customer reference numberdepartmentCode
– Department or cost center codeName | Description |
---|---|
PageCount | Total Page Count. |
url | Direct URL to the final PDF file stored in S3. |
body | An object array containing the all invoice parsing result. |
duration | The time it took for the process. |
error | Details of any errors (if any). |
status | The response status code. If all good this will be 200 . |
jobId | Unique identifier for the background job. |
credits | The credits spent on the process. |
remainingCredits | The credits left on your account. |