AI Invoice Parser

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.

Important

• Only invoice documents are supported for parsing.
• To ensure accurate processing, each invoice must be clearly separated. If an invoice contains multiple pages, we recommend splitting it into individual PDFs using the PDF Split API.
• While AI Invoice Parser supports multi-page invoices, the total page count for a single PDF must not exceed 100 pages. Submitting large PDFs containing multiple invoices is not recommended.

Input

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
lineItemStructure	A JSON object that defines a custom structure for line items. Each key is a field name (in camelCase) and each value is "string" or "number".	No
Webhook URL	The callback URL or Webhook used to receive the output data.	No

File Requirements and Limitations

The PDF.co AI Invoice Parser only supports files with up to 100 pages. Files exceeding this limit will not be processed, so please avoid uploading documents larger than 100 pages.

If your file contains multiple invoices in a single PDF, use the Split PDF operation in n8n to separate each invoice before passing them to the AI Invoice Parser node.

Source PDF URLs

If your previous node or trigger outputs a binary file (e.g., from Gmail or other apps), you’ll need to upload the file first using the PDF.co Upload File operation to generate a valid URL. This URL is required as the input for the Source File URL field in all subsequent PDF.co actions. You can integrate with Google Drive, Dropbox, or other apps to trigger your automation and pass files into PDF.co.

Custom Field Extraction

AI Invoice Parser with custom fields support automatically detects invoice layouts and extracts both standard schema data and user-specified custom fields without requiring manual templates.

The customField parameter allows you to specify additional fields to extract beyond the standard schema. Some examples include:

• storeNumber – Store or branch identifier
• deliveryDate – Expected delivery date
• financialCharges – Additional financial charges
• lineTotal – Total amount for line items
• purchaseOrderRef – Purchase order reference number
• customerReference – Customer reference number
• departmentCode – Department or cost center code

If a custom field returns an empty value, please contact our support team to help improve the extraction accuracy.

Line Item Structure

The lineItemStructure parameter lets you define a custom schema for line items. Each key is a field name you choose (in camelCase) and each value is the expected data type — either "string" or "number".

When provided, every object inside the lineItems array will contain exactly the fields you specified. If a value cannot be extracted from the invoice, the field will still be present with an empty or default value instead of being omitted.

Use camelCase for field names (e.g., unitPrice, totalPrice). The field names you define will be used as-is in the response, giving you full control over the output keys.

Output

Name	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.

Supported Languages

• Albanian (Shqip)
• Bosnian (Bosanski)
• Bulgarian (Български)
• Croatian (Hrvatski)
• Czech (Čeština)
• Danish (Dansk)
• Dutch (Nederlands)
• English
• Estonian (Eesti)
• Finnish (Suomi)
• French (Français)
• German (Deutsch)
• Greek (Ελληνικά)
• Hungarian (Magyar)
• Icelandic (Íslenska)
• Italian (Italiano)
• Latvian (Latviešu)
• Lithuanian (Lietuvių)
• Norwegian (Norsk)
• Polish (Polski)
• Portuguese (Português)
• Romanian (Română)
• Russian (Русский)
• Serbian (Српски)
• Slovak (Slovenčina)
• Slovenian (Slovenščina)
• Spanish (Español)
• Swedish (Svenska)
• Turkish (Türkçe)
• Ukrainian (Українська)