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Invoice parsing & line-item categorization

Extract every line item from supplier PDF invoices, categorize each one against your GL or chart of accounts, and push the coded entry into your AP system.

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The prompt

I want to automate invoice parsing. Build me a flow that extracts line items from supplier PDF invoices, categorizes each line against my GL or chart of accounts, applies the right tax code, and outputs a coded entry ready to push into my AP system.

Just copy and paste the prompt into a new Parabola flow to get started.

What Parabola builds

A workflow with six steps you can edit:

1. Receive the invoice. Forwarded supplier email, uploaded PDF, or a pull from a supplier portal. The flow handles any of them.

2. Extract the line items. The AI step pulls vendor, invoice number, date, line description, quantity, unit price, and total per line.

3. Categorize each line. Map description and vendor to your GL accounts or your chart of accounts. The flow learns from prior approvals.

4. Apply tax code. Lookup per jurisdiction, per vendor, per category.

5. Validate against PO and receiving. Optional step that ties each line to the matching PO line and any receiving record.

6. Output the coded entry. A file ready to push into Concur, Bill.com, NetSuite, or whichever AP system the team uses.

Why teams stop doing this manually

Every supplier sends invoices differently. A line invoice from a 3PL is different from a service invoice from an agency, different again from a freight invoice that runs ten pages with surcharges, fuel adjustments, and customs broker fees.

The AP team opens each one. Reads it. Types the line items into the AP system. Looks up the right GL account. Applies the tax code. Sends it for approval. Multiply that by hundreds of invoices a month and AP is the bottleneck.

What gets dropped is the line-level coding. Teams give up and code the whole invoice to one GL account, losing the visibility finance wants. Or they batch the work and let invoices stack up past their net-30 window, which is how vendors stop accepting the relationship.

The fix is to keep humans on the judgment work, not the typing. The flow extracts, categorizes, and codes. AP reviews exceptions and approves the file. The clean lines hit the AP system without anyone having to retype them.

How it works

Step 1. Paste the prompt.

Open Parabola, paste the prompt in section 2, and let it ask follow-up questions about your supplier mix, your chart of accounts, and how strict the line-level coding needs to be.

Step 2. Connect your data.

Invoice inbox or supplier portal, your chart of accounts, the GL mapping table, and your AP system.

Step 3. Run it on every invoice.

New invoice arrives, the flow extracts and codes it. The clean ones push straight into AP. The ambiguous ones land in a review queue.

Related prompts

FAQ

Does this work for invoices that are scanned, low-quality PDFs?

Yes. The AI step handles OCR variance. Cleaner inputs get cleaner output, but a scanned invoice still parses correctly most of the time. Low-confidence lines land in the review queue.

Can the flow learn supplier-specific patterns?

Yes. Each time AP confirms a coding, the flow remembers the supplier + description + GL mapping. The next invoice from that supplier auto-codes correctly.

What about multi-page invoices with surcharges and adjustments?

The flow handles multi-page invoices natively. Each surcharge, fuel adjustment, or accessorial gets its own line with its own GL code.

Can it write directly into Concur, Bill.com, or NetSuite?

Yes. The output format matches the import spec for whichever AP system you use. Some teams push it via API, others drop a CSV.

How is this different from Concur's native OCR?

Concur's OCR is good at reading. The flow is good at categorizing. The combination of extraction plus line-level GL coding is the part most teams build by hand.
Code every line, not just the invoice total.
Paste the prompt, point it at your invoice inbox and your chart of accounts, and let the categorization run on its own.
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