Once Parseloom extracts your invoice fields, you need to get them into your ERP. Three patterns cover most of the cases we see. Which one fits depends on your ERP version, your IT team's bandwidth, and your document volume.
Pattern 1: direct API connector
Parseloom sends extracted data directly to your ERP's API as soon as extraction completes. This is the cleanest integration: zero manual steps, near-real-time posting, and the full extraction confidence score is available for your ERP's validation logic.
The requirement is that your ERP has an accessible API and your IT team can create an API credential for Parseloom. This works well for cloud-hosted ERP (NetSuite, QuickBooks Online, Xero, SAP S/4HANA Cloud). For on-premise ERP, IT usually needs to configure the API exposure, which can take time.
Best for: cloud ERP, high document volume, teams with a developer who can do the initial configuration.
Pattern 2: webhook to middleware
Parseloom sends a webhook when an extraction completes. Your middleware (Zapier, Make, a custom Lambda, an n8n workflow) receives the webhook, transforms the JSON to match your ERP's import format, and posts it. This adds a step but gives you transformation flexibility without touching the ERP's API directly.
This is useful when your ERP's import format doesn't match Parseloom's output schema cleanly, or when you need to enrich the data (look up a vendor ID in your own database before posting, for instance). The middleware layer handles the impedance mismatch.
Best for: teams that already use Zapier or Make for other workflows, or teams with a developer who wants transformation control without a full integration build.
Pattern 3: batch CSV drop
Parseloom exports a CSV on a schedule (hourly, end of day, or triggered manually). You drop the CSV into your ERP's file import path, or a shared folder that your ERP watches. This is the lowest-risk integration for cautious ERP teams - no open ports, no real-time connection, and the file can be inspected before the import runs.
The tradeoff is latency. If you process 50 invoices a day, an end-of-day CSV drop is fine. If you're processing invoices that need to be posted within the hour for payment workflow, a batch drop doesn't meet the requirement.
Best for: on-premise ERP with limited API access, IT teams that need time to approve real-time integrations, or as a starting point before moving to a real-time pattern.
Choosing a starting point
If your ERP is cloud-hosted and you have a developer: start with pattern 1. If your ERP is on-premise or IT is slow to approve API access: start with pattern 3 to demonstrate value, then move to pattern 1 or 2. If you need transformation flexibility: pattern 2. All three are available on Parseloom's Professional and Scale plans.