Invoice & PO Data Extractor
Defines a structured process for extracting standardized invoice, purchase order, and credit note data from PDF or image files so it can be fed directly into ERP or accounting systems. It applies whenever a user uploads these documents along with a specified document type, and produces normalized header, line item, total, and payment terms fields under a strict output schema. The extractor captures key commercial details such as document and tax IDs, buyer and vendor information, per-line quantities and pricing, summarized totals, and payment conditions including due dates and bank details. Built‑in validation rules verify arithmetic consistency between line items, subtotals, tax, discounts, and total due, as well as date ordering and currency consistency, flagging discrepancies in dedicated warning fields. The system is designed to handle poor-quality scans and edge cases like multi-page documents, flat-fee invoices, credit notes, multiple tax rates, and foreign currency conversions by using confidence flags, nulls with explanatory notes, and clear treatment of special conditions.
Document Upload & Settings
Upload the invoice, purchase order, or credit note and specify its type.
| Field | Description |
|---|---|
| Document File* | Uploaded file |
| Document Type* | Select…Invoice / Purchase Order / Credit Note |
* Not required, but providing these fields helps the agent produce better results.
Frequently Asked Questions
What is a Logic agent?
A Logic agent is a production-ready AI workflow that takes structured input, follows a defined set of instructions, and returns structured output. Each agent is built from a plain-English spec and deployed as a versioned API endpoint with built-in validation, logging, and error handling.
How do I customize this agent for my use case?
Click the deploy button to import the agent into your Logic workspace. From there you can edit the instruction spec, adjust input and output schemas, add or remove validation rules, and run tests — all without writing code. Changes are versioned so you can roll back at any time.
What does deployment look like?
When you deploy an agent, Logic generates a dedicated API endpoint you can call from any application. The endpoint handles orchestration, prompt management, schema validation, retries, and logging automatically. Most agents are live and callable within 60 seconds of deployment.
Can I connect this agent to my existing systems?
Yes. Every deployed agent exposes a standard REST API with full OpenAPI documentation. You can call it from any language or framework, integrate it into existing pipelines, or trigger it from webhooks. Logic also supports batch processing for high-volume workloads.
How is my data handled?
Logic processes data in real-time and does not store your input or output data after execution completes. All API traffic is encrypted in transit via TLS. For enterprise customers, Logic offers dedicated tenancy, VPC peering, and custom data-retention policies.