Prompt
I'm building a document extraction workflow and need a model API
Latest observation
Oct 9, 2026
OpenAI APIWeb search: off
Absolutely — I can help with that.
For a document extraction workflow, you typically want a model API that can:
-
Ingest documents
PDFs, images, scans, Office docs, etc. -
Extract structured data
Return JSON fields like:- invoice number
- date
- vendor
- totals
- line items
- signatures
- key clauses
-
Handle OCR + layout awareness
Especially for scanned docs, tables, and multi-column layouts. -
Support validation / schema output
So the model returns consistent structured data instead of free text.
Good API patterns
Option A: Use a multimodal LLM API directly
Best if you want:
- flexible extraction
- custom document types
- handling messy or varied layouts
You send:
- the document text, or
- images/pages, or
- OCR output plus page layout hints
And ask for:
- JSON output matching a schema
Option B: OCR + model extraction pipeline
Best if you need:
- higher accuracy on scanned docs
- table-heavy docs
- cost control at scale
Typical flow:
- OCR the document
- Send OCR text + layout metadata to the model
- Ask for structured extraction
Option C: Specialized document AI service
Best if you mainly need:
- invoices, receipts, IDs, forms
- field extraction out of the box
These often include:
- prebuilt templates
- confidence scores
- table parsing
What your API should support
If you’re designing or choosing one, look for:
- JSON/schema mode
- batch processing
- file upload
- page-level outputs
- confidence scores
- table extraction
- citations or source spans
- OCR fallback
- async jobs for large docs
Example extraction request
You might structure a prompt like:
{
"document_type": "invoice",
"fields": [
"invoice_number",
"invoice_date",
"vendor_name",
"subtotal",
"tax",
"total",
"line_items"
],
"output_format": "json"
}
Example output
{
"invoice_number": "INV-10482",
"invoice_date": "2026-01-14",
"vendor_name": "Acme Supplies Inc.",
"subtotal": 1200.00,
"tax": 96.00,
"total": 1296.00,
"line_items": [
{
"description": "Printer paper",
"quantity": 10,
"unit_price": 12.00,
"amount": 120.00
}
]
}
If you want, I can help with any of these next:
- recommend a specific API/provider
- design the JSON schema
- write a Python/JavaScript API example
- build a document extraction prompt
- design a production architecture for high-volume docs
If you tell me:
- what document types you have,
- whether they’re scanned or digital, and
- your preferred stack,
I can suggest the best API approach.