Nanonets Alternative: Invoice OCR API

What Nanonets Is

Nanonets is an AI document-processing platform with workflows and model training for invoices and other documents. Choosing between it and an API comes down to where processing runs, how you pay, and which documents you need.

Where StructOCR Differs

StructOCR is a server-side REST API: you send an image and receive structured JSON for invoice. There is no SDK to embed, billing is 3 credits per successful request, credits never expire, and failed requests are not billed. See the Invoice API docs or try the free scanner.

Where This Fits

• Choose Nanonets when: you need configurable workflows, approvals, and custom-trained models.
• Choose StructOCR when: you want a ready-made invoice extraction API you can call directly without building workflows.
• Use both when: You capture on a device with one tool and need server-side extraction or a fallback for uploaded images with the other.

Try the API in a Few Lines

A complete request takes one HTTP call with your API key.

Prerequisite: Python 3.9+, `pip install requests`, and a STRUCTOCR_API_KEY

import base64
import os
import requests

with open("invoice.jpg", "rb") as image_file:
    image = base64.b64encode(image_file.read()).decode("ascii")

response = requests.post(
    "https://api.structocr.com/v1/invoice",
    headers={"x-api-key": os.environ["STRUCTOCR_API_KEY"]},
    json={"img": image},
    timeout=30,
)
response.raise_for_status()
data = response.json()["data"]
print("invoice_number:", data.get("invoice_number"))
print("date:", data.get("date"))
print("due_date:", data.get("due_date"))
print("currency:", data.get("currency"))

Response Shape

Illustrative fields returned by the StructOCR API for this document type.

{
  "success": true,
  "data": {
    "invoice_number": "…",
    "date": "…",
    "due_date": "…",
    "currency": "…"
  }
}