# Parabola vs. Nanonets

> Parabola vs. Nanonets: Nanonets is a document extraction tool. Parabola extracts and then reconciles, applies business rules, and produces the exception queue.

Source: https://parabola.io/parabola-vs/nanonets

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## TL;DR

Nanonets extracts from documents and stops there. Parabola extracts, then does everything that comes after.

- **Scope:** Document extraction is a product for Nanonets and one step for Parabola.
- **What comes after:** Matching extracted values against a PO or ERP record, applying rules, and routing what does not agree.
- **Where Nanonets genuinely wins:** Best-in-class accuracy on a single high-volume document type.
- **Bottom line:** Pick Nanonets if extraction accuracy on one document class is the whole problem. Pick [Parabola](/) if the reconciliation afterwards is.

## Extraction is rarely the hard part

Pulling values off an invoice is a solved-enough problem that several vendors do it well. What is not solved is what happens next: this invoice has to be matched to a purchase order that used a different SKU convention, checked against agreed rates, flagged if the freight charge moved, and put in front of a human when it does not reconcile.

That downstream work is where the hours actually go, and a point extraction tool leaves all of it to you — usually meaning a spreadsheet, or an engineer.

## Parabola vs. Nanonets at a glance

| Dimension | Parabola | Nanonets |
| --- | --- | --- |
| Document extraction | AI import steps, as the first step of a Flow | The core product |
| Reconciling against other systems | Core capability — join, match, and compare across sources | Left to you |
| Applying your business rules | Each step is generated for the logic you described | Out of scope |
| Exception handling | An Artifact can be a queue of what did not match, with recommended actions | Out of scope |
| Who owns it | The ops or finance person who owns the process | Configured as an extraction pipeline |

## Which one is right for your team

Choose Nanonets when you have one document type at volume and the metric that matters is extraction accuracy on it.

Choose [Parabola](/) when extraction is step one of a longer process, and the value is in what happens after: the matching, the rules, the exceptions, and the output someone acts on.