Fluxity vs Nanonets: AP Automation Comparison

What to Look for: Developer Platform vs AP-Focused Tool

This comparison pits two fundamentally different product visions against each other. Nanonets is an extraction API with workflow automation — a horizontal platform that happens to work well for AP documents. Fluxity is a vertical AP automation tool that happens to expose an API. The evaluation criteria reflect that split:

• General-purpose extraction API vs AP-specific workflows. Nanonets can extract data from medical forms, contracts, or custom document types — you train a model on your data and build a pipeline around it. Fluxity handles invoices, POs, BOLs, freight documents, and credit memos out of the box, but does not offer custom model training for arbitrary document types.
• Custom model training capability. Nanonets lets you train extraction models on your own sample data — a meaningful advantage if your documents have unusual layouts or fields that pre-trained models miss. Fluxity's models are pre-trained for AP document types and do not require (or allow) customer-side training.
• ERP integration approach. Fluxity provides native, field-level connectors for five ERPs. Nanonets gives you extracted JSON via API and leaves the ERP connection to you (or to a Zapier integration). The right choice depends on whether your team has the development capacity to build and maintain that bridge.
• Built-in AP features. Three-way matching, approval routing, and GL code assignment are native to Fluxity. On Nanonets, you would build these workflows in your own application or workflow layer.
• Pricing structure. Fluxity charges per document with no platform fee. Nanonets offers a generous free tier (500 pages/month) and paid plans starting around $499/month with per-page pricing above the included allocation. Per-page vs per-document pricing creates meaningful cost differences on multi-page invoices.
• Developer documentation and SDKs. Nanonets provides Python and JavaScript SDKs alongside a REST API, with thorough documentation and an active developer community. Fluxity offers a REST API without language-specific SDKs.

Where Nanonets Excels

Nanonets has built one of the best developer experiences in the document extraction category. Their Python and JavaScript SDKs are well-maintained, the REST API is clearly documented, and their developer community is active enough that you can usually find working examples for common use cases. If your team evaluates tools by reading API docs before booking a demo, Nanonets will make a strong first impression.

The custom model trainingcapability is Nanonets' most distinctive feature. You upload sample documents, annotate the fields you want to extract, and the platform trains a model tuned to your specific layouts. This matters for teams that process non-standard document types — if you need to extract data from medical forms, logistics manifests, contracts, or proprietary internal documents, you can train a model for it rather than waiting for the vendor to add support.

The free tier (up to 500 pages per month) is genuinely useful for prototyping and testing. You can build a working proof-of-concept without a procurement conversation, which is valuable for developer-led evaluations where the engineering team wants to validate the approach before involving finance or purchasing.

Nanonets also provides a workflow automation layer for building custom processing pipelines — rules, conditions, and routing that sit between extraction and output. It is not an AP workflow engine (no three-way matching or GL coding), but it gives developers building blocks for constructing document-processing pipelines in their own applications.

Best For

Choose Nanonets if…

• You have development resources and want to build custom extraction pipelines tailored to your application.
• You need custom model training for unusual or proprietary document types that pre-trained models will not cover.
• You want a free tier to prototype and validate the approach before committing to a paid plan.
• You plan to embed extraction into a custom application — a product, internal tool, or client-facing workflow — rather than using a standalone AP system.
• You need SDKs in Python or JavaScript for tight integration with your existing engineering stack.

Choose Fluxity if…

• Your primary use case is AP automation with native ERP integrations — you want extracted data flowing into NetSuite, SAP, Oracle, QuickBooks, or Odoo without building the connector yourself.
• You want three-way matching, GL coding, and approval routing out of the box rather than building those workflows in a custom application.
• You do not want to build and maintain ERP integrations — your team is AP-focused, not engineering-led.
• You prefer per-document pricing without platform fees, where a 3-page invoice costs the same as a 1-page invoice.
• Your team needs to be processing production documents in hours, not days — no model training, no integration development, no professional services engagement.