Nanonets AI

Nanonets Review 2026 — Features, Pricing & Use Cases

Turn invoices, receipts and forms into clean data automatically.

Nanonets uses AI to pull data out of invoices, receipts, forms and other documents, then routes it into the apps you already use. It suits finance and operations teams that process documents at volume. Capterra users rate it 4.8 out of 5 across 81 reviews, and G2 users give it 4.7 across 102.

Nanonets is an AI platform for intelligent document processing. You send it a PDF, image or email, and it reads the document, finds the fields you care about and returns structured data.

It solves a costly problem. Teams still type invoice numbers, totals and line items into accounting systems by hand.

The standout fact is how it works. You build a workflow from blocks, so extraction, checks and approvals sit in one flow that you can connect to your accounting or ERP tools.

How to Get Started with Nanonets

Create an account and claim starter credits. Sign up on the company’s website and look for the trial credits. Check your credit balance before you upload anything.
Pick one document type. Start with a single type, such as supplier invoices. A narrow test shows you real accuracy faster than a mixed batch.
Define your fields and tables. List the fields you need, such as invoice number, date, total and line items. Upload 10 to 20 sample documents and correct any misreads.
Add validation and an approval step. Set rules, such as flagging totals that don’t match line items. Route flagged items to a reviewer.
Connect your accounting tool and measure cost. Send results to QuickBooks, Sheets or your ERP. Track credits per document so you can forecast monthly spend.

Nanonets vs Competitors

Versus Rossum. Choose Nanonets when you want a flexible workflow builder that handles several document types and an API for your own app. Choose Rossum if your work centers on transactional documents like invoices and you want a focused product. The key difference is breadth: Nanonets covers a wider set of document flows, while Rossum is more specialized. Run both on your own sample invoices before you decide.

Versus ABBYY. Choose it for a cloud-first, no-code setup that smaller teams can start quickly. Choose ABBYY if you need a long-established enterprise suite with deep OCR capability and wide language support. The key difference is scale and heritage: ABBYY suits large, complex deployments, while this tool suits faster setups. ABBYY usually involves a heavier sales process, so check cost and effort on both sides.

Final Verdict

Nanonets suits finance and operations teams that process invoices and similar documents at steady volume. Its standout feature is the block-based workflow, which joins extraction, checks and approvals. The caveat is cost and setup: pricing is hard to forecast, and users report long training and onboarding. If manual data entry is draining your team, run a small pilot with the free credits first. Start your trial at https://nanonets.com/.

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1. Workflow Builder You assemble a document flow from blocks, such as extraction, classification, validation and approval. Each block does one job, and you chain them in the order you need. This keeps a messy manual process in one visible place. It also means you pay only for the blocks a document passes through.

2. Instant Learning Data Extraction You define the fields and table headers you want, and the system learns to find them. It captures tables and line items, not just single values. This matters for invoices, where the line items hold the real detail. You can correct mistakes, which helps the model improve.

3. Document Classification Mixed batches of invoices, receipts and forms can be sorted automatically before extraction. Each document then goes down the right path. This saves your team from splitting piles by hand. It is most useful when documents arrive in one shared inbox.

4. Validation and Approval Steps You can add checks and approvals so that data is reviewed before it reaches your accounting system. A person only steps in when something looks wrong. That keeps accuracy high without reviewing everything. It also gives you an audit trail for finance teams.

5. Integrations and Email Import Documents can arrive by upload, API or forwarded email. Results flow to tools such as QuickBooks, Salesforce, SAP, Excel, Google Sheets and Slack, plus Zapier for the rest. This cuts the copy-and-paste step between systems. Native connections reduce the custom code you need to maintain.

6. Analytics and Enterprise Controls Dashboards show processing volume and accuracy, so you can spot weak spots. Enterprise plans add SSO, role-based access, and compliance such as HIPAA and SOC 2, according to third-party reviews. These matter for regulated teams. You should confirm exact security terms with sales.

Accounts payable teams. If you process a steady flow of standard supplier invoices, the extraction, validation and approval blocks map directly onto your process.

Finance operations managers. You can replace manual entry into QuickBooks or SAP and track accuracy on a dashboard.

Operations teams with IT support. Reviewers note that setup often needs technical help, so you will get the most value if someone can configure workflows and integrations.

Developers building document features. If your product must read invoices or forms, the REST API lets you embed extraction without building OCR yourself.

Pricing & Plans

Pricing is unclear, and sources disagree. The company moved to a per-block, credit-based model in January 2025. Its own pricing page could not be opened during research, so the figures below come from third-party pages dated 2026. Confirm them on the official site before you commit.

Plan	Price	What’s Included	Best For
Starter	$0 to start, pay as you go	About $50 in starter credits, data extraction, API access, email integration, up to 3 users. A $100/month option for 100 credits is also listed.	Testing and small volumes
Per-block runs	About $0.02 simple, $0.10 standard AI, $0.30 complex AI	You pay for each block a document passes through	Estimating cost per document
Growth	Quote-based	Volume discounts reported up to 40%, classification, more integrations, more users	Growing teams
Enterprise	Custom	SSO, role-based access, HIPAA and SOC 2, private cloud or on-prem options, dedicated support	Large or regulated firms

Cost depends on how many blocks each document uses, not on page count. One third-party estimate puts a typical invoice near $1 to $2. Older pages list $200 in trial credits, $0.30 per page and a $999 monthly Pro plan for 10,000 pages, so treat those as outdated until you confirm. No monthly versus annual discount was found, and Growth is priced through annual volume quotes. Prices may have changed since this check.

Pros:

High scores from users: 4.8 out of 5 on Capterra from 81 reviews and 4.7 on G2 from 102.
Reviewers call the interface intuitive, even for beginners, and report less manual data entry.
Captures tables and line items, not just header fields.
Connects to QuickBooks, Salesforce, SAP, Excel, Google Sheets and Zapier, plus a REST API.
You can start with free starter credits before spending money.

Cons:

Capterra reviewers say model training and initial setup can take a long time, and G2 data shows an implementation time of about two months.
Some users report the software struggles with data from varied sources, which means manual checks.
Several reviewers call it expensive, and G2 buyers rate perceived cost at the top of its scale. The block-based billing also makes monthly costs harder to predict.

Yes, it has a REST API. Its documentation shows endpoints to create a workflow, define the fields and table headers to extract, and upload documents for processing. Authentication uses HTTP Basic with your API key, and examples are given for Python and Node.js. Third-party sources list API access on the Starter plan, but the docs don’t state which plan unlocks it, so confirm with the company. Developers can use it to read invoices, receipts and forms inside their own apps.

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