Number of Seats/Users: Nanonets offers discounts based on the number of users or seats. A higher volume typically leads to a better discount structure, especially for enterprise-level usage.

Commitment to a Long-Term Contract: Discounts are often provided to companies that commit to using the service for a longer period (e.g., 1-year or 3-year contracts). A longer commitment shows Nanonets that the company is serious and willing to invest in the platform long-term.

No Active Discounts: Companies that are not already receiving other active discounts may have a better chance of qualifying for additional discounts from Nanonets. Nanonets reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: Nanonets offers discounts if you agree to a minimum amount of usage or transaction volume. This could be based on data storage, transactions, or other metrics tied to how much you will use the platform.

Enterprise-Level Negotiation: Companies that qualify as “enterprise” due to their size or complexity (e.g., having large teams, multiple departments, or geographical presence) may be eligible for additional discounts from Nanonets. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: Nanonets often offers discounts if you renew early or prepay for the entire contract period. This is a common approach to securing a lower price.

Here at Spendbase our internal data shows that Nanonets consistently delivers strong value on accuracy and time savings, with a few predictable trade‑offs around pricing flexibility and initial setup.

Overall sentiment
– Average rating is very high (mostly 5.0, a few 4.0).
– Spendbase clients describe it as “game‑changer”, “life changer”, and “most powerful OCR” they could find.

What Spendbase clients like most
– OCR quality and accuracy
– Handles invoices, receipts, financial statements, contracts, resumes, labels, multilingual docs, and blurry tables.
– Accuracy improves as models are trained with more data.
– Time and cost savings
– Strong impact on accounts payable, due diligence, supplier auditing, legal work, and market analysis.
– Clients report dramatic reduction in manual data entry and invoice processing time.
– Ease of use
– Intuitive, aesthetic UI and smooth onboarding.
– Low technical barrier for non‑technical roles (law, journalism, finance).
– Flexibility and integrations
– Works well with existing workflows and ERPs via APIs.
– Custom models for virtually any document type.

Common pain points
– Pricing and plans
– Several small and mid‑size teams mention wanting more flexible tiers and clearer pricing.
– Training and setup effort
– Initial model training can be slow and sometimes tedious, especially:
– Tagging invoices and mapping fields
– Hand‑delineating table structures
– Validating many samples one by one
– Minor UX and feature gaps
– Some friction in export UI and table customization.
– Desire for more automation (e.g., less manual validation, auto‑extraction of documents from images).
– Occasional integration hiccups at the start.

Where Nanonets shines most (by use case)
– Accounts payable / invoice & receipt automation
– Financial document extraction and supplier auditing
– Contract onboarding and due diligence
– Legal document OCR and reporting workflows
– Multilingual and low‑quality image text extraction

How Spendbase typically helps here
– We see strong ROI when Nanonets is negotiated with:
– Volume‑based discounts for high document throughput
– Better terms for growing teams that worry about pricing jumps
– Clauses around support and implementation to smooth the training/setup phase

If you’re using or considering Nanonets, our data suggests it’s a top‑tier OCR choice; the main optimization room is in pricing structure and ensuring you’re not overpaying for volumes or features you don’t fully use.