| Feature | Make | Nanonets |
|---|---|---|
| Free Plan | ✓ Yes | ✓ Yes |
| Pricing | Free / $9–$29/mo | Free trial / $49/mo |
| Rating | ★★★★★ 4.6 | ★★★★☆ 4.4 |
| Key Feature 1 | Visual workflow builder | AI OCR |
| Key Feature 2 | 1,500+ app connectors | Document classification |
| Key Feature 3 | Error handling | Custom model training |
Reach buyers comparing Make and Nanonets. High-intent traffic, direct conversions.
Make and Nanonets are rated almost identically by users (4.6 vs 4.4), so the right pick comes down to feature fit rather than overall quality. Make offers a free plan, making it the lower-risk option to try first — Nanonets starts at Free trial / $49/mo. Make tends to be favoured by agencies and programmers, while Nanonets is more popular with enterprises and lawyers.
Make versus Nanonets is one of the more common decisions buyers face — Make is built around productivity tools while Nanonets leans toward data analytics. Make is best known for visual workflow builder, whereas Nanonets stands out for ai ocr. On aggregate user ratings Make holds a slight edge (4.6/5 vs 4.4/5), though that gap rarely decides the match on its own.
Where Make pulls clearly ahead is building complex multi-branch automation with conditional logic. A frequent plus in reviews: More powerful than Zapier — especially for visual workflow builder workflows where Make consistently outperforms manual approaches. Nanonets, by contrast, is the stronger choice for automatically extracting invoice data (vendor, amount, line items) for AP workflows. In its favour: 95%+ extraction accuracy on supported document types. The feature checklists overlap, but the day-to-day experience does not.
Make is the right automation tool for anyone who has hit Zapier's complexity ceiling. Nanonets is the strongest affordable document AI platform — the pre-built models for invoices, receipts, and forms reduce setup time, and the accuracy on common document types is production-grade. For most teams the deciding factor is existing workflow and budget, not a marginal feature gap.
Choose Make if you are focused on technical users, developers, and operations teams who need complex automation with branching logic, data transformation, and multi-step processes — and who find Zapier too simple, or if a big part of your week goes to transforming and mapping data between apps with custom formulas. Its free tier also lets you validate the fit before paying.
Choose Nanonets if your priority is finance teams, operations departments, and businesses processing high volumes of invoices, receipts, and structured documents who want to automate data extraction and eliminate manual entry, especially for processing expense receipts and coding them to correct accounts. Note there is no free plan, so plan for a paid tier from day one.
In day-to-day use, Make feels strongest at building complex multi-branch automation with conditional logic, while Nanonets is more at home with automatically extracting invoice data (vendor, amount, line items) for AP workflows.
Learning curve is worth weighing. Make has a known trade-off — Steeper learning curve — worth evaluating before committing if this is central to your use case. On Nanonets's side: Expensive for low-volume use cases. Factor in the integrations you already rely on — that usually settles which one sticks after the trial.
Make is the lower-risk start here: it has a genuine free plan, while Nanonets does not. Paid plans start at $9/mo for Make (Core) and $499/mo for Nanonets (Starter), making Make the cheaper entry point at $9/mo versus $499/mo. The extra spend on Nanonets only pays off if you need what its higher tier unlocks. The sticker price rarely tells the whole story — check seat counts and usage limits before you commit.
🚀 Ready to decide? Try both free and see which fits your workflow.
Make (formerly Integromat) is a visual automation platform connecting 1,800+ apps through a drag-and-drop scenario builder. Unlike Zapier's … Read the full Make review →
Nanonets is an AI document processing platform that extracts data from invoices, receipts, purchase orders, and other documents — automating… Read the full Nanonets review →
• More powerful than Zapier — especially for visual workflow builder workflows where Make consistently outperforms manual approaches
• Practical free tier that lets you validate the tool before committing to paid plans
• Highly customizable and flexible, allowing users to create complex automations tailored to their specific needs
• Cost-effective for high-volume automations, with a pricing model based on operations rather than tasks
• Steeper learning curve — worth evaluating before committing if this is central to your use case
• UI can be complex — worth evaluating before committing if this is central to your use case
• 95%+ extraction accuracy on supported document types
• Custom model training without data science expertise
• ERP integrations for accounts payable automation
• Document classification saves manual sorting
• Expensive for low-volume use cases
• Custom training requires sample documents