Nanonets vs Make
A detailed comparison to help you choose between Nanonets and Make.
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Verdict: Make wins
Make scores 4.2/5, edging out Nanonets at 4.1/5. Ops-minded individuals and small teams who want visual, branching automation with real debugging and do not need self-hosting.
Nanonets Extract structured data from documents with AI-powered automation | Make Visual automation platform for everyone | |
|---|---|---|
| Rating | 4.1 (1 review) | 4.2 (1 review) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | Finance and operations teams processing invoices, POs, receipts or forms at volume who want AI extraction wrapped in validation, routing and ERP export with usage-based pricing. | Ops-minded individuals and small teams who want visual, branching automation with real debugging and do not need self-hosting. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tierapi accessteam features | no codefree tier |
| Visit Nanonets → | Visit Make → |
Nanonets
Pros
- + Block-based pricing is the clearest cost model in the category: $0.02 simple / $0.10 standard AI / $0.30 complex AI per run — my four-block invoice test cost roughly $0.52 per document at list rates
- + $50 in free credits with no card makes real evaluation possible: I ran production-shaped documents before spending anything
- + Workflow layer with validation blocks catches extraction errors (a smudged quantity field in my test) before they reach downstream systems
- + Extraction handles the hard cases — multi-page invoices with line-item tables and nested fields — with only one field-level error on my messy sample
- + Breadth of ingestion: API, web upload, email forwarding, cloud storage connectors, and ERP/database integrations on Growth
Cons
- - Billing is per block run, not per page — workflows with many validation retries can multiply cost in ways per-page pricing would not
- - Growth and Enterprise pricing is quote-only, and the 'up to 40% volume discount' is negotiated rather than published
- - Starter caps at three users with community support and excludes premium blocks (classification, barcode/signature, generative AI, custom Python)
- - Fax-grade scans and handwriting still need human review; legible print-style annotation is the practical ceiling
- - Compliance features (HIPAA posture, regional data residency) are Enterprise conversations — not available self-serve
Make
Pros
- + Visual bundle-level debugger: in my router test I traced dropped records to a timezone filter in under a minute, something Zapier's flat step log makes slow
- + Credit pricing stays cheap at realistic volumes — 10,000 credits/month tiers started at $9–$12/mo billed annually at time of writing (make.com/en/pricing)
- + HTTP, JSON, and XML modules are strong enough to replace custom code for most API glue work in my builds
- + Error handling is explicit: scoped error handlers and break directives mean one bad record does not kill a whole run
- + Celonis ownership and a product dating to 2012 (as Integromat) give it one of the longer reliability track records in the category
Cons
- - Polling triggers burn credits on every scheduled check whether or not data changed; my naive 1-minute poll ate budget until I moved to webhooks
- - No self-hosting and no source-available license — cloud-only, which rules it out for data-residency requirements
- - Run history on the free plan is short (three days at time of writing), so debugging real incidents needs a paid plan
- - The concepts curve (bundles vs arrays, iterators, aggregators) is steeper than Zapier's; expect a week before complex flows feel natural
- - Pricing is inconsistent across sessions — Make has served different Core/Pro/Teams price cards ($9/$16/$29 vs $12/$21/$38 annually), so confirm your quote
Frequently Asked Questions
Which is better, Nanonets or Make?▼
Make scores higher at 4.2/5 vs 4.1/5 for Nanonets, making it the better-rated option in our comparison.
What is the difference between Nanonets and Make?▼
Nanonets: Nanonets uses AI to pull data out of invoices, receipts and other documents and pushes the result into systems such as SAP and Salesforce, automating work like accounts payable. Make: Make is a visual automation platform where you connect apps and build multi-step workflows by drawing them on a canvas.
Is Nanonets or Make more affordable?▼
Nanonets starts at €0/mo, Make starts at €0/mo. Check the comparison table above for current pricing.
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