Nanonets is an AI-powered document automation platform that uses OCR and machine learning to extract structured data from invoices, receipts, contracts, and other unstructured files, then routes that data into downstream business systems. It is popular with finance, logistics, and operations teams that handle high volumes of paperwork and want to skip manual data entry. People look for Nanonets alternatives when pricing scales awkwardly with document volume, when they only need one narrow extraction use case, or when a lighter, purpose-built tool would fit their stack better.
Why look for a Nanonets alternative?
Nanonets is a generalist platform, and that breadth can be both its strength and its weakness. Teams that only need to extract data from a single document type, or that want tighter integration with one specific CRM or e-commerce system, sometimes find a focused tool easier to deploy and cheaper to run. Others move on because they want a no-code front end, a transparent free tier, or a workflow that does not require training custom models from scratch.
It is also worth saying that Nanonets works well for many buyers, and the alternatives below are not strictly upgrades or downgrades. They are better fits for particular shapes of problem: forms rather than PDFs, e-commerce catalogs rather than invoices, sales conversations rather than scanned documents, and solo founders rather than enterprise ops teams.
What to look for in a Nanonets alternative
Document type and data fit
The first question is whether the alternative natively understands the kind of input you actually process. Nanonets is built around scanned and semi-structured documents like invoices, receipts, and IDs. Some alternatives focus on web form submissions, others on product catalogs, and others on meeting transcripts or emails. Match the tool to your input, not the other way around.
Integration with your existing stack
Extraction is only half the job. Look for native connectors to the systems you already pay for, whether that is HubSpot, Shopify, a particular CRM, or a cloud storage bucket. Per NIST's work on automation and data quality, the value of extracted data drops sharply when hand-off between systems is brittle.
Pricing model and volume tolerance
Per-document and per-field pricing punishes messy real-world data, because one bad scan can become many billable fields. Flat-fee or tiered SaaS pricing is easier to forecast for small teams, while usage-based pricing rewards high-volume operations. Decide which camp you are in before committing.
Setup effort and ongoing maintenance
Some tools require a model training phase, labeled examples, or a dedicated admin to keep accuracy high. Others are designed to work out of the box. If your team is small or non-technical, a tool that handles extraction, routing, and review in one workflow will usually beat a more powerful but fiddly platform.
The best Nanonets alternatives
Formably
Formably is an AI-powered form backend that automatically extracts and routes structured data into your CRM. Where Nanonets targets scanned documents and PDFs, Formably focuses on form submissions, which makes it a better fit for teams whose intake already lives on a website or landing page. It is free to try and aims at the same end goal as Nanonets, just from a different starting point. Small marketing and lead-gen teams are the natural audience.
Lasso
Lasso transforms unstructured catalog data into clean, ready-to-publish product cards for e-commerce stores in minutes. Compared with Nanonets, which is document-first, Lasso is catalog-first and is tuned for product attributes, variants, and marketplace-ready formatting. It is a strong pick for e-commerce operators who need to onboard thousands of SKUs without hand-keying fields. Free to start, with a clear path to bulk processing.
Sellestial
Sellestial automates prospect communication analysis and follow-up drafting for HubSpot-based sales teams. It is not a document OCR tool, so it sits in a different category from Nanonets, but it shares the same underlying promise: stop humans from manually moving structured data out of unstructured input. Sales teams already living inside HubSpot will find the tight integration compelling. It is a better choice than Nanonets when the bottleneck is email and call notes rather than paperwork.
Ungrind
Ungrind is an AI sales assistant that automates CRM tasks, meeting notes, and pipeline updates for solopreneurs. Like Sellestial, it is not a direct document extraction competitor, but it competes for the same budget line item: tools that reclaim hours lost to administrative data entry. It is a paid product aimed at one-person sales operations where Nanonets would be overkill. Solo founders and freelance consultants are the sweet spot.
How to choose
If your bottleneck is incoming paperwork, Nanonets itself is still a strong default, and Formably is the right alternative when that intake comes through web forms instead of PDFs. For e-commerce catalogs, Lasso is the clearest fit. If you are a HubSpot shop drowning in prospect messages, Sellestial will save more time than any document tool. And if you run a one-person sales motion, Ungrind delivers most of the value of a full automation platform at solo-founder pricing.
Frequently asked questions
Is there a free Nanonets alternative?
Yes. Formably, Lasso, and Sellestial all offer free tiers on HyperStore, which makes them easy to evaluate before committing budget. Nanonets also has a free trial, but usage caps on document volume tend to be lower for OCR-heavy tools.
What is the best Nanonets alternative?
It depends on your input format. For web form data, Formably. For product catalogs, Lasso. For HubSpot-based sales communication, Sellestial. For solo sales work, Ungrind. Nanonets remains the best choice when you genuinely process large volumes of varied scanned documents.
Do Nanonets alternatives require model training?
Most of the alternatives listed here are designed to work out of the box for their specific use case. Lasso and Formably in particular aim for a no-training setup, while Nanonets itself offers pre-trained models for common document types but lets you train custom ones when needed.
Can I switch from Nanonets mid-project?
Yes, but plan for a short parallel run. Export your labeled examples and extraction templates, then validate accuracy on the new tool against a representative sample before cutting over. Most platforms, including those above, support CSV or JSON export for this kind of migration.
Which Nanonets alternative is best for small businesses?
For very small teams, Ungrind and Formably tend to be the easiest entry points because they have free tiers, simple interfaces, and target narrow problems. As noted in McKinsey's research on intelligent document processing, the biggest ROI gains at small scale usually come from focused tools rather than broad platforms.
Run a small pilot on the tool that best matches your input format, measure time saved per task, and only then expand the rollout. The right pick is the one that disappears into your workflow rather than the one with the longest feature list.
