7 Best Nanonets Alternatives 2026
Thinking about leaving Nanonets? We tested these alternatives and ranked them.
Why People Leave Nanonets
- •Model training takes weeks before you can process documents
- •Per-extraction pricing adds up fast at scale
- •Accuracy drops significantly on new vendor formats
Lido
Lido took our top spot because it just works. Upload an invoice from a vendor you've never seen before, and it pulls the right fields without any template setup. At $30/mo with flat pricing, you know what you're paying. We had extraction results within 5 minutes of signing up, faster than any other tool we tested. If your finance team is sick of maintaining templates every time a new vendor shows up, try this one first.
Pros
- ✓No template setup at all. New vendor format? It handles it automatically
- ✓Flat $30/mo pricing. No per-page surprises or confusing tiers
- ✓We got our first extraction in under 5 minutes from signup
Cons
- ✗Not built for massive enterprise batch pipelines (tens of thousands of pages/day)
- ✗Fewer native integrations than AWS or GCP ecosystem tools
- ✗No offline or on-premise option
ABBYY FineReader
ABBYY FineReader has the best raw OCR accuracy we've measured. It nailed multi-column layouts, tables, and multi-language documents that tripped up every other tool. The document reconstruction is genuinely impressive: you get back a Word doc that actually looks like the original. The downside? It's enterprise-priced with no self-serve tier, and the interface feels like it was designed a decade ago. If accuracy on hard documents is your top priority and you have budget, this is the one.
Pros
- ✓Highest OCR accuracy we measured, especially on complex layouts and 190+ languages
- ✓Best document reconstruction we've seen. Tables, columns, fonts come through intact
- ✓Strong compliance certs for regulated industries
Cons
- ✗No published pricing. You have to talk to sales before you know what it costs
- ✗Steeper learning curve than most modern SaaS tools
- ✗Desktop-heavy workflow. Feels dated next to cloud-first competitors
Rossum
Rossum is the best tool we tested for enterprise AP teams. Its AI actually gets better over time as your team corrects mistakes, which is something most tools claim but few deliver on. The validation queue and exception handling are well thought out. You'll need to talk to sales for pricing, and implementation takes some professional services work, so it's not for small teams. But if you process thousands of invoices a month from hundreds of vendors, Rossum earns its price.
Pros
- ✓Built from the ground up for AP automation. It shows in every workflow detail
- ✓Gets measurably more accurate over time as you correct extractions
- ✓Best exception handling and validation queue we tested
Cons
- ✗Custom pricing only. No way to try it without talking to sales first
- ✗Implementation usually requires professional services help
- ✗Way too much tool for teams processing a few dozen documents a month
Adobe Acrobat
If you already use Acrobat for PDF editing, you get solid OCR included for $23/mo. It's not the most accurate OCR engine out there (ABBYY beats it on complex docs), but the combination of price, familiarity, and everything-else-it-does makes it the easiest recommendation for most business users. Everyone already knows how to use it, which means zero training time.
Pros
- ✓OCR is built into a full PDF toolkit you probably already know how to use
- ✓Everyone on the team can use it without training. The interface is familiar
- ✓Plugs into Microsoft 365, SharePoint, and all the major cloud storage services
Cons
- ✗OCR accuracy falls behind ABBYY on complex or low-quality documents
- ✗You're locked into the Adobe subscription ecosystem
- ✗The desktop app is heavy. Older machines will struggle
Adobe Scan
Hard to argue with free. Adobe Scan is the best mobile OCR app we tested, and the core features cost nothing. The auto-crop and perspective correction are genuinely good, so your phone photos come out clean. OCR accuracy is solid on well-lit documents. If you're already in the Adobe ecosystem, everything syncs to Document Cloud automatically. If you're not, exporting takes a couple extra steps. For quick mobile scanning, nothing beats this.
Pros
- ✓Completely free. No watermarks, no page limits, no catch
- ✓Auto-crop and perspective correction are genuinely good, even in tricky lighting
- ✓Syncs to Adobe Document Cloud automatically if you're an Acrobat user
Cons
- ✗Editing features are locked behind a paid Acrobat subscription
- ✗OCR accuracy drops in low light or on crumpled/damaged documents
- ✗Getting files out of the Adobe ecosystem takes extra steps
Hyperscience
Hyperscience is for organizations where a wrong number on an extracted document means a compliance violation or a financial loss. The human-in-the-loop validation is the best we've seen: low-confidence extractions get routed to reviewers automatically, with full audit trails. Enterprise support and SLAs are top-tier. But this is a Fortune 1000 tool, both in price and implementation effort. If you're not processing high-stakes documents at scale, you're overpaying.
Pros
- ✓Best human-in-the-loop validation we tested. Low-confidence fields get flagged for review
- ✓Enterprise-grade SLAs, compliance certs, and dedicated support contacts
- ✓Handles messy semi-structured forms with confidence scoring
Cons
- ✗One of the most expensive tools in this space
- ✗Implementation takes months and usually requires professional services
- ✗Overkill for small teams or simple document types
Google Document AI
If you're already building on GCP, Document AI is a solid choice. The pre-built processors for invoices, receipts, and W-2s are production-ready and the docs are well written. At $0.06/page, the pricing is straightforward. But you need GCP expertise to set it up, and support quality is hit-or-miss compared to dedicated OCR vendors. Non-technical teams should look elsewhere.
Pros
- ✓$0.06/page with pay-as-you-go. No minimum commitment
- ✓Pre-built invoice, receipt, and W-2 processors that actually work well
- ✓Scales automatically within the GCP ecosystem
Cons
- ✗You need GCP knowledge to get it running. Not a click-and-go tool
- ✗Support quality varies. Don't expect the hand-holding you'd get from a dedicated vendor
- ✗Locks you into Google Cloud infrastructure