Nanonets Alternative: Why Teams Switch to Lido for Document Extraction

August 20, 2026

Nanonets requires you to train custom models for each document type and retrain them when formats change. If you process documents from dozens of vendors, that model maintenance never ends. We tested the top alternatives.

Our Top Choice: Lido

Lido is the leading Nanonets alternative for teams that process documents from many vendors in different formats. Where Nanonets trains custom models on sample documents, Lido uses layout-agnostic AI that understands document structure without training.

No model training, no retraining when vendors change formats, no charges for failed extractions. 99.5-100% accuracy on typed documents from the first upload. ACS Industries processes 400 purchase orders per week across every format with complete accuracy and zero templates built.

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★ Editor's Choice
Free trial available · www.lido.app
9.4/10
99.5-100% extraction accuracy across any document format. No model training, no reprocessing charges. Upload and extract in minutes.
Score Breakdown
Accuracy
9.8
Ease of Use
9.7
Integrations
8.8
Versatility
9.6
Support
9.3
Pros
  • Template-free extraction from any document format on first upload
  • Free 24-hour reprocessing when results need refinement
  • Handles scanned, faxed, and handwritten documents natively
  • SOC 2 Type II and HIPAA compliant with automatic data deletion after 23 hours
Cons
  • Cloud-based only, which may not suit strict data residency policies
  • No built-in no-code workflow builder like Nanonets offers
Verdict
Lido is the best Nanonets alternative for teams tired of the model training cycle. Where Nanonets requires weeks of training per document type and charges for failed extractions, Lido delivers accurate structured data from any format in minutes with free reprocessing.
Bottom line

Choose Nanonets if:

You have a small set of consistent document formats and your trained models already perform well enough.

Choose Lido if:

You process documents from dozens of vendors in different formats and need enterprise-grade accuracy on scanned, handwritten, and complex documents without model training or reprocessing charges.

Nanonets vs. Lido: a direct comparison

The fundamental difference is architectural. Nanonets trains custom models on sample documents. Lido reads documents using layout-agnostic AI that understands structure and context without training.

LidoNanonets
SetupUpload a document, describe what to extract. Live in under 5 minutes.Train a custom model per document type. Weeks to months.
New vendor formatsWorks automatically on any layout from the first upload.Requires model retraining for each new format.
Scanned documentsAI vision reads scanned, faxed, and degraded documents natively.G2 reviewers report "trouble with blurred documents" and OCR issues.
HandwritingHandles mixed printed and handwritten text reliably.A government agency said it "bombed the demo" on handwritten documents.
Failed extractions24-hour free reprocessing. You only pay when the output is right.Charges for every extraction attempt, including failures.
Format changesExtraction continues working when vendors update layouts.Models break when formats change. Retraining required.
Accuracy99.5-100% on typed documents. No model training needed.Accuracy depends on training quality. "Manual verification might still be necessary."
OutputExcel, Google Sheets, CSV, JSON, or direct ERP integration.CSV, JSON, and workflow integrations via no-code builder.

Why teams switch from Nanonets

Model retraining never ends. Nanonets requires you to train and maintain custom models for each document type. A gas distribution company processing 27,000 documents per month migrated from Docparser to Nanonets specifically to escape template maintenance. Instead, they traded template maintenance for model maintenance. Nested tables still don't extract correctly.

You pay for failed extractions. When Nanonets gets an extraction wrong on a scanned or complex document, you're charged again to reprocess it. Lido includes 24-hour free reprocessing on every extraction. For teams iterating on complex documents, this difference compounds fast.

Scanned and handwritten documents fail. Models trained on clean digital PDFs don't generalize well to scanned, faxed, or handwritten inputs. G2 reviewers flag "OCR issues, such as incorrect mappings and trouble with blurred documents."

Setup takes weeks, not minutes. G2 reviewers cite model training and setup time: "It does take quite a long time initially for the AI model to be trained." For teams that need results this week, the training cycle is a dealbreaker.

Tired of retraining models every time a vendor changes their format?

Lido handles any layout on the first upload. 50 free pages, no credit card.

What teams achieve after switching to Lido

ACS Industries (Manufacturing, 1,000+ employees) processes 400 purchase orders per week across every format. They previously used UiPath. With Lido: 30 hours saved per week, 99.5-100% accuracy, and one FTE hire avoided. Zero templates built.

Soldier Field / ASM Global (Events, 1,000+ employees) handles 1,000 vendor invoices per month, each in a different format. What used to take 20 hours per week now takes 30 seconds per invoice. Setup took 15 minutes.

Relay (Healthcare) processes 16,000+ Medicaid claims every 1-2 months, each running 700+ pages. Result: 100+ hours saved per week, 500% increase in team capacity, 98% reduction in human error.

TOK Commercial (Real Estate) manages 400 properties with 150 multi-page vendor documents monthly. Lido extracts fields from any vendor format and auto-assigns GL codes. AP team capacity increased 85%.

Other Nanonets alternatives worth considering

Lido is our top pick, but other tools may fit depending on your workflow. Here is how the main alternatives compare.

ABBYY Vantage

ABBYY Vantage is an enterprise IDP platform with pre-trained document skills and a marketplace of extraction models. More setup than Lido but strong on enterprise integrations.

8.0/10
Enterprise IDP with a marketplace of pre-trained document skills. Strong accuracy and integration options but requires IT resources to configure.
Score Breakdown
Accuracy
8.5
Ease of Use
7.2
Integrations
8.7
Versatility
8.2
Support
7.8
Pros
  • Strong accuracy on standard financial documents
  • Extensive enterprise integrations and RPA connectors
  • On-premise deployment available
Cons
  • Custom document types require IT-led configuration
  • Enterprise licensing adds complexity and cost
Verdict
ABBYY is a strong enterprise option with on-premise deployment. Best for organizations with IT resources that need broad integration options beyond document extraction.

Docsumo

Docsumo offers AI-powered extraction with 40+ pre-trained models for financial documents and a human-in-the-loop review interface.

40+ pre-trained models for financial documents with a human-in-the-loop review interface. Custom document types require model training with annotated samples.
Score Breakdown
Accuracy
7.8
Ease of Use
7.6
Integrations
7.0
Versatility
6.8
Support
7.4
Pros
  • 40+ pre-trained models for standard financial documents
  • Built-in human-in-the-loop review interface
  • Good for ACORD forms and insurance documents
Cons
  • Custom document types require annotated training samples
  • 60-page upload limit per document
Verdict
Docsumo is a reasonable choice for teams processing standard financial documents that match pre-built models. Limited by the 60-page ceiling and model training for anything outside their library.

Parseur

Parseur is a template-based email and document parsing tool. It works well for structured, consistent documents like booking confirmations and standardized invoices.

Template-based email and document parsing. Reliable on consistent formats but requires new templates for every layout variation.
Score Breakdown
Accuracy
7.5
Ease of Use
8.0
Integrations
7.2
Versatility
5.8
Support
7.2
Pros
  • Easy template creation with a visual editor
  • Good email parsing with inbox monitoring
Cons
  • Requires a new template for every document layout variation
  • Cannot handle scanned or handwritten documents
Verdict
Parseur works for small teams with a handful of consistent document formats. Not viable for operations processing documents from many vendors with layout variation.

Rossum

Rossum is an AI-powered document processing platform focused on invoices and purchase orders with a built-in human-in-the-loop validation queue.

7.5/10
AI invoice processing with a built-in validation queue. Learns from corrections but limited to invoice and PO document types.
Score Breakdown
Accuracy
8.0
Ease of Use
7.5
Integrations
7.2
Versatility
7.0
Support
7.6
Pros
  • Built-in human review queue for validation workflows
  • Learns from corrections to improve over time
Cons
  • Best for invoices and POs, limited on other document types
  • Requires training data for custom formats
Verdict
Rossum is a solid choice for AP teams focused on invoice processing who want a review interface. Less suited for teams processing diverse document types beyond invoices and purchase orders.

When Nanonets might still be the right choice

If you process fewer than 10 consistent document formats that rarely change and your trained models already perform well, Nanonets works. It also offers pre-built workflow automation with native Salesforce, QuickBooks, and Notion integrations through its no-code builder. Teams already invested in the Nanonets ecosystem with well-tuned models may not need to switch.

Evaluating other tools? See how Lido compares to Parseur, Docsumo, ABBYY, Rossum, and Kofax. Or read our industry-specific Nanonets comparisons for energy companies and government agencies.

Migrating from Nanonets to Lido

Step 1. Sign up for free at lido.app. No credit card required. You get 50 pages to test.

Step 2. Upload the documents that give Nanonets the most trouble. Not your cleanest digital invoices, but the scanned ones, the handwritten ones, the documents from the vendor that changes their format every quarter.

Step 3. Describe what to extract in plain English. No model training, no annotated samples, no configuration.

Step 4. Compare the results. Check accuracy on scanned inputs and handwritten text. Note how long setup took versus training a Nanonets model.

Most teams see structured output within 5 minutes of their first upload.

Ready to replace Nanonets?

50 free pages. No credit card, no model training required.

Now that you know the best Nanonets alternatives, try Lido free with your own documents to see the difference between model-trained and template-free extraction.

Frequently asked questions

What is the best alternative to Nanonets?

Lido is the best Nanonets alternative for teams processing documents from multiple vendors in varied formats. Unlike Nanonets, Lido requires no model training or retraining-it extracts data from any document layout on the first upload. ACS Industries processes 400 purchase orders per week across every format with 99.5-100% accuracy and zero templates built.

Why do teams switch from Nanonets?

The most common reasons are model retraining burden, poor accuracy on scanned and handwritten documents, and charges for failed extractions. A gas distribution company processing 27,000 documents per month said they "spend a ton of time retraining the models" after migrating to Nanonets. A government agency that signed a $30,000 contract called it "absolutely one of the worst."

How much does Lido cost compared to Nanonets?

Lido offers a free trial with 50 pages, no credit card required. Scale and enterprise plans are available for higher volumes.17/page). Nanonets enterprise contracts require custom quotes with per-use pricing. Lido includes 24-hour free reprocessing on every extraction.

Does Lido require model training like Nanonets?

No. Lido uses layout-agnostic AI that reads any document format without training or templates. You describe the fields you need in plain English and upload your documents. Extraction works on the first upload, including on formats the system has never seen before. There is no model training step, no retraining when vendors change formats, and no per-vendor configuration.

Can Lido handle scanned and handwritten documents?

Yes. Lido uses AI vision models that understand document structure and context, not just character shapes. It handles scanned PDFs, faxed documents, photos of documents, and mixed printed and handwritten text. A government agency said Nanonets "bombed the demo" on their scanned documents before switching to Lido.

What happens if Lido gets an extraction wrong?

You adjust your extraction instructions and reprocess the document at no additional cost within 24 hours. This is one of the key differences from Nanonets, which charges for every extraction attempt including failures. With Lido, you only pay when the output is right.

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