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Nanonets Alternative: Why Teams Switch to Lido for Document Extraction

February 23, 2026

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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—no training required.

Lido Nanonets
Setup Upload a document, describe what to extract. Live in under 5 minutes. Train a custom model per document type. Weeks to months.
New vendor formats Works automatically on any layout, first upload. Requires model retraining for each new format.
Scanned documents AI vision models read scanned, faxed, and degraded documents natively. G2 reviewers report “trouble with blurred documents” and OCR issues.
Handwriting Handles mixed printed and handwritten text. Block handwriting extracts reliably. Government agency said it “bombed the demo” on handwritten documents.
Failed extractions 24-hour free reprocessing. You only pay when the output is right. Charges for every extraction attempt, including failures.
Format changes Extraction continues working automatically when vendors update layouts. Models break when document formats change. Retraining required.
Pricing (entry) $29/month for 100 pages. 50-page free trial. Free $200 credit, then pay-per-use. Pro tier up to $999/month.
Pricing (scale) $7,000/year for 42,000 pages (~$0.17/page). Enterprise contracts typically $20,000–$50,000/year.
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Nanonets works when your documents are clean, digital, and predictable. But the moment you need to process invoices from 50+ vendors, scanned documents, or anything with handwriting, the model-training approach hits a wall. You retrain. You wait. You pay for extractions that come back wrong. And the accuracy issues that showed up on day one never fully go away.

If you’re evaluating Nanonets alternatives because you’ve already hit these limits—or because you want to avoid them entirely—this page breaks down exactly where Nanonets falls short, how Lido solves those problems, and what real teams experience after switching.

Lido is the strongest Nanonets alternative for teams processing documents from dozens or hundreds of different formats. It uses layout-agnostic AI that extracts data from any document on the first upload—no model training, no retraining when vendors change formats, and no charges for failed extractions. ACS Industries processes 400 purchase orders per week across every format with 99.5–100% accuracy and zero templates built.

Why teams switch from Nanonets

The pattern is consistent. Teams sign up for Nanonets expecting AI-powered extraction that works out of the box. What they get is a platform that requires training custom models for each document type—and retraining those models every time a vendor changes their layout.

  1. Model retraining never ends. Nanonets markets itself as “no predefined templates,” but it still requires you to train and maintain custom models for specific document types. 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. “We spend a ton of time retraining the models,” their operations lead told us. Nested tables—the hardest part of their workflow—still don’t extract correctly.
  2. You pay for failed extractions. When Nanonets gets an extraction wrong on a scanned or complex document, you’re charged again to reprocess it. A government agency that signed a $30,000 Nanonets contract called this out specifically: “That reprocessing feature allows us to take a second chance without being charged a credit—that’s what really bit Nanonets.” Seven of Nanonets’ 99 G2 reviews cite pricing as a complaint.
  3. Scanned and handwritten documents fail. The same government agency said Nanonets “bombed the demo” on their scanned documents. This is a structural limitation of the model-training approach: models trained on clean digital PDFs don’t generalize well to scanned, faxed, or handwritten inputs. Five G2 reviewers flag “OCR issues, such as incorrect mappings and trouble with blurred documents.”
  4. Setup takes weeks, not minutes. Six G2 reviewers cite model training and setup time as a drawback: “It does take quite a long time initially for the AI model to be trained.” Another noted: “Properly trained models work great. Getting those models trained can be a bit frustrating.” For teams that need results this week, not this quarter, the training cycle is a dealbreaker.

What Nanonets users actually say

The complaints from G2 and Capterra reviews align with what we hear directly from teams evaluating alternatives.

  1. On model training: “It does take quite a long time initially for the AI model to be trained.” “Training models for unique document types can be time-consuming.” “Properly trained models work great. Getting those models trained can be a bit frustrating.”
  2. On pricing: “Pricing structure could be more flexible for smaller businesses.” “Can be a little pricy if your volume is not high.” “Cannot justify the cost of additional models for low volume documents.”
  3. On accuracy: “OCR issues, such as incorrect mappings and trouble with blurred documents.” “Manual verification might still be necessary, potentially reducing expected efficiency gains.”
  4. On inconsistency: “While this product provides a very helpful service, it seems to be very buggy at times.” “A lot of variation in speed of the product. Sometimes it will fly through 200 documents, and sometimes it seems to take 10 minutes for fewer than 50.”
  5. On support continuity: “Frequent switching in CSR keeps happening, and that leads us to invest more hours to explain products and services to the new one.”

These aren’t cherry-picked outliers. They represent recurring themes across Nanonets’ 99 G2 reviews, with pricing (7 mentions), model training (6 mentions), and OCR accuracy (5 mentions) as the most common complaint categories.

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What teams achieve after switching to Lido

The results speak to the difference between a model-trained approach and a layout-agnostic one.

ACS Industries (Manufacturing, 1,000+ employees) processes 400 purchase orders per week across every format—PDFs, spreadsheets, images, and plain-text emails. They previously used UiPath. With Lido: 30 hours saved per week on manual data entry, 99.5–100% accuracy on typed documents, and they avoided hiring an additional FTE. Zero templates built. “Thanks to Lido, we’re processing ~400 weekly POs automatically with complete accuracy.”

Soldier Field / ASM Global (Events, 1,000+ employees) handles 1,000 vendor invoices per month, each in a different format. They tried ChatGPT and Power Automate before switching to Lido. Result: what used to take 20 hours per week now takes 30 seconds per invoice. Setup took 15 minutes. “Lido has completely transformed our workflow.”

Relay (Healthcare, 50–200 employees) processes 16,000+ Medicaid claims every 1–2 months, each running 700+ pages. The team was up and running in under one week. Result: 100+ hours saved per week, 500% increase in team capacity, 98% reduction in human error. “Lido turned a process that used to take weeks or months into just hours.”

TOK Commercial (Real Estate, 51–200 employees) manages 400 properties with 150 multi-page vendor documents monthly. Lido extracts fields from any vendor format and auto-assigns GL codes using AI. Result: 85% increase in AP team capacity and one FTE hire avoided. “I explore a lot of solutions for our accounting needs, but none are as easy or effective as Lido.”

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Pricing: Nanonets vs. Lido

Nanonets offers a free tier with $200 in credits, then charges per workflow block run. The Pro tier goes up to $999/month. Enterprise contracts are custom-quoted and typically run $20,000–$50,000 per year. Pricing is not transparent for teams trying to forecast costs—a recurring complaint in reviews.

Lido’s pricing is simple and public.

Free trial. 50 pages, no credit card required. Test with your actual documents before committing.

Standard. $29/month for 100 pages and 1 user. Suitable for small teams processing a few dozen documents monthly.

Scale. $7,000/year for 42,000 pages and up to 10 users. This works out to roughly $0.17 per page—compared to Nanonets’ per-use pricing that G2 reviewers describe as “a little pricy.”

Enterprise. Custom pricing from $30,000/year for higher volumes, dedicated support, and custom integrations.

The critical pricing difference: Lido includes 24-hour free reprocessing on every extraction. If the first pass doesn’t extract a field correctly, you adjust your instructions and reprocess at no additional cost. Nanonets charges for every extraction attempt, including ones that fail. For teams iterating on complex documents, this difference compounds fast.

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When Nanonets might still be the right choice

Nanonets is a reasonable choice in specific scenarios. If you process fewer than 10 consistent document formats that rarely change, the model-training approach works fine once the models are tuned. If you need pre-built workflow automation with native integrations to Salesforce, QuickBooks, or Notion, Nanonets’ no-code workflow builder covers those use cases. And if your team is already invested in the Nanonets ecosystem with trained models that perform well, the switching cost may not be justified.

Nanonets falls short when document formats are unpredictable, when vendors change layouts frequently, when you need to process scanned or handwritten documents, or when reprocessing charges make iteration expensive. Those are the scenarios where the architectural difference between model-trained and layout-agnostic extraction matters most.

Evaluating other document processing tools? See how Lido compares to Parseur, DocuClipper, and Super.AI. Or read our industry-specific Nanonets comparisons for energy companies and government agencies.

How to test Lido against Nanonets

The fastest way to evaluate is to test with the documents that give Nanonets the most trouble. Not your cleanest digital invoices—the scanned ones, the handwritten ones, the 50-page documents from the vendor that changes their format every quarter.

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

Step 2. Upload the documents Nanonets struggles with. Describe the fields you need in plain English.

Step 3. Compare the output. Check accuracy on scanned inputs, handwritten text, and documents the system has never seen before. Note how long setup takes versus training a Nanonets model.

If Lido handles your worst documents on the first try, the rest of your workflow will be straightforward. If it doesn’t, you have 24 hours to reprocess at no additional cost—something Nanonets won’t offer.

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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 starts at $29/month for 100 pages with a 50-page free trial. The Scale plan is $7,000/year for 42,000 pages (roughly $0.17/page). Nanonets enterprise contracts typically run $20,000–$50,000 per year with per-use pricing that charges for every extraction, including failures. 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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