Last updated: April 2026

TL;DR -- anyformat vs Nanonets

• Extraction approach: Nanonets relies on annotation and HITL training to reach production accuracy; anyformat extracts zero-shot from a schema definition alone.
• Pricing: Nanonets charges $0.02--$0.30 per run, compounding across workflow blocks; anyformat offers predictable volume-based pricing.
• Data retention: Nanonets retains data for ~30 days post-termination on US multi-tenant infrastructure; anyformat offers zero-retention processing on EU-native infrastructure.
• Sovereignty: Nanonets is US-based with on-prem available only via enterprise contract; anyformat is EU-native with private cloud and on-prem as standard options.
• Accuracy: Nanonets targets 98% with ongoing annotation; anyformat delivers 99% with calibrated confidence scoring and no training dependency.

anyformat vs Nanonets

Nanonets is an AI-powered document processing platform, founded in 2017 and headquartered in Bangalore, that offers template-free extraction, a visual workflow builder, and no-code automation at per-run pricing ($0.02--$0.30/run).

Nanonets is a mid-market IDP platform with a visual workflow builder, template-free extraction, and no-code automation. Its block-based workflow interface (import, data-action, and export blocks) is well-designed for non-technical users. If you need simple document automation with workflow logic and don't have strict European compliance requirements, Nanonets is worth evaluating.

But for European enterprises that need data sovereignty, ISO 27001, production-grade accuracy on complex documents, and zero data retention, the gaps are structural.

Customization and extraction approach

Nanonets uses template-free extraction with configurable fields and tables. The out-of-box models target common document types.

The challenge shows up on edge cases. Nanonets' own documentation acknowledges that out-of-box models may require HITL (human-in-the-loop) annotation to reach production accuracy on non-standard documents. That means your team labels data before the system works reliably.

anyformat uses zero-shot extraction. Define your schema, upload your document, get results. No annotation, no training, no HITL dependency. Schema changes happen in our Studio and apply instantly.

Pricing model

Nanonets uses per-run pricing at $0.02–$0.30/run depending on task type. Accessible at low volumes. At scale, per-run pricing compounds quickly, especially when workflows involve multiple blocks and each block counts as a separate run.

anyformat offers transparent, predictable pricing designed for production volumes. No surprises as your document volume scales.

Parse and extract capabilities

Nanonets targets 98% precision automation with confidence-scoring mechanisms. On common document types (invoices, receipts, standard forms) it performs competitively.

On complex documents, though, accuracy drops. Dense tables, mixed-language pages, handwritten annotations, non-standard layouts: all require annotation and training investment to get right. This is the extraction trap. Strong demo accuracy that degrades on real-world data.

anyformat supports 100+ formats and adapts to any layout without templates or training data. Our engine combines LLMs with deterministic rules and calibrated confidence scoring for 99% production accuracy. Every field carries a confidence score calibrated against human judgments, not just model probabilities.

Accuracy in production

Nanonets targets 98% precision and uses confidence scoring to manage accuracy. For standard document types, this is competitive.

anyformat achieves 99% accuracy in production with a fundamentally different approach to handling uncertainty. Our confidence scores are calibrated: when the system says it is 95% confident, it is right 95% of the time. That calibration is what makes reliable automation possible. The system knows what it knows and flags what it doesn't.

In practice: Nanonets may require ongoing HITL annotation to maintain accuracy on new document types. anyformat handles new types zero-shot, with confidence-gated human review only where needed.

European sovereignty and data residency

Nanonets is a US company running on multi-tenant cloud infrastructure (AWS/GCP/Azure). By default, data is stored in US-based, multi-tenant cloud storage. On-prem or Docker deployment options are available, but only through enterprise contracts.

anyformat is EU-native. Built by a European team, deployed with European data residency controls, GDPR-compliant by architecture. For organizations under GDPR, NIS2, or sector-specific European regulations, "configurable region on a US platform" and "EU-native by design" are not the same thing.

ISO 27001 and compliance

Nanonets lists SOC 2, ISO 27001, HIPAA, and GDPR compliance. Solid portfolio.

anyformat is ISO 27001 certified with certification scope covering the document processing pipeline end-to-end. We built our ISMS before the audit narrative. Our controls reflect what we actually do, not what templates say we do.

Both platforms can satisfy typical European procurement requirements on paper. The real difference is architectural: Nanonets' multi-tenant default with ~30 day data retention post-termination versus anyformat's zero-retention processing and EU-native infrastructure.

Zero data retention

Nanonets retains data while a paid subscription is active and may keep it for up to ~30 days after termination. Standard for multi-tenant SaaS, but it may not satisfy data minimization requirements under GDPR or sector-specific regulations.

anyformat offers zero-retention processing as a native option. Documents are processed and source files are not persisted. If "data is retained for 30 days after you leave" is a compliance problem for you, this matters.

Workflow builder and orchestration

This is where Nanonets genuinely differentiates. The block-based workflow builder with conditional logic, lookups, Python blocks, and approval steps is well-designed for non-technical automation.

anyformat's visual workflow builder (Studio) offers branching, conditions, splitting, routing, extraction operators, and human-in-the-loop validation.

The difference is depth. Nanonets workflows handle simple document-to-system flows well. anyformat workflows are built for production document operations: complex multi-step pipelines with validation gates, confidence thresholds, and operational monitoring.

On-premise deployment

Nanonets offers on-prem/Docker options, but only via enterprise contracts. Standard deployment is multi-cloud multi-tenant.

anyformat offers private cloud and on-premise deployment as standard options, including air-gapped environments. No enterprise contract required to keep data on your infrastructure.

Long tables and complex layouts

Nanonets offers template-free table extraction, but complex multi-row structures, merged cells, and multi-page tables remain challenging, particularly without pre-training on specific table formats.

anyformat's multi-stage pipeline handles table complexity natively: merged cells, multi-page spans, and structural breaks are core capabilities, not edge cases.

Figure detection and explanation

Nanonets focuses on text and table extraction. anyformat detects figures within documents, classifies them in context, and produces structured descriptions of charts, diagrams, and embedded images.

Is anyformat a good Nanonets alternative?

Yes, if your requirements include European data sovereignty, zero data retention, or production-grade accuracy on complex documents without an annotation investment.

Nanonets is a capable platform for mid-market teams automating standard document types with its visual workflow builder. Where it falls short is the structural gap between a US-based multi-tenant architecture with ~30 day data retention and what European enterprises actually need for GDPR, NIS2, and sector-specific compliance.

The extraction approach matters too. Nanonets' annotation-heavy model means your team labels data before the system reaches production accuracy on non-standard documents. anyformat's zero-shot extraction eliminates that dependency entirely -- define a schema, process documents, get structured output. No training loop, no HITL bottleneck.

Per-run pricing ($0.02--$0.30/run) also compounds when workflows involve multiple blocks, each counting as a separate run. At enterprise volumes, this becomes unpredictable. anyformat's pricing model is designed for scale.

If you need no-code automation on common document types at moderate volumes, Nanonets delivers. If you need EU-native sovereignty, zero retention, and accuracy that holds on complex layouts without annotation, anyformat is the stronger fit.

When to choose Nanonets

Mid-market teams needing no-code workflow automation on standard document types, with moderate volume and no strict European sovereignty requirements.

When to choose anyformat

European enterprises that demand ISO 27001, EU-native sovereignty, zero-retention processing, and production-grade accuracy on complex documents -- proven at enterprise scale. Get started at anyformat.ai.

anyformat is the agentic document intelligence platform built for European enterprises. ISO 27001 certified, GDPR-compliant, with zero-retention processing and on-premise deployment. Get started at anyformat.ai