NANONETS ALTERNATIVE

Document extraction without the workflow platform.

Extract structured data from any document. 150+ pre-built configs, a REST API with Python and Node SDKs, and per-document pricing. No workflow platform required. Free to try.

Why teams switch from NANONETS to Sensible:

150+ pre-built configs. No model training required for new document types.

Pay only for completed extractions, not failed attempts.

REST API with Python and Node SDKs. No workflow platform in the way.

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Sensible vs Nanonets

Feature-by-feature, based on published documentation.

Capability

Sensible

Nanonets

Document complexity

Multi-page, multi-table, nested fields, 1,000+ page documents

Invoices, bills of lading, purchase orders, passports, bank statements, receipts. Accuracy may decrease with high document variety (40+ formats from different issuers may require repeated model adjustment).

Pre-built support

150+ document configs, production-ready

Pre-built AI extractors for common document types

API

REST API with Python and Node SDKs

REST API available. Primary interface is the no-code platform.

Pricing model

Per-document (not per-page)

Per-block-run. Data extraction: $0.30/run. Costs compound across workflow blocks. $200 free credits.

Integrations

REST API, webhooks, Python/Node SDKs, custom connectors

Salesforce, HubSpot, Airtable, SAP, ERPs, Dropbox, Google Drive, email

Configuration

SenseML: config as code, version-controlled, CI/CD ready

No-code workflow builder in web UI

Extraction approach

Hybrid: AI + deterministic rules

AI extractors without predefined templates. No-code workflow builder.

Schema enforcement

Output validated against your schema on every extraction

Not documented. Extracted values passed into workflows without schema validation.

Audit trail

Full provenance. Every field traced to source coordinates in the original document.

Not documented. No field-level source coordinate mapping.

Confidence signals

Per-field confidence scores with automatic flagging for review

AI confidence scores referenced. Specific per-field scoring not documented.

Security

SOC 2 Type II. HIPAA (Enterprise).

GDPR, SOC 2, HIPAA compliant.

How Sensible works

Send your document

PDFs, images, scans. REST API, SDKs, or dashboard upload.

Extract + validate

AI extracts fields. Deterministic rules enforce your schema.

Get verified JSON

Typed output with source coordinates and full audit trail.

"Sensible was a clear front-runner when it comes to getting together a working solution as quickly as possible, and the ability to handle document automation in a way that's really configurable."

Adam McCann

CEO, Claimer

Common questions

How is Sensible different from Nanonets?

Nanonets is a no-code workflow automation platform with document extraction capabilities. Sensible is a hybrid extraction platform built for engineering teams. Sensible adds schema enforcement, full audit trails with source coordinates, and SenseML: extraction logic defined as code that you version control and deploy through CI/CD.

Can I migrate my document workflows from Nanonets?

Yes. Nanonets offers zero-shot extraction that works for standard documents, but accuracy may vary on complex, multi-page, or highly variable formats with dozens of layout variants per document type. Sensible's 150+ pre-built configs are production-tested across hundreds of issuers and layout variations. Sensible supports the same document types Nanonets handles (invoices, bank statements, bills of lading, purchase orders) plus complex multi-page documents like insurance loss runs, loan packets, and medical records. The REST API and SDKs let you integrate Sensible into your existing pipeline.

What does "schema enforcement" mean?

You define the expected shape of your output: field names, data types, required fields, and value constraints. Sensible validates every extraction against this schema. If a field is the wrong type, out of range, or missing, the extraction fails with a clear error instead of passing bad data downstream.

Is Sensible more expensive than Nanonets?

The pricing models differ. Nanonets charges per block run ($0.30 per data extraction run), and costs compound when workflows include multiple blocks (formatting, classification, validation). Nanonets also charges for failed extractions; if the model misreads a document, you pay for the attempt. Sensible charges per document for completed extractions, regardless of how many fields you extract or how many pages the document contains. A 50-page loan packet counts as one document. The free trial lets you compare costs on your actual documents.

Do I need to write code to use Sensible?

Sensible is API-first, built for engineering teams. You can also use the web dashboard to configure and test extractions without code. The primary advantage is SenseML: extraction logic defined in config files that you version control, test, and deploy like any other code.

What document types does Sensible support?

150+ pre-built configurations covering bank statements, tax forms, insurance documents, invoices, pay stubs, drivers licenses, medical records, bills of lading, and more. You can also configure custom extraction for any document type.

What security certifications does Sensible have?

SOC 2 Type II certified. HIPAA compliant on the Enterprise plan.