# Nanonets

**Canonical:** https://apis.io/providers/nanonets/  
**Website:** https://nanonets.com  
**APIs profiled:** 10

Nanonets is a no-code document AI and OCR platform that combines a custom-model OCR API, pre-built document models (invoices, receipts, purchase orders, bills of lading, passports, driver's licenses, bank statements), image classification, and a visual workflow builder with imports, transformations, lookups, approvals, and ERP/CRM/database exports. The Nanonets OCR-3 model and the open-source docext toolkit power the IDP Leaderboard number-one ranking. Enterprise tier adds SAML SSO, SCIM, role-based access, on-prem and private-cloud deployment, HIPAA, SOC 2 Type II, and ISO 27001.

## Kin Score — 59.6 / 100 (strong)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 59.6).

| Facet | Score |
|---|---|
| Discoverability | 59.3 |
| Contract Quality | 65.2 |
| Governance | 25.0 |
| Contract Governance | 25.0 |
| Operational Transparency | 44.7 |
| Developer Ergonomics | 69.0 |
| Commercial Clarity | 73.7 |
| Access Clarity | 73.7 |

## Agent readiness — 40.6 (agent-ready)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | documented |
| OpenAPI Examples | partial |
| Rate Limit Signal | documented |
| Event Surface Described | yes |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Paid · Self-serve signup — onboarding: self-serve, pricing: paid, trial: no (confidence: high).

## APIs (10)

- **Nanonets External Integrations API** — List external integrations connected to a Nanonets account (Postgres, MySQL, MSSQL, MongoDB, and other databases) and execute generic SQL queries against them in the context of ...
- **Nanonets File Assignment API** — Assign files to reviewers.
- **Nanonets File Delete API** — Delete a processed file.
- **Nanonets File Export API** — Retry exports to configured downstream destinations.
- **Nanonets File Review API** — Approve and unapprove files post-extraction.
- **Nanonets File Update API** — Update or add extracted field values on a file.
- **Nanonets Image Classification Predict API** — Predict on uploaded images or image URLs against a classification model.
- **Nanonets OCR Predict API** — Predict on uploaded files or file URLs against a Nanonets OCR model.
- **Nanonets OCR Retrieve API** — Retrieve prediction results for a file, page, or batch.
- **Nanonets OCR Train API** — Upload training images and train or retrain an OCR model.

## Agentic access (1)

- **Nanonets Agentic Access** — 20 operations · 16 acting

## Security (2)

- **Nanonets Authentication** — http · 1 scheme
- **Nanonets Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Plans (1)

- **Nanonets Plans Pricing**

## Use cases (8)

- **Accounts Payable automation** — Multi-format invoice capture, 3-way matching, approval routing, and ERP posting (claimed 80% cost reduction).
- **Order management** — Extract and reconcile purchase orders across formats and channels.
- **Logistics and shipping** — Bill of lading, packing list, and customs document extraction.
- **Healthcare revenue cycle** — Medical claim, EOB, and patient intake document processing under HIPAA BAA.
- **Contract analysis** — Extract obligations, parties, dates, and renewal terms from contracts.
- **Claims handling** — Insurance claim intake, FNOL document parsing, and adjudication support.
- **Vendor onboarding** — Extract W-9, tax certificate, and KYB document data for vendor master records.
- **ID and insurance verification** — Driver's license, passport, and insurance card capture for identity workflows.

## Tags

Artificial Intelligence, OCR, Document AI, Intelligent Document Processing, Data Extraction, Workflow-Automation, Computer-Vision, No-Code

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/nanonets/). Scores are computed from the provider's own public artifacts under a published rubric.