aid: nanonets
url: https://raw.githubusercontent.com/api-evangelist/nanonets/refs/heads/main/apis.yml
apis:
- aid: nanonets:nanonets-ocr-api
  name: Nanonets OCR API
  tags:
  - OCR
  - Document AI
  - Data Extraction
  - Intelligent Document Processing
  humanURL: https://docs.nanonets.com/reference/overview
  properties:
  - url: https://docs.nanonets.com/reference/overview
    type: Documentation
  - url: https://docs.nanonets.com/reference/ocrmodellabelfilebymodelidpost-1
    type: Documentation
  - url: https://docs.nanonets.com/reference/ocrmodellabelfileasyncbymodelidpost-1
    type: Documentation
  - url: https://docs.nanonets.com/reference/ocrmodellabelurlsbymodelidpost
    type: Documentation
  - url: https://docs.nanonets.com/reference/ocrmodellabelurlsasyncbymodelidpost-1
    type: Documentation
  - url: https://docs.nanonets.com/reference/ocrmodelgetpredictionfilebyfileid
    type: Documentation
  - url: https://docs.nanonets.com/reference/ocrmodelgetpredictionfilebypageid
    type: Documentation
  - url: https://docs.nanonets.com/reference/ocrmodellistpredictionfiles
    type: Documentation
  - url: https://docs.nanonets.com/reference/ocrmodeluploadfilebymodelidpost-1
    type: Documentation
  - url: https://docs.nanonets.com/reference/ocrmodeluploadurlsbymodelidpost-1
    type: Documentation
  - url: https://docs.nanonets.com/reference/ocrmodeltrainbymodelidpost-1
    type: Documentation
  - url: openapi/nanonets-ocr-api-openapi.yml
    type: OpenAPI
  - url: json-schema/nanonets-prediction-schema.json
    type: JSONSchema
  - url: json-ld/nanonets-context.jsonld
    type: JSONLD
  - type: NaftikoCapability
    url: capabilities/ocr-prediction.yaml
  - type: NaftikoCapability
    url: capabilities/ocr-training.yaml
  description: Synchronous and asynchronous OCR prediction and training endpoints over `app.nanonets.com/api/v2/OCR/Model/{model_id}`.
    Upload files by local path or public URL, retrieve predictions for a file, page, or batch, and train or
    retrain custom Nanonets OCR models. Sync endpoints are optimized for files of 3 pages or fewer; async
    endpoints handle larger documents. Returns labels, bounding boxes, OCR text, confidence scores, and table
    cell predictions.
- aid: nanonets:nanonets-image-classification-api
  name: Nanonets Image Classification API
  tags:
  - Image Classification
  - Computer Vision
  - Deep Learning
  humanURL: https://docs.nanonets.com/reference/imagecategorizationlabelfilepost
  properties:
  - url: https://docs.nanonets.com/reference/imagecategorizationlabelfilepost
    type: Documentation
  - url: https://docs.nanonets.com/reference/imagecategorizationlabelurlspost2
    type: Documentation
  - url: openapi/nanonets-image-classification-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/image-classification.yaml
  description: Classify images by file upload or by publicly accessible URL against a Nanonets image classification
    model. Supports batch URL submission for efficient prediction. Base path `/api/v2/ImageCategorization/LabelFile/`
    and `/api/v2/ImageCategorization/LabelUrls/`.
- aid: nanonets:nanonets-file-management-api
  name: Nanonets File Management API
  tags:
  - File Management
  - Workflow
  - Approvals
  - Documents
  humanURL: https://docs.nanonets.com/reference/file-review-api
  properties:
  - url: https://docs.nanonets.com/reference/file-review-api
    type: Documentation
  - url: https://docs.nanonets.com/reference/assign-files-via-api
    type: Documentation
  - url: https://docs.nanonets.com/reference/delete-files-via-api
    type: Documentation
  - url: https://docs.nanonets.com/reference/export-files-via-api
    type: Documentation
  - url: https://docs.nanonets.com/reference/update-fields-via-api
    type: Documentation
  - url: https://docs.nanonets.com/docs/retry-file-upload-via-api
    type: Documentation
  - url: openapi/nanonets-file-management-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/file-management.yaml
  description: Approve, unapprove, assign, update, delete, and export files within a Nanonets model. Drives the
    review-and-approval workflow, PATCH-based field updates, team assignment to specific reviewers, and export
    retry to downstream destinations (Salesforce, QuickBooks, Xero, Google Sheets, SAP, etc.).
- aid: nanonets:nanonets-external-integrations-api
  name: Nanonets External Integrations API
  tags:
  - Integrations
  - Database
  - Lookups
  humanURL: https://docs.nanonets.com/reference/getexternalintegrations
  properties:
  - url: https://docs.nanonets.com/reference/getexternalintegrations
    type: Documentation
  - url: https://docs.nanonets.com/reference/executequery-1
    type: Documentation
  - url: openapi/nanonets-external-integrations-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/external-integrations.yaml
  description: 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 a Nanonets workflow. Used
    by Database Matching Conditions and database lookup actions inside the no-code workflow builder.
name: Nanonets
description: 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.
tags:
- AI
- Artificial Intelligence
- OCR
- Document AI
- Intelligent Document Processing
- Data Extraction
- Workflow Automation
- Computer Vision
- No-Code
kind: contract
image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
access: 3rd-Party
common:
- url: https://nanonets.com
  type: Portal
- url: https://app.nanonets.com
  type: Console
- url: https://docs.nanonets.com
  type: Documentation
- url: https://docs.nanonets.com/docs/nanonets-overview
  type: GettingStarted
- url: https://docs.nanonets.com/reference/authentication
  type: Authentication
- url: https://docs.nanonets.com/reference/response-code-error
  type: Errors
- url: https://docs.nanonets.com/reference/how-to-handle-429-error
  type: RateLimits
- url: https://docs.nanonets.com/docs/generate-api-key
  type: Documentation
  name: Generate API Key
- url: https://docs.nanonets.com/docs/async-and-sync-file-processing
  type: Documentation
  name: Async and Sync File Processing
- url: https://docs.nanonets.com/docs/file-formats
  type: Documentation
  name: Supported File Formats
- url: https://docs.nanonets.com/docs/language-supported
  type: Documentation
  name: Languages Supported
- url: https://docs.nanonets.com/docs/webhook-export
  type: Webhooks
- url: https://nanonets.com/blog/
  type: Blog
- url: https://accounts.nanonets.com/signup
  type: SignUp
- url: https://legal.nanonets.com/terms
  type: TermsOfService
- url: https://legal.nanonets.com/privacy
  type: PrivacyPolicy
- url: https://legal.nanonets.com/dpa
  type: Documentation
  name: Data Processing Agreement
- url: https://github.com/NanoNets
  type: GitHubOrganization
- url: https://www.postman.com/nanonetsapi/nanonets
  type: Documentation
  name: Postman Workspace
- url: https://huggingface.co/nanonets
  type: Documentation
  name: Hugging Face — Nanonets Open Models
- url: https://www.idp-leaderboard.org/
  type: Documentation
  name: IDP Leaderboard
- url: https://github.com/NanoNets/docext
  type: GitHubRepository
  name: docext (on-prem OCR-free extraction)
- url: https://github.com/NanoNets/docstrange
  type: GitHubRepository
  name: docstrange (document conversion)
- url: https://github.com/NanoNets/nanoindex
  type: GitHubRepository
  name: nanoindex (agentic RAG harness)
- url: https://github.com/NanoNets/nanonets-python-client
  type: SDK
  name: Python client (pip)
- url: https://github.com/NanoNets/nanonets-javascript
  type: SDK
  name: JavaScript / Node.js
- url: https://github.com/NanoNets/nanonets-go
  type: SDK
  name: Go
- url: https://github.com/NanoNets/ocr-js-sdk
  type: SDK
  name: OCR Node.js SDK
- url: https://github.com/NanoNets/ic-js-sdk
  type: SDK
  name: Image Classification Node.js SDK
- url: https://github.com/NanoNets/object-detection-sample-python
  type: CodeExamples
  name: Object Detection Python sample
- url: https://github.com/NanoNets/object-detection-sample-nodejs
  type: CodeExamples
  name: Object Detection Node.js sample
- url: https://github.com/NanoNets/object-detection-sample-golang
  type: CodeExamples
  name: Object Detection Go sample
- url: https://github.com/NanoNets/object-detection-sample-php
  type: CodeExamples
  name: Object Detection PHP sample
- url: https://github.com/NanoNets/nanonets-ocr-sample-python
  type: CodeExamples
  name: OCR Python sample
- url: https://github.com/NanoNets/n8n-nodes-nanonets
  type: Tools
  name: n8n nodes for Nanonets
- url: plans/nanonets-plans-pricing.yml
  type: Plans
- url: rate-limits/nanonets-rate-limits.yml
  type: RateLimits
- url: finops/nanonets-finops.yml
  type: FinOps
- url: rules/nanonets-rules.yml
  type: SpectralRules
- url: vocabulary/nanonets-vocabulary.yml
  type: Vocabulary
- name: Features
  type: Features
  data:
  - name: Nanonets OCR-3 model
    description: Highest-accuracy OCR model on the public IDP Leaderboard, ahead of GPT-5, Gemini, and Claude.
  - name: Instant Learning (zero-shot) models
    description: Train an extraction model from a handful of examples or even from a written field description,
      without large labeled datasets.
  - name: Pre-built document models
    description: Ready-to-use models for invoices, receipts, purchase orders, bills of lading, bank statements,
      passports, and driver's licenses.
  - name: Custom-trained OCR models
    description: Upload images, annotate labels and tables, train and retrain a model tied to a unique `model_id`.
  - name: Document Classification and Routing
    description: Classify incoming documents and route each to the correct extraction model and workflow.
  - name: Table extraction
    description: Multi-page table parsing with per-cell bounding boxes, row/column indices, and OCR text.
  - name: Sync and async file processing
    description: Sync endpoints optimized for ≤3-page files; async endpoints for larger documents with polling
      by `request_file_id`.
  - name: Workflow builder
    description: No-code visual pipeline of imports, transformations, lookups, approvals, conditional routing,
      and exports.
  - name: Approval rules and review queues
    description: Field- and cell-level approval rules with reviewer assignment, comments, validation status,
      and duplicate detection.
  - name: Python post-processing blocks
    description: Custom Python blocks inside the workflow for bespoke data transformation and validation logic.
  - name: Generative AI blocks
    description: LLM-powered transformation steps for normalization, enrichment, and classification.
  - name: PII Masking
    description: Mask personally identifiable information before downstream export.
  - name: Confidence scoring
    description: Per-field and per-cell confidence scores feed routing rules and human-in-the-loop review.
  - name: On-prem and private cloud deployment
    description: Run the Nanonets OCR stack inside customer infrastructure with the OCR Docker offering.
  - name: White-label review and approval UI
    description: Embed the Nanonets review experience under a customer-branded domain.
  - name: SAML SSO and SCIM
    description: Enterprise-grade identity and lifecycle management.
  - name: Audit logs and SIEM integration
    description: Enterprise audit trail with SIEM-ready export.
  - name: Data residency
    description: US, EU, and APAC region choices for enterprise customers.
  - name: Open-source extraction toolkit (docext)
    description: On-prem, OCR-free unstructured data extraction and benchmarking toolkit, MIT-licensed.
  - name: Document conversion (docstrange)
    description: Convert any document, PDF, image, Word doc, PPT, or URL into Markdown, JSON, CSV, or HTML.
  - name: Agentic RAG (nanoindex)
    description: Tree- and graph-based reasoning harness for long-document retrieval with citations down to
      the pixel.
- name: UseCases
  type: UseCases
  data:
  - name: Accounts Payable automation
    description: Multi-format invoice capture, 3-way matching, approval routing, and ERP posting (claimed 80%
      cost reduction).
  - name: Order management
    description: Extract and reconcile purchase orders across formats and channels.
  - name: Logistics and shipping
    description: Bill of lading, packing list, and customs document extraction.
  - name: Healthcare revenue cycle
    description: Medical claim, EOB, and patient intake document processing under HIPAA BAA.
  - name: Contract analysis
    description: Extract obligations, parties, dates, and renewal terms from contracts.
  - name: Claims handling
    description: Insurance claim intake, FNOL document parsing, and adjudication support.
  - name: Vendor onboarding
    description: Extract W-9, tax certificate, and KYB document data for vendor master records.
  - name: ID and insurance verification
    description: Driver's license, passport, and insurance card capture for identity workflows.
- name: Integrations
  type: Integrations
  data:
  - name: SAP
    description: ERP export connector for posting extracted data.
  - name: QuickBooks
    description: Accounting export connector for invoices and bills.
  - name: Xero
    description: Accounting export connector and lookup data source.
  - name: Sage
    description: ERP export connector.
  - name: NetSuite
    description: ERP export connector with credential setup guide and lookup support.
  - name: Zoho Books
    description: Accounting export connector.
  - name: Salesforce
    description: CRM export connector for routing extracted records into Salesforce objects.
  - name: HubSpot
    description: CRM destination for extracted data.
  - name: Gmail
    description: Email import and inbox-based intake.
  - name: Microsoft Outlook / Email
    description: Email import action with run history.
  - name: Slack
    description: Notification and collaboration channel.
  - name: Microsoft Teams
    description: Notification and collaboration channel.
  - name: Jira
    description: Project management destination.
  - name: Asana
    description: Project management destination.
  - name: Google Drive
    description: Import and export connector for cloud-stored documents.
  - name: Dropbox
    description: Import and export connector.
  - name: Box
    description: Cloud storage source.
  - name: OneDrive
    description: Import and export connector.
  - name: SharePoint
    description: Import and export connector.
  - name: Google Sheets
    description: Lookup data source and export destination.
  - name: Google Docs
    description: Export destination.
  - name: Microsoft Excel
    description: Export destination.
  - name: Smartsheet
    description: Export destination.
  - name: FTP server
    description: Export destination for partner integrations.
  - name: Snowflake
    description: Data warehouse destination.
  - name: Stripe
    description: Payment and billing data source.
  - name: Zendesk
    description: Support workflow integration.
  - name: Notion
    description: Document destination.
  - name: Zapier
    description: Trigger-based intake for arbitrary SaaS connections.
  - name: n8n
    description: Open-source workflow automation via `n8n-nodes-nanonets`.
  - name: Webhooks
    description: Push extracted data to any HTTP endpoint with a documented payload structure.
  - name: PostgreSQL / MySQL / MSSQL / MongoDB
    description: External database integrations for lookups and execute-query operations.
- name: Solutions
  type: Solutions
  data:
  - name: Starter
    description: Free tier with $200 in credits, API access, email import, cloud storage connectors, up to
      3 users, and community support.
  - name: Growth
    description: Volume-discount tier adding classification AI, barcode and signature detection, generative
      AI blocks, custom Python blocks, ERP and database integrations, AI reporting, and team-wide credit sharing.
  - name: Enterprise
    description: Tailored pricing with SAML SSO, SCIM, RBAC, HIPAA and SOC 2 compliance, private cloud or on-prem
      deployment, data residency, enterprise connectors (Salesforce, SAP, Oracle), dedicated support and SLAs,
      audit logs, SIEM integration, and whitelabel UI.
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com
created: '2026-05-25'
modified: '2026-05-25'