Nanonets

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
    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
    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
    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
    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-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
access: 3rd-Party
common:
  - type: PostmanWorkspace
    url: https://www.postman.com/kinlaneapi/nanonets/overview
  - type: ArazzoWorkflows
    url: arazzo/
    workflows:
      - url: arazzo/nanonets-async-ocr-predict-and-poll-workflow.yml
        name: Nanonets Async OCR Predict and Poll
        summary: Submit a large document for async OCR, then poll until the file-level prediction is ready.
      - url: arazzo/nanonets-async-url-predict-poll-approve-workflow.yml
        name: Nanonets Async URL Predict Poll and Approve
        summary: Async-predict a document by URL, poll until ready, then approve the file.
      - url: arazzo/nanonets-batch-review-pending-files-workflow.yml
        name: Nanonets Batch Review Pending Files
        summary: List a model's recent predictions, then approve the first unmoderated file.
      - url: arazzo/nanonets-classify-image-and-branch-workflow.yml
        name: Nanonets Classify Image and Branch
        summary: Classify an uploaded image and branch on whether a top label was predicted.
      - url: arazzo/nanonets-page-level-correct-and-approve-workflow.yml
        name: Nanonets Page-Level Correct and Approve
        summary: Pull a single page's prediction, correct its fields, then approve the file.
      - url: arazzo/nanonets-predict-and-assign-reviewer-workflow.yml
        name: Nanonets Predict and Assign Reviewer
        summary: Predict on a file, fetch the file-level result, and assign it to a reviewer.
      - url: arazzo/nanonets-predict-and-enrich-with-database-workflow.yml
        name: Nanonets Predict and Enrich with Database
        summary: Extract a document, then validate it against an external database integration.
      - url: arazzo/nanonets-predict-correct-and-reexport-workflow.yml
        name: Nanonets Predict Correct and Re-export
        summary: Predict on a file, correct its extracted fields, and retry the export.
      - url: arazzo/nanonets-resolve-integration-and-query-workflow.yml
        name: Nanonets Resolve Integration and Query
        summary: List external integrations, pick the first one, and run a SQL-style query.
      - url: arazzo/nanonets-sync-predict-and-review-workflow.yml
        name: Nanonets Sync Predict and Review
        summary: Run a sync OCR prediction on a small file, then approve or hold it for review.
      - url: arazzo/nanonets-upload-training-images-and-train-workflow.yml
        name: Nanonets Upload Training Images and Train
        summary: Upload annotated local training images to an OCR model, then kick off training.
      - url: arazzo/nanonets-upload-training-urls-and-train-workflow.yml
        name: Nanonets Upload Training URLs and Train
        summary: Add training images to an OCR model from public URLs, then start training.
  - 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'