Nanonets

ai document extraction 11 tools available

Nanonets provides an AI-driven Intelligent Document Processing API that transforms unstructured documents into structured data, enabling efficient data extraction and workflow automation.

Connect Nanonets Visit Nanonets

About this integration

Connect Nanonets to Definable to automate repetitive tasks, sync data with the rest of your stack, trigger on real-world events. Personas call Nanonets's 11 tools directly from chat or scheduled flows. You can wire it into any persona to read, write, and react when an event fires.

Connect Nanonets to Definable and it becomes a set of typed tools your agents plan with — triggered by events, run on schedules, or invoked mid-conversation. Every write is checked by the verifier before it lands.

Auth OAuth2 · 2 clicks

Tools 11 exposed

Plans All, incl. Free

Data Never trained on

Nanonets · in workflows

What teams actually run.

Three patterns teams run with Nanonets on day one. Each one is a plain-English prompt — no canvas, no glue code — and you can remix them into anything.

Trigger on event

│ Listen for a new event

│ Parse and validate the payload

└ Take an action with the linked tool

Daily summary

│ Pull yesterday's activity

│ Summarise with the model of your choice

└ Send the digest via email or Slack

Cross-tool sync

│ Read records from one app

│ Transform with a persona

└ Write the result back via this integration

11 tools available

The Nanonets toolbox.

Every Nanonets capability your agents can call, each with a typed schema the planner reads. The router picks the right tool per step; the verifier checks the result.

Create Model

Tool to create a new image classification or OCR model. Use when you need to initialize a model before uploading training images. Provide a list of categories/classes that the model should learn to identify or extract.

Delete OCR Model

Permanently deletes an OCR model from Nanonets. Use this action when you need to remove a trained model that is no longer needed. This action is irreversible - once deleted, the model and all its training data cannot be recovered. Prerequisites: Obtain the model_id from the 'Get all OCR models' action first.

Get All Models

Retrieves all models (OCR and Image Classification) in the user's NanoNets account. Returns model details including ID, type, status, accuracy, and extractable fields/categories. Use to discover available models before performing predictions or training operations.

Get All Prediction Files

Retrieve all prediction files (OCR results) for a NanoNets model. Use this tool to: - List all documents/images that have been processed by an OCR model - Get prediction results including extracted text and field values - Access file URLs and processing status for each prediction The response includes prediction labels with extracted text, confidence scores, and bounding box coordinates for each processed file.

Get OCR Model Details

Tool to retrieve details of an OCR model. Use when you need full metadata of a model by its ID.

Get OCR Training Images

Tool to retrieve training images for an OCR model. Use when you need to page through images associated with a model before training or analysis.

Get Workflows

Tool to retrieve a list of all workflows in your Nanonets account. Use when you need to inventory or inspect all configured workflows.

List Workflow Documents

Retrieve a paginated list of documents processed by a NanoNets workflow. Returns document metadata including processing status, upload timestamp, verification status, and page details. Use this to monitor document processing progress or access extracted data from previously uploaded documents.

Update Model AI Guidelines

Update AI Agent guidelines for an OCR model. Sets instructions for how the AI should handle field and table predictions. Only works for Instant Learning models. Use this to customize extraction behavior for specific document types.

Upload Training Images by File

Tool to upload a training image file to a specified OCR model. Use when adding a local image file to train the model. Supported file formats include PNG, JPEG, and PDF.

Upload Training Images by URL

Tool to upload training images by URL to a specified OCR model. Use when adding URLs of images to a model for training purposes.

See it run

One prompt, start to finish.

A real prompt, the Nanonets tools it calls, and what comes back. This is the whole interface — describe the outcome, agents handle the rest.

❯

Run a real Nanonets task end-to-end — plan it, execute across the API, and hand back a verified result.

nano_nets.create_model Tool to create a new image classification or OCR model. Use when you need to initialize a

nano_nets.delete_ocr_model Permanently deletes an OCR model from Nanonets. Use this action when you need to remove a

nano_nets.get_all_models Retrieves all models (OCR and Image Classification) in the user's NanoNets account. Return · verified

done

Done. Nanonets responded across 3 calls, the verifier signed off, and the result is logged with every payload.

FAQ · Nanonets

Questions, answered.

What teams ask before connecting Nanonets.

01 What can I automate with Nanonets on Definable?

Anything Nanonets exposes through its API. Common ai document extraction workflows on Definable include automate repetitive tasks, sync data with the rest of your stack, trigger on real-world events. Personas can call any of the 11 Nanonets tools directly, then chain the result into another integration without you writing code.

02 How does Nanonets authentication work?

Nanonets uses API_KEY on Definable. You connect once from the integrations page, scoped to the permissions you choose, and from then on any persona that has the integration enabled can act on your behalf. Tokens are encrypted at rest and rotated automatically.

03 Is the Nanonets integration included in my Definable plan?

Yes — every Definable plan, including Starter, includes access to all 11 Nanonets tools. You only need a separate Nanonets subscription if Nanonets itself charges per seat or per API call.

04 Is using Nanonets through Definable secure?

Every call from a persona to Nanonets is logged with the user, persona, prompt, and response. Tokens never leave Definable's secrets vault, scopes are configurable per persona, and you can revoke access at any time from the integration page.

05 How do I get started with Nanonets on Definable?

Sign up for Definable, open the integrations page, find Nanonets, and connect via OAuth or API key. You can immediately attach Nanonets to any persona and start running workflows. The free Starter plan includes 5,000 credits/month.

06 What Nanonets actions does Definable expose?

Definable exposes all 11 Nanonets actions as callable tools — including `Create Model`, `Delete OCR Model`, `Get All Models`, plus 8 more. Each tool gets a typed parameter schema so personas know exactly how to call it.