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AI Document Extraction

Nanonets, worked by an AI employee

Not another app for your team to learn, and not a set of rules for you to build. You hire an AI employee, you give it access to your Nanonets account, and you ask it for things in Slack or Teams the way you would ask anyone else on the team. There is nothing to map and nothing to maintain.

  • AI Document Extraction
  • Connects with a key
  • 11 ready-made tools
  • Asked in Slack or Teams
At work

An illustration of how the conversation reads, not a transcript from a client account.

What Nanonets is

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

You paste in a key from your own Nanonets account. It is kept encrypted, and you can withdraw it from inside Nanonets whenever you like.

How a run works

One message in, the work done in Nanonets.

  1. 01

    You ask

    You message your AI employee in the chat your team already has open, in one sentence, in your own words.

  2. 02

    It works out the step

    It decides what the job needs in Nanonets. You do not pick anything from a menu or wire anything together.

  3. 03

    It does the work

    Signed in to your own Nanonets account, inside the access you granted it, doing the thing you asked for.

  4. 04

    It reports back

    It tells you what it did, in the same thread. If it could not do something, it says so rather than guessing.

11 tools it already has

What it can do in Nanonets

These are the ready-made tools your AI employee already has in Nanonets. It is not limited to them, but it never has to be taught these.

  • Create OCR ModelTool to create a new ocr model. use when you need to initialize an ocr model before training.
  • Delete OCR ModelTool to delete an ocr model. use when you need to permanently remove a trained model by its id.
  • Get all OCR modelsTool to retrieve a paginated list of all ocr models. use when you need to inspect or manage existing ocr models. call after authentication to fetch your account's models.
  • Get All Prediction FilesTool to fetch all prediction files associated with a specific model. use when you need to list all inference requests after model processing is complete.
  • Get OCR Model DetailsTool to retrieve details of an ocr model. use when you need full metadata of a model by its id.
  • Get OCR Training ImagesTool 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 WorkflowsTool to retrieve a list of all workflows in your nanonets account. use when you need to inventory or inspect all configured workflows.
  • List Workflow DocumentsTool to retrieve a paginated list of documents processed by a workflow. use when you need to view documents after processing.
  • Update OCR ModelTool to update an ocr model's details. use after reviewing the model's current configuration to modify its name, categories, notes, or classification settings.
  • Upload Training Images by FileTool to upload training images by file to a specified ocr model. use when adding files to a model for training purposes.
  • Upload Training Images by URLTool to upload training images by url to a specified ocr model. use when adding urls of images to a model for training purposes.
Access, and who is in charge of it

You stay the boss of your Nanonets account.

Nothing connects until you approve it. You grant access one app at a time, you can take it back the same way, and everything your AI employee does in there is written down where you can see it.

How we handle your data
  • It signs in to your own Nanonets account. You are not moving anything into ours.
  • You grant access one app at a time, and you can take it back the same way.
  • Everything it does in Nanonets is written down, with what it did and when.
  • Anything you tell it to check with you first, it checks with you first.
Other apps in the same corner of the business

It works in Nanonets and the rest of your software in the same job

A real job rarely stays in one place. Reading a message in one app, checking a record in another and writing the result in a third is one request to your AI employee, not three.

See every app

Questions people ask about Nanonets

Can an AI employee really work inside Nanonets?
Yes. It signs in to your own Nanonets account and works in it the way a new hire would, from the chat your team already has open. Nobody installs anything, and nobody learns a new screen.
Do I have to move anything out of Nanonets?
No. Nothing moves and nothing is replaced. Your records stay in Nanonets, your team carries on in the same screens they used yesterday, and your AI employee works alongside them in there.
How does it get into my Nanonets account?
You paste in a key from your own Nanonets account. It is kept encrypted, and you can withdraw it from inside Nanonets whenever you like. You approve it before anything connects, and you can take the access back the same way you gave it.
What can it actually do in Nanonets?
It has 11 ready-made tools in Nanonets today, among them Create OCR Model, Delete OCR Model and Get all OCR models. The full list is on this page. It is not limited to those, but it never has to be taught them.
Can it use Nanonets and the rest of my software in the same job?
Yes, and that is usually the point. Reading a message in one app, checking a record in Nanonets and writing the result somewhere else is one request to your AI employee, not three separate ones you stitch together.
Who decides what it is allowed to do in Nanonets?
You do. You grant access one app at a time and can withdraw it at any time, anything you ask it to check with you first it checks with you first, and everything it does in Nanonets is written down with what it did and when.