Custom OCR Node.js

The Node.js OCR SDK supports custom-built APIs.
If your document isn't covered by one of Mindee's Off-the-Shelf APIs, you can create your own API using theAPI Builder.


const mindee = require("mindee");
// for TS or modules:
// import * as mindee from "mindee";

// Init a new client
const mindeeClient = new mindee.Client({
  apiKey: "my-api-key"

// Load a file from disk
const inputSource = mindeeClient.docFromPath("/path/to/the/file.ext");

// Create a custom endpoint for your product
const customEndpoint = mindeeClient.createEndpoint(
  // "my-version" // Optional: set the version, defaults to "1"

// Parse it
const apiResponse = mindeeClient
      endpoint: customEndpoint,
      cropper: true

// Handle the response Promise
apiResponse.then((resp) => {
  // print a string summary

Custom Endpoints

You may have noticed in the previous step that in order to access a custom build, you will need to provide an account and an endpoint name at the very least.

Although it is optional, the version number should match the latest version of your build in most use-cases.
If it is not set, it will default to "1".

Field Types

Custom Fields

List Field

A ListField is a special type of custom list that implements the following:

  • confidence (number): the confidence score of the field prediction.
  • pageId (number): the ID of the page, is undefined when at document-level.
  • reconstructed (boolean): indicates whether or not an object was reconstructed (not extracted as the API gave it).

Since the inner contents can vary, the value isn't accessed through a property, but rather through the following functions:

  • contentsList() (Array<string, number>): returns a list of values for each element.
  • contentsString(separator=" ") (string): returns a list of concatenated values, with an optional separator string between them.
  • toString(): returns a string representation of all values, with an empty space between each of them.

Classification Field

A ClassificationField is a special type of custom classification that implements the following:

  • value (string): the value of the classification. Corresponds to one of the values specified during training.
  • confidence (number): the confidence score of the field prediction.
  • toString(): returns a string representation of all values, with an empty space between each of them.


Custom builds always have access to at least two attributes:


fields ({string: ListField}):



classifications ({string: ClassificationField}): The purchase category among predefined classes.


🧪 Custom Line Items

⚠️ Warning: Custom Line Items are an experimental feature, and are still undergoing development at the moment. Implement it at your own risk.

Though not supported directly in the API, sometimes you might need to reconstitute line items by hand.
The library provides a tool for this very purpose:


The getLineItems() function takes the following arguments:

  • anchorNames (string[]): a list of the names of possible anchor (field) candidate for the horizontal placement a line. If all provided anchors are invalid, the LineItem won't be built.
  • heightLineTolerance (number): The height tolerance used to build the line. It helps when the height of a line can vary unexpectedly.
  • fieldNamesTargeted (string[]): a list of fields to retrieve the values from
  • fields ({string: ListField}): All available fields to construct line items from.

It returns a LineItems object.


A LineItems has only one attribute:

  • rows (Line[]): array of the reconstructed lines.


Line represent a line as it has been read on a page. It has the following attributes:

  • rowNumber (number): Number of a given line. Starts at 1.
  • fields (Map<string, ListFieldValue>[]): List of the fields associated with the line, indexed by their column name.
  • bbox (BBox): Simple bounding box of the current line made up of four number.
  • heightTolerance (number): Height tolerance threshold used to build a line. Helps with unexpected height variations.


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