What is Einstein OCR?

Einstein OCR (optical character recognition) provides models that detect typed and handwritten (Beta) text in an image or PDF.

You access the models from a single REST API endpoint. Each model is used for specific use cases, such as business card scanning, product lookup, and digitizing documents and tables.

Model ID

Used For

Recommended Task Parameter Values


  • Business card, pass a task parameter value of contact
  • contact


  • Unformatted text, pass a task parameter value of text.
  • Text in tables. Pass a task parameter value of table.
  • Standard form, pass a task parameter value of form.
  • Custom form, pass a task parameter value of form (Beta).
  • Invoices, pass a task parameter value of invoice (Beta).
  • Support for typed and handwritten text recognition (Beta).
  • text
  • table
  • form (Beta)
  • invoice (Beta)

When you call the API, you send in an image, and the JSON response contains various elements based on the value of the task parameter:

  • String of alphanumeric characters that the model predicts.
  • Confidence (probability) that the detected bounding box contains text.
  • XY coordinates for the location of the character string within the image (also called a bounding box).
  • For tabular data, the table row and column in which the text is located.
  • For business cards, the entity type of the detected text such as ORG, PERSON, and so on.
  • For common forms, key-value pairs that contain the detected text, bounding box data for the detected text, and the entity (a consistent field name).

Here’s a sample image. The orange boxes and text indicate the detected text.




Currently, Einstein OCR supports only English.