---
schema_version: "1"
id: 08f7ef3905b31784c3aca966204a12816b6e8f123b06ba2271bf97d1f87f0cec
title: What is Einstein OCR?
collection: developer
version: current
locale: en-us
portal_url: https://docs.salesforce.com/developer/current/en-us/einstein-vision-language/einstein/guides/Detect-Text-in-Images/einstein-ocr.md
canonical_url: https://developer.salesforce.com/docs/analytics/einstein-vision-language/guide/einstein-ocr.html
source_site: developer.salesforce.com
content_type: documentation
content_hash: 2285626a931471e97308e77e08e25c3abb88c93c0a48b749a73ce356497eaacc
products:
  - Einstein Vision and Language
  - Einstein Vision and Language Repo
---
# What is Einstein OCR?

Einstein OCR (optical character recognition) provides models that detect typed and handwritten 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                                                         |
| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------- |
| `OCRModel`   | <ul> <li> Business card, pass a `task` parameter value of `contact`</li> </ul>                                                                                                                                                                                                                                                                                                                                                      | <ul><li> `contact` </li></ul>                                                             |
| `tabulatev2` | <ul><li> Unformatted text, pass a `task` parameter value of `text`.</li><li> Text in tables. Pass a task `parameter` value of `table`.</li> <li> Standard form, pass a `task` parameter value of `form`.</li> <li> Custom form, pass a `task` parameter value of `form` .</li> <li> Invoices, pass a `task` parameter value of invoice. </li><li> Support for typed and handwritten text recognition.</li></ul> | <ul> <li> `text`</li><li>`table`</li><li>`form` </li><li>`invoice` </li></ul> |

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.

<img style="display: block; margin-left: auto; margin-right: auto; width:500px;" src="https://developer.salesforce.com/docs/media/emergency-evacuation-route-signpost_ocr.jpg">

**note:** Currently, Einstein OCR supports only English.