Zuva DocAI (Certified Connector) (#1978)

* Zuva DocAI connector

* Fix indentation level

* Remove default base URL

Author: ben741

certified-connectors/Zuva DocAI/README.md

@@ -0,0 +1,82 @@
+# Zuva DocAI connector
+
+The Zuva DocAI connector enables developers to implement contracts AI features into their applications.
+
+## Prerequisites
+
+You will need a Zuva account and a DocAI token. See [Obtaining Credentials](#obtaining-credentials).
+
+## Supported Operations
+
+### File Management
+
+Upload your file for analysis. Note that files automatically expire 48 hours after being uploaded.
+
+- `Submit File`: Upload a file to Zuva's servers
+- `Delete File`: Remove a file from Zuva's servers
+
+### Extraction
+
+Extract specific information from your document, such as its title or governing law. You will
+need the field ID of the fields you would like to extract. Field IDs can be found in the [Field Library](https://docai.zuva.ai/field-library)
+(sign-in required), from [AI trainer](https://zuva.ai/ai-trainer/) if you have trained custom fields, or
+programmatically using the [Fields endpoint](#fields).
+
+- `Create Field Extraction Request`: Initiate asynchronous extraction of fields from a document.
+- `Get Field Extraction Request Status`: Check the status of an existing extraction request.
+- `Get Field Extraction Request Text Results`: Get text results from a completed extraction request.
+
+### Language Classification
+
+Discover the language of your document.
+
+- `Create Language Classification Request`: Initiate asynchronous classification of the document language.
+- `Get Language Classification Request Status`: Get status and results of language classification.
+
+### Document Classification
+
+Categorize your document: is it a contract and, if so, what type of contract (real estate agreement, employment agreement etc.)?
+
+- `Create Document Classification Request`: Initiate asynchronous classification of the document type.
+- `Get Document Classification Request Status`: Get status and results of document classification.
+
+### Optical Character Recognition (OCR)
+
+Obtain the text of your documents, regardless of their original file type (pdf, docx, png ...), as well
+as images of the document.
+
+- `Create OCR Request`: Initiate asynchronous OCR processing of a file.
+- `Get OCR Request Status`: Check whether OCR processing of a file is complete.
+- `Get OCR Results Text`: Retrieve the text from a processed file.
+- `Get OCR Results Images`: Retrieve the images from a processed file.
+
+### Fields
+
+Find out what fields are available to you.
+
+- `Get All Fields`: Return a list of all available fields (both built-in and custom).
+
+## Obtaining Credentials
+
+Zuva DocAI has multiple regional servers. You will need to create an API token for the
+specific region that you wish to use.
+
+1. Create and/or sign into your account at [zuva.ai](https://zuva.ai/).
+2. Navigate to the [DocAI console](https://docai.zuva.ai/)
+3. Select the region you would like to use.
+4. Copy the base URL for the region to your Zuva DocAI connection.
+5. Create a token and copy it to use in your Zuva DocAI connection.
+
+See the  [DocAI documentation](https://zuva.ai/documentation/) for more information about Zuva accounts and tokens.
+
+## Differences between the connector and the DocAI API
+
+This connector makes use of a C# script to modify both requests and responses. As a result, the
+connector functionality does not correspond one-to-one with the documentation for
+the underlying API. In particular, the connector:
+1. Exposes an extra `is_finished` boolean, which can be used to tell if the request is either complete or failed
+2. All requests operate on single files, rather than batches of multiple files.
+
+## Known issues and limitations
+
+The connector does not support any of Zuva's endpoints related to training custom fields.