Frequently Asked Questions

Question 1

Do I need anything installed locally on my computer to use DocAI?

Answer

No, if you choose to use DocAI on the Zuva hosted cloud then you do not need to run anything locally.

Question 2

Do we need to build our own user interface to leverage DocAI?

Answer

DocAI does not have a user interface, it is an API platform that is used as the underlying ML engine for contract analysis. It is designed to be embedded into your solution, therefore it is up to you to determine how to consume and display the data that is returned from DocAI.

Question 3

What's the time required to process a document?

Answer

The average time required to process a document depends on the characteristics of the document that you submit. Many factors impact processing time, including page count, number of fields extracted, OCR quality, etc. DocAI scales horizontally which allows it to process a document across multiple nodes.

Question 4

Are there any Microservice dependencies?

Answer

No, the microservices are not dependent on each other, you will have the ability to mix and match the Zuva APIs you need for your development efforts. You can run any processing request after submitting your document(s).

Question 5

What's the relationship between the fields API and the extractions API?

Answer

The fields API (with GET method) is used to retrieve a list of all the AI fields available to extract from your document, and their associated field_id. The field_id is then used by the extractions API to extract them from your document.

Question 6

Which language are the built-in fields provided in?

Answer

The 1,300+ out of the box fields were trained on publically available, English documents. However, using the AI Trainer, or DocAI Training API, you are able to train new fields in other latin script languages.

Question 7

Can DocAI recognize handwritten text?

Answer

No, Zuva DocAI will not be able to extract fields out of documents that are handwritten.

Question 8

Can I create multiple tokens? How do permissions work per token?

Answer

DocAI usage is managed based on tokens. You are able to create multiple tokens from the admin console. Each token can only access the objects that it created, be it files, or requests.

Question 9

Can I restore a document once it has been deleted from DocAI?

Answer

DocAI will delete a document submission after 48 hours, or you can choose to delete it before 48 hours using the delete files API. Once a document has been deleted from DocAI it can not be restored.

Question 10

Can I do bulk submissions and submit multiple documents via 1 API call?

Answer

Partially. Every file you submit requires 1 API call. However, the Document Classification/Field Extractions/Language Classification endpoints accept a list of file_ids. In other words, these three endpoints can be used to create multiple requests for multiple files with a single API call.

Question 11

Does DocAI support zip files?

Answer

No, DocAI currently does not support zip files.

Question 12

How can I monitor my usage on DocAI?

Answer

You can monitor usage through the admin console. Usage is tracked on a per token basis.

Question 13

How does Zuva build and train the out of the box (OOTB) AI fields?

Answer

Our team of Legal Knowledge Engineers use repositories of publicly-available documents, such as EDGAR, to train AI fields. Our OOTB AI fields are primarily trained on English documents. We also offer a subset of fields in German, and Brazilian Portuguese OOTB. These AI fields are trained using Zuva’s AI Trainer, and then published for use in DocAI.

Question 14

Which cloud platform do you use?

Answer

DocAI is built on Microsoft Azure.

Question 15

How is DocAI hosted, and on which geographic locations?

Answer

We offer hosting on the Zuva cloud and on premise, the Zuva cloud is hosted in the US, Japan and EU.

Question 16

Which OCR do you use?

Answer

The OCR Engine used is Kofax Omnipage. Zuva’s OCR pipeline includes additional processing prior to running the results through the machine learning engine.

Question 17

Can I train on top of a built-in AI field with the training API?

Answer

Training on top of a built-in AI field is possible using the DocAI training API, you can use this functionality to alter the performance of the built-in AI fields. This is not a function that is available with AI Trainer, our UI based training product.