# Release 2.2

We are pleased to present you Metamaze 2.2. In this release note, we will update you on all the major changes on the platform.

Do you have questions? You can always reach out to <support@metamaze.eu>.&#x20;

### 1. New features in upload module

#### <mark style="color:blue;">50+ languages support (BETA)</mark>

When putting documents through Metamaze, more than 50 languages are now supported for OCR, document classification, entity extraction, … . Below you can find a non-exhaustive list of supported languages:

> Afrikaans, Albanian, Arabic, Armenian, Belarusian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Filipino, Finnish, French, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Korean, Latvian, Lithuanian, Macedonian, Malay, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Russian, Serbian, Serbian, Slovak, Slovenian, Spanish, Swedish, Tamil, Thai, Turkish, Ukrainian, Vietnamese, Yiddish

with the following scripts:

> Arabic, Armenian, Chinese, Cyrillic, Greek, Japan, Korean, Latin (including accents), Tamil, Thai

<figure><img src="https://metamaze.eu/wp-content/uploads/2022/03/image-20220302-082607-2.png" alt=""><figcaption></figcaption></figure>

#### <mark style="color:blue;">Extra filter option for queues</mark>

It is now possible to filter queues by the user who uploaded a batch.

<figure><img src="https://metamaze.eu/wp-content/uploads/2022/03/image-20220302-164328.png" alt=""><figcaption></figcaption></figure>

### 2. Updates in integration

Sharing documents with Metamaze has been made easier by providing 2 new integration possibilities: **SharePoint** & **SFTP**.

> These integrations are an on demand feature, when you need any of them, don’t hesitate to contact <support@metamaze.eu>

### 3. Annotation updates

#### <mark style="color:blue;">Data masking</mark>

When **privacy** is of the utmost importance, a nifty feature has been added to Metamaze which allows you to **mask** **sensitive** **data**. The production data is handled as it should be, no special things happen there. When the document is sent towards the **training** **set**, however, the data is replaced with random but still relevant data. This is achieved by using the correct data masking type.

<figure><img src="https://metamaze.eu/wp-content/uploads/2022/03/image-20220302-083309.png" alt=""><figcaption></figcaption></figure>

#### <mark style="color:blue;">Merge occurrences</mark>

Sometimes you would like to **merge** **all the occurrences of an entity** into **a single field** for your output. From this release on this can be done by using the new setting in the **entity** **configuration**. Simply **enable** the option to get the merging going.

<figure><img src="https://metamaze.eu/wp-content/uploads/2022/03/image-20220302-085101.png" alt=""><figcaption></figcaption></figure>

### 4. Training updates

#### <mark style="color:blue;">Speed improvement</mark>

Our DevOps team has been working hard to improve the training process. They worked their magic and accomplished an astonishing 20 times speed improvement! Get those documents reviewed and train the model to get an improved model faster!

<figure><img src="https://382487820-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LuWehHupT-Y9kwe-PJb%2Fuploads%2FSgd5l2LbiA2KJfyti5Se%2Fimage.png?alt=media&#x26;token=804dac8b-e170-454d-800a-d8b5ea5cc074" alt=""><figcaption></figcaption></figure>

### 5. Security updates

#### <mark style="color:blue;">Okta login</mark>

We support Okta as an identity provider.

More than 14,000 global brands trust Okta to secure their digital interactions with employees and customers.

<figure><img src="https://382487820-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LuWehHupT-Y9kwe-PJb%2Fuploads%2Fjr5Smy9FdTceHak9jJKC%2Fimage.png?alt=media&#x26;token=2c15f0f8-0624-493c-84cc-c6210a473451" alt=""><figcaption></figcaption></figure>

### 6. Various

* The entity extraction and composite entity extraction have been improved to increase recognition.
* Stability and scalability improvements.
* Security improvements.