# Uploads
## Overview
Metamaze provides an overview of all uploads and documents in the production data. When you select the overview of the uploads, you see a list in which each line shows an upload with its properties. An upload can exist out of several documents.
The overview consists of several columns:
| Column | Description |
| ------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Status |
Processing Document(s) in the upload are being processed by the AI models
Input required Document(s) in the upload have been processed by the AI models but some or all documents require human input to complete the document
Processed Document(s) in the upload have been processed
Failed Document(s) in the upload have been processed but were marked as failed
|
| Number of documents | Shows the number of document in the upload with a breakdown by status |
| Uploaded on | The date the upload was uploaded |
| Completed on | The date the upload was completed |
| Validator | The current person who is validating the upload |
### Filters
Filtering uploads based on criteria is handy to find your upload(s) quickly. \
**Note:** When extra fields for your organisation have been defined, they will also be shown in the filter options.
### Bulk actions
Selecting uploads allows you to perform an action on multiple uploads:
* Send to training\
Sends the selected uploads that have been processed to the training data so that your models are enriched with production data and improve your models (this happens automatically for uploads that required input from the user)
* Retry upload(s)\
This will perform a new OCR and do predictions on documents when possible
* Delete\
Deletes the selected upload(s)
## Uploading documents
Users with the right permission (check out: [Roles & permissions](/organisation/users/roles-and-permissions.md)) can manually upload files into the application by using the "+ Upload" button.
A new window will appear where you can select the relevant files. You can either drag and drop the files into the window or search for the files via the explorer screen using the 'Browse' button.
### Document options
#### 1. Each file is a document
A document will be created for each file in the upload.
#### 2. Each page is a document
A document will be created for each page in the upload.
#### 3. All files are one document
All files will be merged into one document
**Document type and language**
You can select the relevant document type and language of the uploaded files in the corresponding dropdown lists. If you do not specify these, the language will be detected automatically, and the document type will be predicted by the document classification model, if there is any model deployed.
### Limitations
Manually uploading data is limited to 20 files per batch.
See [Uploading data](/getting-started/processing-documents/input-of-files.md)for more information.
### Uploading documents via API
See [Rest API (JSON)](/project/project-settings/input/api-integration.md)
## Upload details
When you click an upload, you can view extra details such as when it was uploaded, which steps of the pipeline it went through, and what the current status is of the upload and the documents in the upload.
When an upload is being processed, you can follow all steps in the process in real-time. Each step is represented by a separate section within the detail view:
* Input from upload
* OCR
* Per document:
* Document creation (page management and/or document classification)
* Entity extraction
* Business rules
* Output of upload
#### Example
In the above example, we can see that the upload is currently stuck on input required by the user. We can see on the line itself that Anas Mazouni has taken up the upload to validate it. When we click the row to show the details of the upload, we can see the following:
* Upload of the document has finished
* OCR step has run
* 2 documents for the upload
* the first document requires input from the user
* the second document was successfully processed
* No output step shown as the upload is stuck on requiring input from the user to continue
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