Upload File

A guide on how to upload files via Base64 and Binary endpoints

Uploading a file in a nutshell

Alphamoon Workspace supports a variety of file formats such as DOCX, XLSX, PDF (editable and scanned), PNG, JPG, TIFF, and more.

File formats Want to know more about the type of files you can upload to Alphamoon Workspace? Visit the Supported Document Types tab.

To upload a file to a process, a user needs to know process_id. If you want to know where to find it visit the Get the Process ID tab.

Note It is up to you whether you upload your files using Base64 or the Binary endpoints.

Base64

Base64 Encoding is the most widely used technique for storing or transmitting binary data by converting it to text.

Upload a file (Base64)

POST /api/v0.3/processes/{process_id}/files/base64

Upload the file using the process_id.

Path Parameters

Name

Type

Description

{
  "id": "b6e07480bb2a4ea59a4b5855814585d8",
  "collectionId": "223742cc9bca43fd81b2d41b0018e4c7",
  "name": "faktura.pdf",
  "status": "Queued",
  "progress": 0,
  "numberOfPages": null,
  "createdAt": "2023-06-07T11:18:19Z",
  "updatedAt": "2023-06-07T11:18:19Z",
  "metadata": {}
}

See the example

curl -X 'POST' \
  'https://workspace.alphamoon.ai/api/v0.3/processes/db5f9a6d63da4e0795a3f73bfbf56a8d/files/base64' \
  -H 'accept: application/json' \
  -H 'Authorization: Basic API_KEY_BASE64_ENCODED' \
  -H 'Content-Type: application/json' \
  -d '{
  "fileName": "faktura.pdf",
  "fileContentsBase64": "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"
}'

{
  "id": "b6e07480bb2a4ea59a4b5855814585d8",
  "collectionId": "223742cc9bca43fd81b2d41b0018e4c7",
  "name": "faktura.pdf",
  "status": "Queued",
  "progress": 0,
  "numberOfPages": null,
  "createdAt": "2023-06-07T11:18:19Z",
  "updatedAt": "2023-06-07T11:18:19Z",
  "metadata": {}
}

Binary

Binary file upload refers to the process of transferring and uploading files that contain binary data, such as images, documents, or any other non-text-based files. Unlike plain text files, binary files consist of a sequence of bytes that represent the encoded data of the file.

Upload file (Binary)

POST /api/v0.2/processes/{process_id}/files/binary

Upload the file by using the process_id.

Path Parameters

Request Body

{
  "id": "9f0a31241da04f3b8f5d3d132173d853",
  "collectionId": "86311b539c454e6288d06eda885bee08",
  "name": "faktura.pdf",
  "status": "Queued",
  "progress": 0,
  "numberOfPages": null,
  "createdAt": "2023-06-07T09:52:23Z",
  "updatedAt": "2023-06-07T09:52:23Z",
  "metadata": {}
}

See the example

curl -X 'POST' \
  'https://workspace.alphamoon.ai/api/v0.2/processes/db5f9a6d63da4e0795a3f73bfbf56a8d/files/binary' \
  -H 'accept: application/json' \
  -H 'Authorization: Basic API_KEY_BASE64_ENCODED' \
  -H 'Content-Type: multipart/form-data' \
  -F 'file=@faktura.pdf;type=application/pdf' \
  -F 'checksumMd5=' \
  -F 'collectionId='

{
  "id": "9f0a31241da04f3b8f5d3d132173d853",
  "collectionId": "86311b539c454e6288d06eda885bee08",
  "name": "faktura.pdf",
  "status": "Queued",
  "progress": 0,
  "numberOfPages": null,
  "createdAt": "2023-06-07T09:52:23Z",
  "updatedAt": "2023-06-07T09:52:23Z",
  "metadata": {}
}

Success!

Once a file is uploaded, data extraction starts automatically. The response contains collection_id needed later to get the results.

See next:

PreviousSetting metadata value NextExport

Last updated 6 months ago