Source Files

Source files are files that contain things you want to annotate or run models on. Currently we support PDF and .txt file formats

Retrieve source information

GET https://api.annolab.ai/v1/source/{source_id}

Returns basic source information, including a signed URL to download the original file and its tags.

Query Parameters

Name	Type	Description
source_id*	Int	Id of the source

Headers

Name	Type	Description
Authorization*	String	Your API key {"Authorization": "Api-Key XXXXXXX-XXXXXXX-XXXXXXX"}

200: OK

// Example Response
{
    "id": 2,
    "projectName": "My Project",
    "projectId": 1,
    "directoryName": "Uploads",
    "directoryId": 1,
    "name": "REGISTRATION.pdf",
    "sourceName": "REGISTRATION.pdf",
    "type": "pdf",
    "text": "Example PDF Text",
    "url": "https://download-example-url.pdf",
    "createdAt": "2023-05-22T20:32:02.633Z",
    "tags": [
        {
            "domainEntityId": 1,
            "typeName": "Airframe Inventory",
            "attributes": [
                {
                    "name": "Make",
                    "value": "CESSNA"
                },
                {
                    "name": "Model",
                    "value": "421C"
                },
                {
                    "name": "Serial Number",
                    "value": "421C-5837"
                }
            ],
            "createdBy": {
                "id": 58473,
                "email": "[email protected]",
                "username": "testuser"
            }
        }
    ]
}

Upload a PDF

POST https://api.annolab.ai/v1/source/upload-pdf

Upload a PDF and specify an OCR method to apply. (optional) invoke a workflow of AI models

Headers

Name	Type	Description
Authorization*	String	Where you put your api key. Creating a directory requires a key with "Write" permissions. {"Authorization": "Api-Key XXXXXXX-XXXXXXX-XXXXXXX"}

Request Body

Name	Type	Description
projectIdentifier*	string|number	Either id of the project or name of the project where file will reside
directoryIdentifier	string	name of the directory where the file will reside
sourceIdentifier*	string	Name of the source that will be created
ocrProvider	string	Only used if processMode is set to OCR. Valid values are "textract", "textract_plus", and "gcv". "textract_plus" recommended for highest quality
preprocessor	string	Valid options are "faa" and None.
groupName*	string	Name of the group that owns the project
tags	CanonicalTag[]	Array of CanonicalTag objects
workflow	string	Workflow (aka package of AI models) that will be invoked immediately after upload. Recommend "FAA_CD_WITH_VLM" or "FAA_CD_WITH_TAGGING"
processMode	string	Use "OCR" if the pdf is not already text enriched. Use "EXTRACT" if pdf already has text embedded

Python

import os
import json
import requests

ANNO_LAB_API_KEY = 'XXXXXXX-XXXXXXX-XXXXXXX-XXXXXXX'

url_base = 'https://api.annolab.ai'

input_pdf = '/Users/grantdelozier/devel/ocr-these3/TEST-REGISTRATION.PDF'

headers = {
  'Authorization': 'Api-Key '+ANNO_LAB_API_KEY,
}

url = url_base+'/v1/source/create-pdf'

requestBody = {
  'groupName': 'AnnoLab',
  'projectIdentifier': 'title-demo',
  'directoryIdentifier': 'testing',
  'sourceIdentifier': 'TEST-REGISTRATION.PDF',
  'preprocessor': 'faa',
  'processMode': 'OCR',
  'ocrProvider': 'textract_plus',
  'workflow': 'FAA_CD'
}

fileToUpload = {
  'file': ('TEST-REGISTRATION.PDF', open(input_pdf, 'rb'), 'application/pdf')
}

url = url_base+'/v1/source/upload-pdf'

response = requests.post(url, headers=headers, data=requestBody, files=fileToUpload)
print(response.json())

Create Source Text

POST https://api.annolab.ai/v1/source/create-text

Create a new text file source within a directory.

Headers

Name	Type	Description
Authorization*	string	Where you put your api key. Creating a directory requires a key with "Write" permissions. {"Authorization": "Api-Key XXXXXXX-XXXXXXX-XXXXXXX"}

Request Body

Name	Type	Description
projectIdentifier	string	Identifier for the project that will contain the source file. Either the id or the unique name
directoryIdentifier	string	Identifier for the directory that will contain the source file. Either the id or the unique name
sourceName	string	Name of the file you wish to create
text	string	Text that exists within the file

201 Source text was successfully created

{
    "sourceName": "athens.txt,
    "directoryName": "Wikipedia Subset",
    "directoryId": 12,
    "projectName": "New NER Project",
    "projectId": 22,
    "id": 145
}

This code shows how to create a new text file source

Python

import requests

ANNO_LAB_API_KEY = 'XXXXXXX-XXXXXXX-XXXXXXX-XXXXXXX'

source = {
  'projectIdentifier': 'New NER Project',
  'directoryIdentifier': 'Wikipedia Subset',
  'sourceName': 'athens.txt'
  'text': 'Athens (Greek: Αθήνα, Athína), is the capital city of Greece with a metropolitan population of 3.7 million inhabitants.'
}

headers = {
  'Authorization': 'Api-Key '+ANNO_LAB_API_KEY,
}

url = 'https://api.annolab.ai/v1/source/create-text'

response = requests.post(url, headers=headers, json=source)

print(response.json())