Transform data (unstrcutured/structured) into the schema of your choice with 3 simple fields:

  1. input_type
  2. schema_id or JSON schema
  3. file_url or input_content (JSON or text)

Example to transform a PDF:

import requests

url = "https://api.atlos.dev/transformations"

payload = {
    "input_type": "pdf",
    "file_url": "https://example.com/resume.pdf",
    "schema": {
      "type": "object",
      "properties": {
        "name": {
          "type": "string",
          "description": "Full name of the person"
        },
        "current_title": {
          "type": "string",
          "description": "Current job title"
        }
      },
      "required": ["name", "current_title"]
    }
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.request("POST", url, json=payload, headers=headers)

print(response.text)

​
Example: Extracting data from a Resume

Request:

{
  "file_url": "https://www.atlos.dev/resume.png",
  "schema": {
    "type": "object",
    "properties": {
      "applicant": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string",
            "description": "Full name of the person"
          },
          "title": {
            "type": "string",
            "description": "Job title or specialization"
          }
        },
        "required": ["name", "title"]
      },
      "work_experience": {
        "type": "array",
        "items": {
          "type": "object",
          "properties": {
            "title": {
              "type": "string",
              "description": "Job title"
            },
            "company": {
              "type": "string",
              "description": "Company name"
            },
            "location": {
              "type": "string",
              "description": "Location of the company"
            },
            "start_date": {
              "type": "string",
              "description": "Start date of employment"
            },
            "end_date": {
              "type": "string",
              "description": "End date of employment"
            },
            "description": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "List of responsibilities and achievements"
            }
          }
        }
      },
      "skills": {
        "type": "array",
        "items": {
          "type": "string",
          "description": "List of skills"
        }
      },
      "languages": {
        "type": "array",
        "items": {
          "type": "string",
          "description": "List of languages"
        }
      }
    }
  }
}

Response:

{
  "status": "success",
  "message": "schema extracted successfully",
  "data": {
    "output": {
      "applicant": {
        "name": "TONY STARK",
        "title": "TECH SPECIALIST"
      },
      "work_experience": [
        {
          "title": "CEO",
          "company": "Stark Industries, Los Angeles",
          "location": "Los Angeles",
          "start_date": "Jan 2000",
          "end_date": "Dec 2020",
          "description": [
            "Led the company to become a global leader in tech industry.",
            "Pioneered in creating advanced weapon systems."
          ]
        }
      ],
      "skills": [
        "Artificial Intelligence",
        "Robotics",
        "Leadership",
        "Innovation"
      ],
      "languages": ["English", "French"]
    }
  }
}