Resume-to-Candidate-Card Pipeline

# Step 1: Extract candidate data from resume
curl -X POST https://api.iterationlayer.com/document-extraction/v1/extract \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "files": [
      {
        "type": "url",
        "name": "resume.pdf",
        "url": "https://example.com/resumes/candidate-resume.pdf"
      }
    ],
    "schema": {
      "fields": [
        { "name": "name", "type": "TEXT", "description": "Candidate full name" },
        { "name": "current_role", "type": "TEXT", "description": "Current job title" },
        { "name": "email", "type": "EMAIL", "description": "Contact email address" },
        { "name": "skills", "type": "ARRAY", "description": "Top skills", "fields": [
          { "name": "skill", "type": "TEXT", "description": "Skill name" }
        ]}
      ]
    }
  }'

# The response JSON contains the candidate's name, role, email, and skills.
# Use these values to populate the candidate card in Step 2.

# Step 2: Generate a candidate summary card
curl -X POST https://api.iterationlayer.com/image-generation/v1/generate \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "dimensions": { "width": 600, "height": 400 },
    "output_format": "png",
    "layers": [
      {
        "index": 0,
        "type": "solid-color-background",
        "hex_color": "#F8FAFC"
      },
      {
        "index": 1,
        "type": "rectangle",
        "hex_color": "#4F46E5",
        "position": { "x": 0.0, "y": 0.0 },
        "dimensions": { "width": 600, "height": 120 }
      },
      {
        "index": 2,
        "type": "text",
        "text": "Jane Doe",
        "font_name": "Inter",
        "font_size_in_px": 32,
        "text_color": "#FFFFFF",
        "font_weight": "Bold",
        "position": { "x": 40.0, "y": 25.0 },
        "dimensions": { "width": 520, "height": 40 }
      },
      {
        "index": 3,
        "type": "text",
        "text": "Senior Software Engineer",
        "font_name": "Inter",
        "font_size_in_px": 18,
        "text_color": "#C7D2FE",
        "position": { "x": 40.0, "y": 72.0 },
        "dimensions": { "width": 520, "height": 30 }
      },
      {
        "index": 4,
        "type": "text",
        "text": "Top Skills",
        "font_name": "Inter",
        "font_size_in_px": 16,
        "text_color": "#6B7280",
        "font_weight": "Bold",
        "position": { "x": 40.0, "y": 150.0 },
        "dimensions": { "width": 520, "height": 24 }
      },
      {
        "index": 5,
        "type": "text",
        "text": "TypeScript · React · Node.js · PostgreSQL · AWS",
        "font_name": "Inter",
        "font_size_in_px": 16,
        "text_color": "#374151",
        "position": { "x": 40.0, "y": 185.0 },
        "dimensions": { "width": 520, "height": 60 }
      }
    ]
  }'

import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });

// Step 1: Extract candidate data from resume
const candidateResult = await client.extract({
  files: [
    {
      type: "url",
      name: "resume.pdf",
      url: "https://example.com/resumes/candidate-resume.pdf",
    },
  ],
  schema: {
    fields: [
      { name: "name", type: "TEXT", description: "Candidate full name" },
      { name: "current_role", type: "TEXT", description: "Current job title" },
      { name: "email", type: "EMAIL", description: "Contact email address" },
      { name: "skills", type: "ARRAY", description: "Top skills", fields: [
        { name: "skill", type: "TEXT", description: "Skill name" },
      ]},
    ],
  },
});

const candidate = candidateResult.results[0];
const skillsList = candidate.skills.map((entry: { skill: string }) => entry.skill).join(" · ");

// Step 2: Generate a candidate summary card
const cardResult = await client.generateImage({
  dimensions: { width_in_px: 600, height_in_px: 400 },
  output_format: "png",
  layers: [
    {
      index: 0,
      type: "solid-color-background",
      hex_color: "#F8FAFC",
    },
    {
      index: 1,
      type: "rectangle",
      hex_color: "#4F46E5",
      position: { x_in_px: 0, y_in_px: 0 },
      dimensions: { width_in_px: 600, height_in_px: 120 },
    },
    {
      index: 2,
      type: "text",
      text: candidate.name,
      font_name: "Inter",
      font_size_in_px: 32,
      text_color: "#FFFFFF",
      font_weight: "Bold",
      position: { x_in_px: 40, y_in_px: 25 },
      dimensions: { width_in_px: 520, height_in_px: 40 },
    },
    {
      index: 3,
      type: "text",
      text: candidate.current_role,
      font_name: "Inter",
      font_size_in_px: 18,
      text_color: "#C7D2FE",
      position: { x_in_px: 40, y_in_px: 72 },
      dimensions: { width_in_px: 520, height_in_px: 30 },
    },
    {
      index: 4,
      type: "text",
      text: "Top Skills",
      font_name: "Inter",
      font_size_in_px: 16,
      text_color: "#6B7280",
      font_weight: "Bold",
      position: { x_in_px: 40, y_in_px: 150 },
      dimensions: { width_in_px: 520, height_in_px: 24 },
    },
    {
      index: 5,
      type: "text",
      text: skillsList,
      font_name: "Inter",
      font_size_in_px: 16,
      text_color: "#374151",
      position: { x_in_px: 40, y_in_px: 185 },
      dimensions: { width_in_px: 520, height_in_px: 60 },
    },
  ],
});

const candidateCardBuffer = Buffer.from(cardResult.data.buffer, "base64");

import base64

from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")

# Step 1: Extract candidate data from resume
candidate_result = client.extract(
    files=[
        {
            "type": "url",
            "name": "resume.pdf",
            "url": "https://example.com/resumes/candidate-resume.pdf",
        }
    ],
    schema={
        "fields": [
            {"name": "name", "type": "TEXT", "description": "Candidate full name"},
            {"name": "current_role", "type": "TEXT", "description": "Current job title"},
            {"name": "email", "type": "EMAIL", "description": "Contact email address"},
            {"name": "skills", "type": "ARRAY", "description": "Top skills", "fields": [
                {"name": "skill", "type": "TEXT", "description": "Skill name"},
            ]},
        ]
    },
)

candidate = candidate_result["results"][0]
skills_list = " · ".join(entry["skill"] for entry in candidate["skills"])

# Step 2: Generate a candidate summary card
card_result = client.generate_image(
    dimensions={"width_in_px": 600, "height_in_px": 400},
    output_format="png",
    layers=[
        {
            "index": 0,
            "type": "solid-color-background",
            "hex_color": "#F8FAFC",
        },
        {
            "index": 1,
            "type": "rectangle",
            "hex_color": "#4F46E5",
            "position": {"x_in_px": 0, "y_in_px": 0},
            "dimensions": {"width_in_px": 600, "height_in_px": 120},
        },
        {
            "index": 2,
            "type": "text",
            "text": candidate["name"],
            "font_name": "Inter",
            "font_size_in_px": 32,
            "text_color": "#FFFFFF",
            "font_weight": "Bold",
            "position": {"x_in_px": 40, "y_in_px": 25},
            "dimensions": {"width_in_px": 520, "height_in_px": 40},
        },
        {
            "index": 3,
            "type": "text",
            "text": candidate["current_role"],
            "font_name": "Inter",
            "font_size_in_px": 18,
            "text_color": "#C7D2FE",
            "position": {"x_in_px": 40, "y_in_px": 72},
            "dimensions": {"width_in_px": 520, "height_in_px": 30},
        },
        {
            "index": 4,
            "type": "text",
            "text": "Top Skills",
            "font_name": "Inter",
            "font_size_in_px": 16,
            "text_color": "#6B7280",
            "font_weight": "Bold",
            "position": {"x_in_px": 40, "y_in_px": 150},
            "dimensions": {"width_in_px": 520, "height_in_px": 24},
        },
        {
            "index": 5,
            "type": "text",
            "text": skills_list,
            "font_name": "Inter",
            "font_size_in_px": 16,
            "text_color": "#374151",
            "position": {"x_in_px": 40, "y_in_px": 185},
            "dimensions": {"width_in_px": 520, "height_in_px": 60},
        },
    ],
)

with open("candidate-card.png", "wb") as f:
    f.write(base64.b64decode(card_result["data"]["buffer"]))

package main

import il "github.com/iterationlayer/sdk-go"

client := il.NewClient("YOUR_API_KEY")

// Step 1: Extract candidate data from resume
candidateResult, err := client.Extract(il.ExtractRequest{
    Files: []il.FileInput{
        il.NewFileFromURL("resume.pdf", "https://example.com/resumes/candidate-resume.pdf"),
    },
    Schema: il.ExtractionSchema{
        "name":         il.NewTextFieldConfig("name", "Candidate full name"),
        "current_role": il.NewTextFieldConfig("current_role", "Current job title"),
        "email":        il.NewEmailFieldConfig("email", "Contact email address"),
        "skills": il.NewArrayFieldConfig("skills", "Top skills", []il.FieldConfig{
            il.NewTextFieldConfig("skill", "Skill name"),
        }),
    },
})

// Step 2: Generate a candidate summary card
cardResult, err := client.GenerateImage(il.GenerateImageRequest{
    Dimensions:   il.Dimensions{WidthInPx: 600, HeightInPx: 400},
    OutputFormat: "png",
    Layers: []il.Layer{
        il.NewSolidColorBackgroundLayer(0, "#F8FAFC"),
        il.NewRectangleLayer(1, "#4F46E5",
            il.Position{XInPx: 0, YInPx: 0},
            il.Dimensions{WidthInPx: 600, HeightInPx: 120}),
        il.NewTextLayer(2, "Jane Doe", "Inter", 32, "#FFFFFF",
            il.Position{XInPx: 40, YInPx: 25},
            il.Dimensions{WidthInPx: 520, HeightInPx: 40}),
        il.NewTextLayer(3, "Senior Software Engineer", "Inter", 18, "#C7D2FE",
            il.Position{XInPx: 40, YInPx: 72},
            il.Dimensions{WidthInPx: 520, HeightInPx: 30}),
        il.NewTextLayer(4, "Top Skills", "Inter", 16, "#6B7280",
            il.Position{XInPx: 40, YInPx: 150},
            il.Dimensions{WidthInPx: 520, HeightInPx: 24}),
        il.NewTextLayer(5, "TypeScript \u00b7 React \u00b7 Node.js \u00b7 PostgreSQL \u00b7 AWS", "Inter", 16, "#374151",
            il.Position{XInPx: 40, YInPx: 185},
            il.Dimensions{WidthInPx: 520, HeightInPx: 60}),
    },
})