Book Production Pipeline

Extract manuscript content, process illustrations, and generate cover art in a single automated workflow.

Who this is for

Self-publishing platforms and book production teams use this pipeline to automate cover creation. Extract the title and author from a manuscript, then use that data to generate a professional book cover — all in two API calls.

# Step 1: Extract manuscript metadata
EXTRACTION=$(curl -s -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": "manuscript.pdf",
        "url": "https://example.com/manuscripts/draft.pdf"
      }
    ],
    "schema": {
      "fields": [
        { "name": "title", "type": "TEXT", "description": "Book title" },
        { "name": "author", "type": "TEXT", "description": "Author full name" },
        { "name": "subtitle", "type": "TEXT", "description": "Book subtitle" }
      ]
    }
  }')

TITLE=$(echo "$EXTRACTION" | jq -r '.results[0].fields.title')
AUTHOR=$(echo "$EXTRACTION" | jq -r '.results[0].fields.author')

# Step 2: Generate book cover with extracted metadata
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\": 900 },
    \"output_format\": \"png\",
    \"layers\": [
      {
        \"index\": 0,
        \"type\": \"gradient\",
        \"gradient_type\": \"linear\",
        \"angle_in_degrees\": 180.0,
        \"colors\": [
          { \"hex_color\": \"#1B1464\", \"position\": 0.0 },
          { \"hex_color\": \"#6C63FF\", \"position\": 100.0 }
        ],
        \"position\": { \"x\": 0.0, \"y\": 0.0 },
        \"dimensions\": { \"width\": 600, \"height\": 900 }
      },
      {
        \"index\": 1,
        \"type\": \"text\",
        \"text\": \"$TITLE\",
        \"font_name\": \"Playfair Display\",
        \"font_size_in_px\": 52,
        \"text_color\": \"#FFFFFF\",
        \"font_weight\": \"Bold\",
        \"text_align\": \"center\",
        \"position\": { \"x\": 50.0, \"y\": 200.0 },
        \"dimensions\": { \"width\": 500, \"height\": 200 }
      },
      {
        \"index\": 2,
        \"type\": \"text\",
        \"text\": \"$AUTHOR\",
        \"font_name\": \"Inter\",
        \"font_size_in_px\": 24,
        \"text_color\": \"#D4D0FF\",
        \"text_align\": \"center\",
        \"position\": { \"x\": 50.0, \"y\": 750.0 },
        \"dimensions\": { \"width\": 500, \"height\": 40 }
      }
    ]
  }"
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });

// Step 1: Extract manuscript metadata
const extraction = await client.extract({
  files: [
    {
      type: "url",
      name: "manuscript.pdf",
      url: "https://example.com/manuscripts/draft.pdf",
    },
  ],
  schema: {
    fields: [
      { name: "title", type: "TEXT", description: "Book title" },
      { name: "author", type: "TEXT", description: "Author full name" },
      { name: "subtitle", type: "TEXT", description: "Book subtitle" },
    ],
  },
});

const { title, author } = extraction.results[0].fields;

// Step 2: Generate book cover with extracted metadata
const coverResult = await client.generateImage({
  dimensions: { width_in_px: 600, height_in_px: 900 },
  output_format: "png",
  layers: [
    {
      index: 0,
      type: "gradient",
      gradient_type: "linear",
      angle_in_degrees: 180.0,
      colors: [
        { hex_color: "#1B1464", position: 0.0 },
        { hex_color: "#6C63FF", position: 100.0 },
      ],
      position: { x_in_px: 0, y_in_px: 0 },
      dimensions: { width_in_px: 600, height_in_px: 900 },
    },
    {
      index: 1,
      type: "text",
      text: title,
      font_name: "Playfair Display",
      font_size_in_px: 52,
      text_color: "#FFFFFF",
      font_weight: "Bold",
      text_align: "center",
      position: { x_in_px: 50, y_in_px: 200 },
      dimensions: { width_in_px: 500, height_in_px: 200 },
    },
    {
      index: 2,
      type: "text",
      text: author,
      font_name: "Inter",
      font_size_in_px: 24,
      text_color: "#D4D0FF",
      text_align: "center",
      position: { x_in_px: 50, y_in_px: 750 },
      dimensions: { width_in_px: 500, height_in_px: 40 },
    },
  ],
});

await Bun.write("cover.png", Buffer.from(coverResult.data.buffer, "base64"));
import base64

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

# Step 1: Extract manuscript metadata
extraction = client.extract(
    files=[
        {
            "type": "url",
            "name": "manuscript.pdf",
            "url": "https://example.com/manuscripts/draft.pdf",
        }
    ],
    schema={
        "fields": [
            {"name": "title", "type": "TEXT", "description": "Book title"},
            {"name": "author", "type": "TEXT", "description": "Author full name"},
            {"name": "subtitle", "type": "TEXT", "description": "Book subtitle"},
        ]
    },
)

fields = extraction["results"][0]["fields"]
title = fields["title"]
author = fields["author"]

# Step 2: Generate book cover with extracted metadata
cover_result = client.generate_image(
    dimensions={"width_in_px": 600, "height_in_px": 900},
    output_format="png",
    layers=[
        {
            "index": 0,
            "type": "gradient",
            "gradient_type": "linear",
            "angle_in_degrees": 180.0,
            "colors": [
                {"hex_color": "#1B1464", "position": 0.0},
                {"hex_color": "#6C63FF", "position": 100.0},
            ],
            "position": {"x_in_px": 0, "y_in_px": 0},
            "dimensions": {"width_in_px": 600, "height_in_px": 900},
        },
        {
            "index": 1,
            "type": "text",
            "text": title,
            "font_name": "Playfair Display",
            "font_size_in_px": 52,
            "text_color": "#FFFFFF",
            "font_weight": "Bold",
            "text_align": "center",
            "position": {"x_in_px": 50, "y_in_px": 200},
            "dimensions": {"width_in_px": 500, "height_in_px": 200},
        },
        {
            "index": 2,
            "type": "text",
            "text": author,
            "font_name": "Inter",
            "font_size_in_px": 24,
            "text_color": "#D4D0FF",
            "text_align": "center",
            "position": {"x_in_px": 50, "y_in_px": 750},
            "dimensions": {"width_in_px": 500, "height_in_px": 40},
        },
    ],
)

with open("cover.png", "wb") as f:
    f.write(base64.b64decode(cover_result["data"]["buffer"]))
package main

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

client := il.NewClient("YOUR_API_KEY")

// Step 1: Extract manuscript metadata
extraction, err := client.Extract(il.ExtractRequest{
    Files: []il.FileInput{
        il.NewFileFromURL("manuscript.pdf", "https://example.com/manuscripts/draft.pdf"),
    },
    Schema: il.ExtractionSchema{
        "title":    il.NewTextFieldConfig("title", "Book title"),
        "author":   il.NewTextFieldConfig("author", "Author full name"),
        "subtitle": il.NewTextFieldConfig("subtitle", "Book subtitle"),
    },
})

title := extraction.Results[0].Fields["title"]
author := extraction.Results[0].Fields["author"]

// Step 2: Generate book cover with extracted metadata
coverResult, err := client.GenerateImage(il.GenerateImageRequest{
    Dimensions:   il.Dimensions{WidthInPx: 600, HeightInPx: 900},
    OutputFormat: "png",
    Layers: []il.Layer{
        il.NewGradientLayer(0, "linear",
            []il.GradientColor{
                {HexColor: "#1B1464", Position: 0.0},
                {HexColor: "#6C63FF", Position: 100.0},
            },
            il.Position{XInPx: 0, YInPx: 0},
            il.Dimensions{WidthInPx: 600, HeightInPx: 900}),
        il.NewTextLayer(1, title, "Playfair Display", 52, "#FFFFFF",
            il.Position{XInPx: 50, YInPx: 200},
            il.Dimensions{WidthInPx: 500, HeightInPx: 200}),
        il.NewTextLayer(2, author, "Inter", 24, "#D4D0FF",
            il.Position{XInPx: 50, YInPx: 750},
            il.Dimensions{WidthInPx: 500, HeightInPx: 40}),
    },
})

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