There are two different ways to generate an image with code: draw a predictable composition (pixels, text, shapes and existing assets), or send a prompt and optional input images to a generative model. Use Pillow, Canvas or ImageMagick when exact geometry and repeatability matter; use an image API when you need semantic synthesis or an AI-guided edit. The sections below show both workflows, with runnable examples and the operational issues that commonly break them.
Choose the right image-generation workflow
| What you need | Good starting point | Why |
|---|---|---|
| Text, shapes, overlays or compositing in Python | Pillow ImageDraw |
Draws directly on an image and supports transparent layers and alpha compositing. |
| Drawing or composing in a web page | HTML Canvas 2D | drawImage() accepts images and programmatically created sources. |
| Batch conversion, resizing or command-line drawing | ImageMagick | The magick command converts, transforms and draws, including SVG/MVG workflows. |
| A new scene from a natural-language prompt, or an AI-guided edit | A hosted image API | The provider supplies a model that synthesizes pixels from text and image inputs. |
Before choosing, decide whether you need deterministic layout, which runtime and language you have, whether semantic synthesis is required, the input/output formats (including transparency), and what limits your provider or deployment imposes. The available documentation does not establish that one approach is universally faster, cheaper or higher quality.
Generate a deterministic image in Python with Pillow
Pillow modifies an image through an ImageDraw.Draw context. This is ideal for certificates, thumbnails, charts, social cards and any design whose coordinates should be identical on every run.
Install and run a complete example
python -m pip install pillowfrom PIL import Image, ImageDraw, ImageFont
WIDTH, HEIGHT = 1200, 630
base = Image.new("RGBA", (WIDTH, HEIGHT), (20, 28, 48, 255))
draw = ImageDraw.Draw(base)
# Background shapes
draw.rounded_rectangle((60, 60, WIDTH - 60, HEIGHT - 60), radius=32,
fill=(35, 48, 78, 255), outline=(90, 180, 255, 255), width=4)
draw.ellipse((820, 100, 1120, 400), fill=(255, 170, 80, 220))
# A transparent overlay is useful for effects or separately composited artwork
overlay = Image.new("RGBA", base.size, (0, 0, 0, 0))
overlay_draw = ImageDraw.Draw(overlay)
overlay_draw.rectangle((0, 500, WIDTH, HEIGHT), fill=(0, 0, 0, 90))
base = Image.alpha_composite(base, overlay)
draw = ImageDraw.Draw(base)
# Use a known TrueType font path in production for consistent metrics.
try:
font = ImageFont.truetype("DejaVuSans-Bold.ttf", 64)
small = ImageFont.truetype("DejaVuSans.ttf", 30)
except OSError:
font = ImageFont.load_default()
small = font
draw.text((110, 150), "Generated by code", font=font, fill="white")
draw.text((110, 530), "Repeatable pixels, predictable output", font=small,
fill=(220, 230, 245, 255))
base.convert("RGB").save("python-card.webp", "WEBP", quality=90)The drawing context changes its target in place. For overlays, draw on a separate RGBA image and alpha-composite it over the base. Font availability is a deployment concern: TrueType loading depends on the font file and the Pillow build, so package a licensed font and use an absolute or configured path when output must match across machines. Save as PNG for lossless or transparent output; JPEG does not preserve an alpha channel; WebP can be lossy or lossless depending on encoder settings.
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Make layout data-driven
Keep colors, margins, font sizes and content in a configuration object, then calculate positions from the canvas dimensions rather than hard-coding every coordinate. Measure text with draw.textbbox() before centering, wrap long strings, and render at a larger working resolution before downsampling when small text looks jagged. Validate user-supplied text and paths so a batch job cannot overwrite arbitrary files.
Generate browser images with Canvas
Canvas is the natural choice when the output is already in a browser: diagrams, editors, previews and client-side exports. drawImage() can draw an image, video, canvas or other permitted source.
<canvas id="card" width="1200" height="630"></canvas>
<button id="save">Download PNG</button>
<script>
const canvas = document.querySelector('#card');
const ctx = canvas.getContext('2d');
ctx.fillStyle = '#141c30';
ctx.fillRect(0, 0, canvas.width, canvas.height);
ctx.fillStyle = '#23304e';
ctx.roundRect(60, 60, 1080, 510, 32, 32);
ctx.fill();
ctx.fillStyle = '#ffffff';
ctx.font = 'bold 64px system-ui';
ctx.fillText('Generated in Canvas', 110, 220);
const image = new Image();
image.onload = () => {
ctx.drawImage(image, 820, 100, 260, 260);
};
image.src = '/assets/logo.png';
document.querySelector('#save').addEventListener('click', () => {
const link = document.createElement('a');
link.download = 'canvas-card.png';
link.href = canvas.toDataURL('image/png');
link.click();
});
</script>For remote images, set crossOrigin before src and configure the image server's CORS headers. Without an allowed CORS response, the canvas becomes tainted and export methods such as toDataURL() fail. This is a browser security rule, not a problem with the drawImage() syntax. Wait for onload before drawing, and handle onerror so a missing asset does not silently produce an incomplete card. Use toBlob() for large files to avoid holding a long base64 string in memory.
Use ImageMagick for scripts and batch jobs
ImageMagick's magick command is useful when a shell pipeline must create, resize, crop, convert or annotate many files. Operations are applied in command order.
# Create a canvas, draw a background and text, and write PNG
magick -size 1200x630 canvas:'#141c30'
-fill '#23304e' -draw 'roundrectangle 60,60 1140,570 32,32'
-fill white -pointsize 64 -gravity NorthWest
-annotate +110+150 'Generated by ImageMagick' output.png
# Resize a directory of images (write to a separate directory)
mkdir -p thumbs
magick mogrify -path thumbs -thumbnail '800x800>' *.jpgFor more complex vector artwork, generate SVG and let ImageMagick render it, or use its MVG drawing language for small command-line compositions. The ImageMagick documentation recommends SVG rather than hand-authoring MVG for sufficiently complex graphics. Quote shell arguments carefully, especially text containing spaces, parentheses or user input. Pin the ImageMagick version in CI and inspect exit codes; a successful command can still produce an unexpected format if the output extension or delegate support is missing.
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Generate or edit an image with a hosted AI API
Use an image API when a prompt such as “a watercolor map of…” should determine the scene, or when an input image needs semantic editing. OpenAI's documentation says the Image API is the best choice for a single generation or edit request; a Responses API image tool is intended for conversational, multi-step experiences. Google documents Gemini API examples in Python and JavaScript that return image data which can be decoded and written to PNG.
OpenAI-style Python request
Keep the key in an environment variable. Model names, supported sizes and output controls change, so select a currently eligible image model and settings from the provider's reference before deploying.
import os, base64
from openai import OpenAI
client = OpenAI(api_key=os.environ['OPENAI_API_KEY'])
result = client.images.generate(
model='gpt-image-1', # confirm the current model identifier and access
prompt='A clean isometric illustration of a developer pipeline, blue and amber, no text',
size='1024x1024',
quality='auto',
)
image_bytes = base64.b64decode(result.data[0].b64_json)
with open('generated.png', 'wb') as f:
f.write(image_bytes)
The documented controls include size, quality, format, compression and background, but exact combinations are model-specific. PNG is the documented default; JPEG or WebP are available for supported GPT Image models, and transparent backgrounds require PNG or WebP. Treat commonly recommended square, landscape and portrait dimensions as provider settings, not universal rules. Handle rate limits, timeouts, malformed responses and content-policy errors, and never log the API key or untrusted prompt data.
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Provider-neutral integration pattern
- Read credentials from a secret manager or environment variable.
- Send the prompt and optional image inputs to the provider's current generation or edit endpoint.
- Check the HTTP status and response schema before decoding bytes or base64.
- Write to a temporary file, validate the MIME type and dimensions, then atomically rename it into place.
- Record the model, requested settings and your own job identifier so a result can be reproduced when the provider permits it.
Google's Python and JavaScript samples follow the same pattern: call the Gemini API, locate the returned image part, decode it and write a PNG. Use the current Google SDK setup and model identifier from its documentation rather than copying an outdated endpoint.
Reliability, performance and cost decisions
Deterministic pipelines
- Reuse a drawing surface and fonts for batches, but do not share mutable image objects between concurrent jobs without isolation.
- Prefer PNG for diagrams, text and transparency; choose JPEG or WebP when a smaller photographic file is more important.
- Limit dimensions and decoded pixel counts for untrusted uploads to avoid memory-exhaustion attacks.
- Cache assets and use content hashes for repeatable builds. Store intermediate files outside the web root until validation completes.
Hosted generation
- Expect variable latency and transient failures; use bounded retries with exponential backoff and an idempotency strategy where the provider supports one.
- Set explicit request timeouts, queue long jobs and expose progress rather than keeping a browser request open indefinitely.
- Budget for provider usage according to the current account and model terms. The supplied technical documentation contains no comparative prices or performance benchmark.
- Review eligibility, image-input limits, dimensions, background support and retention/privacy terms before accepting user content.
Troubleshooting common failures
“Font not found” or changed text wrapping
Install and package the same font file, pass its absolute path, and measure text with the actual loaded font. Do not rely on a desktop font that is absent in a container.
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Canvas export throws a security error
The canvas is tainted by a cross-origin image. Serve the asset with an appropriate CORS header, set crossOrigin before assigning src, or proxy the asset through a server you control.
ImageMagick says a delegate or coder is missing
Your build lacks support for that format or SVG renderer. Check magick -version, install the required delegate in the runtime image, and choose a format supported by the deployed build.
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Log status and a redacted response shape, not secrets. Verify the model is enabled for the account, inspect returned parts for image data, and confirm that requested size, format, background and input images are supported together.
The result is blank or partially drawn
In Canvas, wait for image load events. In Pillow and ImageMagick, check that source paths exist and inspect command exit codes. For APIs, write the response to a temporary file and validate its magic bytes before publishing it.
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Python
import requests
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r.raise_for_status()
open("shot.webp", "wb").write(r.content)
Node.js
const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);
if (!res.ok) throw new Error(`Screenshot failed: ${res.status}`);
const fs = await import('node:fs/promises');
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FAQ
Can code generate an image without AI?
Yes. Pillow, Canvas and ImageMagick construct pixels deterministically from drawing commands and existing assets.
Which method preserves transparency?
Use RGBA in Pillow or Canvas and export PNG or a supported WebP configuration. JPEG has no alpha channel.
Should I use an image API for a chart?
Usually not. A deterministic drawing library gives exact labels and repeatable geometry; use an AI API when you need synthesis or semantic editing.
Why do generated dimensions vary by provider?
Image models impose their own size and format limits. Check the current model reference rather than assuming dimensions accepted by another provider will work.
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Frequently Asked Questions
Can code generate an image without AI?
Yes. Pillow, Canvas and ImageMagick construct pixels deterministically from drawing commands and existing assets.
Which method preserves transparency?
Use RGBA in Pillow or Canvas and export PNG or a supported WebP configuration. JPEG has no alpha channel.
Should I use an image API for a chart?
Usually not. A deterministic drawing library gives exact labels and repeatable geometry; use an AI API when you need synthesis or semantic editing.
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Why do generated dimensions vary by provider?
Image models impose their own size and format limits. Check the current model reference rather than assuming dimensions accepted by another provider will work.
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