OpenAI uses gpt-image-2 as the model name in its image-generation docs for the GPT Image workflow.

Is ChatGPT Images 2.0 the same thing as gpt-image-2?

ChatGPT Images 2.0 is the release and product naming that OpenAI uses publicly, while gpt-image-2 is the model name referenced in current OpenAI image-generation docs.

What kinds of gpt-image-2 images convert best to SVG?

OpenAI-generated logos, icons, stickers, diagrams, and bold illustrations usually vectorize more cleanly than photorealistic scenes or painterly compositions with soft gradients.

How should I prompt gpt-image-2 for cleaner SVG output?

Ask for flat colors, clear silhouettes, centered composition, bold outlines, minimal texture, no background, and limited small text when the final goal is a cleaner SVG.

Why can gpt-image-2 images with text or texture still need cleanup?

Even when the source image has strong text rendering or rich detail, vectorization still turns pixels into paths. Fine lettering, shading, and texture can create heavy SVG output that benefits from smoothing or manual cleanup.

Do I need a server upload for the free vectorization step?

No. The free vectorization workflow runs in the browser. Starter and Pro add server-side background removal and batch features.

AI logo to editable SVG

Turn AI logo concepts into editable SVGs

Upload an AI-generated or client-provided logo concept and export an SVG designers can actually edit, with proof signals for fewer cleanup passes after tracing.

Single image

Converting to SVG...

PNG/JPG. 10 MB max.

Browser-side SVG tracing
Cleanup signals before export

Need an AI image first?

Generate a concept, then come back here to trace it into SVG.

Open AI Image Generator Try Logo & Icon Studio

AI logo to editable SVG

What makes cleanup easier

Convert raster logos into SVGs you can inspect, tune, and hand off.

Upload a logo concept

Built for final manual touches

Export paths a designer can still adjust.

Proof before handoff

See cleanup signals before export.

Less generic tracing guesswork

Tune the trace instead of accepting a black box.

Path structure

Editable curves

Node count

Cleanup proxy

File weight

Lean export

Color layers

Handoff clarity

Before / after validation

Looks good as a PNG. Painful as a trace.

Spot cleanup risk before you export.

Try it with your logo concept

Generic trace pain

Fuzzy raster edges

Fuzzy raster edges become jagged outlines
Too many anchor points to clean by hand
Flattened colors make recoloring slower

Editable SVG workflow

Proof signals before handoff

Tune logo-friendly controls
Check cleanup signals
Export for final edits

Trace goal: Looks closeEdits cleanly
Cleanup signal: HiddenVisible metrics
Handoff: GuessworkInspectable SVG

Bulk vectorizing

Starter + Pro

Upload up to 10 images at once. Single-image conversion stays free.

Local mode: images stay in your browser.

Sample vector result

Demo result

Conversion in progress

Vectorizing

Original

SVG

Vectorizing...

Vectorization Settings

Full color • Curved • Detail 4 • Color 6

Active setup

Custom

Manual

Original bgFull colorSmooth curves

Applies to new uploads. Existing results keep the settings used when they were converted.

AI Background RemovalStarter + Pro

Best for isolated logos, stickers, and subjects.

High Fidelity Mode

Keeps more nuance before manual refinement.

Plans

Credit packs: one-time top-ups.

Start here

Free

$0Forever

Billing$0

CreditsNone

Best forOne-off SVGs

Single-image PNG/JPG upload
Browser-based WebAssembly tracing
Adjustable vector settings
Local SVG export

Best value

Starter License

$6one-time

BillingPay once

Monthly feesNo monthly

Best forCleanup + batches

Everything in Free
Background removal
10-image batches
Saved cleanup presets
Priority support

Recommended

VectorFast Pro

$15per month

Save $48/year

Annual

Price$180/year

Credits12,000 annual credits up front

Best forAnnual production

Everything in Starter
12,000 annual credits up front
Save $48 vs monthly
AI generation
Cloud cleanup
Premium exports

Limits

Text-heavy, photorealistic, or gradient-rich gpt-image-2 outputs can produce dense SVG paths.
Fine lettering and tiny decorative details often benefit from post-export cleanup in a vector editor.

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