Recraft AI Recraft V4.1 Pro Text To Vector API Documentation
Playground
Try it on WaveSpeedAI!Recraft V4.1 Pro Text to Vector is a fast AI vector generation model that creates premium editable vector images from text prompts. Ready-to-use REST inference API for logos, icons, illustrations, brand assets, scalable graphics, design systems, and professional text-to-vector workflows with simple integration, no coldstarts, and affordable pricing.
Features
Recraft V4.1 Pro Text-to-Vector generates premium editable vector images from natural-language prompts. It is designed for high-quality SVG creation workflows such as logo concepts, brand assets, icons, illustrations, marketing graphics, and other design tasks that benefit from scalable vector output.
Why Choose This?
-
Premium vector generation Create polished editable vector images directly from text prompts.
-
SVG output Generate scalable vector artwork that can be resized without losing quality.
-
Simple prompt-based workflow Turn natural-language descriptions into vector graphics with minimal setup.
-
Preset image sizing Use
image_sizepresets for predictable output framing and composition. -
Production-ready generation Suitable for branding, illustration, marketing, UI assets, and other vector-first creative workflows.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text prompt describing the image you want to generate. |
| image_size | No | Output image size preset. Default: square_hd. |
How to Use
- Write your prompt — describe the subject, style, composition, and visual direction you want.
- Choose image size (optional) — select the preset that best fits your intended layout.
- Submit — run the model and download the generated vector image.
Example Prompt
A clean modern vector illustration of a mountain sunrise logo, geometric shapes, minimal color palette, premium outdoor brand style
Output
Returns one SVG vector image URL in the standard WaveSpeed prediction response.
Pricing
Pricing is a flat rate per image.
| Output | Cost |
|---|---|
| Per image | $0.36 |
Billing Rules
- Each generated vector image costs $0.36
- Pricing is fixed per image
image_sizedoes not affect pricing
Best Use Cases
- Logo concepts — Generate editable vector directions for brand identity work.
- Brand graphics — Create scalable assets for marketing and design systems.
- Illustration — Produce vector-style artwork for commercial or editorial use.
- UI and icon assets — Generate clean scalable graphics for product and interface workflows.
- Marketing materials — Create vector visuals for ads, presentations, and publishing.
Pro Tips
- Be specific in your prompt about style, shape language, and composition.
- Mention terms like minimal, geometric, flat, icon-style, or brand illustration when relevant.
- Use concise but descriptive prompts for more controllable vector outputs.
- Start with the default size preset unless you need a specific layout.
Notes
promptis required.image_sizedefaults tosquare_hd.- The model returns a single SVG vector image per request.
- Pricing is fixed at $0.36 per image.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"image_size": "1:1"
}
JSON
)
# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/recraft-ai/recraft-v4.1-pro/text-to-vector" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}"); then
printf 'Submit failed. %s\n' "${CHECK}" >&2
exit 1
fi
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id. %s\n' "${CHECK}" >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
# Transient errors (429, 5xx) are retried, honoring Retry-After.
HTTP_CODE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
--output "${BODY_FILE}" --write-out '%{http_code}' \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
case "${HTTP_CODE}" in
2??) ;;
000|429|5??) # dropped connection or temporary error: keep polling
printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
sleep 10; continue ;;
*) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
cat "${BODY_FILE}" >&2; exit 1 ;;
esac
RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted)
printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneRetry temporary errors only while polling, never the submit request. Errors, retries and timeouts
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Text prompt for the generated image. | |
| image_size | string | No | 1:1 | 1:1, 16:9, 9:16, 4:3, 3:4 | Output image size preset. |
Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |