Meshy Convert API Documentation
Playground
Try it on WaveSpeedAI!Meshy Convert converts a 3D model to GLB, OBJ, FBX, STL, USDZ, BLEND or 3MF. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Meshy Convert converts an existing 3D model into a selected file format for editing, viewing, game engines, 3D printing, or other downstream workflows.
Why Choose This?
- Multiple export formats — Convert models to GLB, OBJ, FBX, STL, USDZ, BLEND, or 3MF.
- Simple conversion workflow — Upload a model, select the target format, and convert.
- Broad compatibility — Prepare models for 3D editors, game engines, AR workflows, and 3D printing.
- No geometry settings required — Convert the file format without configuring generation parameters.
Parameters
| Parameter | Required | Description |
|---|---|---|
| model | Yes | Source 3D model in GLB, GLTF, FBX, OBJ, or STL format. |
| format | No | Target output format: glb, obj, fbx, stl, usdz, blend, or 3mf. Default: fbx. |
How to Use
- Upload a model — Provide the source 3D file.
- Choose a format — Select the target format for your workflow.
- Submit — Convert and retrieve the resulting model file.
Pricing
$0.04 per conversion.
The selected output format does not add a separate charge.
Best Use Cases
- Game engines — Convert models to formats such as FBX or GLB for downstream use.
- 3D editing — Export models for Blender or other DCC tools.
- 3D printing — Convert models to STL or 3MF for print preparation.
- AR workflows — Export USDZ for compatible augmented-reality applications.
- Web and sharing — Use GLB for compact, portable 3D assets.
Pro Tips
- Choose
glbwhen you want a compact format that can include textures in a single file. - Use
fbxfor many game-engine and 3D editing workflows. - Use
stlwhen preparing geometry for standard 3D printing. - Use
3mfwhen your downstream printing workflow supports the format. - Use
usdzfor compatible Apple AR workflows.
Notes
- Supported input formats are GLB, GLTF, FBX, OBJ, and STL.
- Available output formats are
glb,obj,fbx,stl,usdz,blend, and3mf. formatdefaults tofbx.- The selected output format should match the requirements of the application or workflow where the model will be used.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"model": "example",
"format": "fbx"
}
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/meshy/convert" \
-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 |
|---|---|---|---|---|---|
| model | string | Yes | - | - | The 3D model to process (GLB, GLTF, FBX, OBJ or STL). |
| format | string | No | fbx | glb, obj, fbx, stl, usdz, blend, 3mf | Target format. |
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 |