Macro slow-motion shot of a raindrop falling onto a mossy forest floor, ripples expanding in a tiny puddle, spore dust drifting in a shaft of soft light, ultra detailed, nature documentary style
Kling 3.0 Turbo Standard Text to Video API
kwaivgi/kling-v3-turbo-std/text-to-videoKling 3.0 Turbo Standard Text to Video turns text prompts into 3–15 second 720p video with high-throughput generation, native lip-synced multilingual audio, and multi_prompt storyboarding for 1–6 shots. It keeps character appearance and scene continuity across cuts while aligning motion with dialogue and ambient sound. With multi_prompt, omitting top-level duration also allows shot totals of 1–2 seconds.
Your generated video will appear here
Add your prompt and required media, review the settings, then click Run.
Examples
REST API
Quick Start
Authenticate with the API, submit the prompt and settings, then retrieve the video using the task ID.
Connect to the Vidgo API
Create an API key, keep it only on your server, and send Authorization: Bearer VIDGO_API_KEY.
- Endpoint
- POST
https://api.vidgo.ai/api/generate/submit - Authentication
- Authorization: Bearer VIDGO_API_KEY
Submit one generation task
Fill in the parameters for this endpoint using the request example, then save the returned task_id to query progress and results.
REQUEST_BODY=$(cat <<'JSON'
{
"model": "kwaivgi/kling-v3-turbo-std/text-to-video",
"input": {
"prompt": "Macro slow-motion shot of a raindrop falling onto a mossy forest floor, ripples expanding in a tiny puddle, spore dust drifting in a shaft of soft light, ultra detailed, nature documentary style",
"duration": 5,
"aspect_ratio": "16:9"
}
}
JSON
)
RESPONSE=$(curl --silent --show-error --fail-with-body \
--request POST \
--url "https://api.vidgo.ai/api/generate/submit" \
--header "Authorization: Bearer $VIDGO_API_KEY" \
--header "Content-Type: application/json" \
--data "$REQUEST_BODY")
CODE=$(printf '%s' "$RESPONSE" | jq -r '.code // empty')
if [ "$CODE" != "0" ] && [ "$CODE" != "200" ]; then
printf 'API error: %s
' "$RESPONSE" >&2
exit 1
fi
printf '%s
' "$RESPONSE"Wait for the result
Query with task_id, continue for not_started/running, and stop for finished/failed. On success, read data.files[].file_url.
Track status
GET https://api.vidgo.ai/api/generate/status/{task_id}Poll status with a 2-second base interval, and increase the interval for longer tasks. Continue only while status is not_started or running, and stop once finished or failed. You can also specify callback_url in the request payload to receive webhook notifications.
not_startedrunningfinishedfailed{
"code": 200,
"data": {
"task_id": "task-unified-...",
"status": "running",
"created_time": "2026-09-16T10:00:00Z"
}
}{
"code": 200,
"data": {
"task_id": "task-unified-...",
"status": "finished",
"files": [
{
"file_url": "https://storage.vidgo.ai/generated/video.mp4",
"file_type": "video"
}
],
"created_time": "2026-08-22T10:00:00Z",
"progress": 100,
"error_message": null
}
}Complete runnable example
Expand for a complete script with HTTP and business-code checks, task_id validation, polling, terminal-state handling, and a timeout boundary.
set -euo pipefail
: "${VIDGO_API_KEY:?Set VIDGO_API_KEY in your environment}"
REQUEST_BODY=$(cat <<'JSON'
{
"model": "kwaivgi/kling-v3-turbo-std/text-to-video",
"input": {
"prompt": "Macro slow-motion shot of a raindrop falling onto a mossy forest floor, ripples expanding in a tiny puddle, spore dust drifting in a shaft of soft light, ultra detailed, nature documentary style",
"duration": 5,
"aspect_ratio": "16:9"
}
}
JSON
)
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
--request POST \
--url "https://api.vidgo.ai/api/generate/submit" \
--header "Authorization: Bearer $VIDGO_API_KEY" \
--header "Content-Type: application/json" \
--data "$REQUEST_BODY")
TASK_ID=$(printf '%s' "$SUBMIT_RESPONSE" | jq -r '.data.task_id // .task_id // empty')
BUSINESS_CODE=$(printf '%s' "$SUBMIT_RESPONSE" | jq -r '.code // empty')
if [ "$BUSINESS_CODE" != "0" ] && [ "$BUSINESS_CODE" != "200" ]; then
printf 'Submit failed:
%s
' "$SUBMIT_RESPONSE" >&2
exit 1
fi
if [ -z "$TASK_ID" ]; then
printf 'Submit response did not include task_id:
%s
' "$SUBMIT_RESPONSE" >&2
exit 1
fi
START_TIME=$(date +%s)
POLL_DELAY=2
while true; do
if [ $(( $(date +%s) - START_TIME )) -ge 600 ]; then
printf 'Timed out after 600 seconds
' >&2
exit 1
fi
STATUS_RESPONSE=$(curl --silent --show-error --fail-with-body \
--url "https://api.vidgo.ai/api/generate/status/$TASK_ID" \
--header "Authorization: Bearer $VIDGO_API_KEY")
STATUS=$(printf '%s' "$STATUS_RESPONSE" | jq -r '.data.status // .status // empty')
BUSINESS_CODE=$(printf '%s' "$STATUS_RESPONSE" | jq -r '.code // empty')
if [ "$BUSINESS_CODE" != "0" ] && [ "$BUSINESS_CODE" != "200" ]; then
printf 'Status request failed:
%s
' "$STATUS_RESPONSE" >&2
exit 1
fi
case "$STATUS" in
finished)
printf '%s' "$STATUS_RESPONSE" | jq -r '(.data.files // .files // [])[]?.file_url'
break
;;
failed)
printf '%s' "$STATUS_RESPONSE" | jq -r '.data.error_message // .error_message // "Generation failed"' >&2
exit 1
;;
not_started|running)
sleep "$POLL_DELAY"
if [ "$POLL_DELAY" -lt 10 ]; then POLL_DELAY=$((POLL_DELAY + 1)); fi
;;
*)
printf 'Unexpected task status: %s
' "$STATUS" >&2
exit 1
;;
esac
doneInput parameters
The table lists available input parameters, types, and defaults. Request examples also include the required top-level model field.
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
| prompt | string | No | — | 1–2500 characters. Mutually exclusive with multi_prompt. |
| duration | integer | No | Shot total / 5 | An explicit duration must be 3–15 seconds and equal the shot total when multi_prompt is set. Omit it to use the shot total (1–15 seconds); without multi_prompt it defaults to 5 seconds. |
| aspect_ratio | string | No | 16:9 | Framing: 16:9, 9:16, or 1:1. |
| multi_prompt | array | No | — | 1–6 shots, each with a nonblank prompt and optional duration of 1–15 seconds (default 5). Total duration must not exceed 15 seconds. Mutually exclusive with a nonblank prompt. |
| multi_prompt[].prompt | string | Yes (if multi_prompt is set) | — | Shot prompt, max 2500 characters. |
| multi_prompt[].duration | integer | No | 5 | Shot duration from 1 to 15 seconds. |
Response Fields
A successful submission returns a task ID. Status queries provide progress, output files, and error details when a task fails.
| Field | Type | Description |
|---|---|---|
| code | integer | Application result code; successful responses use 0 or 200. |
| message | string | Human-readable message or error detail when present. |
| data.task_id | string | Task ID used in the status endpoint path. |
| data.status | string | not_started, running, finished, or failed. |
| data.created_time | string | Task creation time in date-time format. |
| data.progress | integer | Task progress from 0 to 100, when included in the response. |
| data.files[] | array | All output files from a successful task, in response order. |
| data.files[].file_url | string | Public URL for a generated video. |
| data.files[].file_type | string | File type, such as video. |
| data.error_message | string | null | Failure detail when status is failed. |
Task Lifecycle
Continue querying while the status is not_started or running. End polling at finished or failed, then process the output files or error details respectively.
not_startedThe task was accepted and is waiting to begin.
runningGeneration is in progress. Continue polling the same task_id.
finishedGeneration succeeded. Read every video URL from data.files[].file_url.
failedGeneration stopped with an error. Read data.error_message and stop polling.
Polling and Errors
- AuthenticationFor a 401 response, check the Bearer API key in Authorization, update the credentials, and retry.
- ValidationFor a 400 response, use the response details to check required fields, parameter ranges, and available credits, then adjust and resubmit.
- Network and timeoutIf a status query encounters a network error or timeout, retain the original task_id and retry the query, then handle the result according to the returned task status.
- Polling intervalPoll status with a 2-second base interval, and gradually increase the interval for longer tasks.
- Terminal statesContinue only for not_started or running. Stop immediately on finished or failed.
- Callback optionProvide callback_url at the request top level to receive the final flat task object; polling remains available if delivery fails.
Endpoint limits
| Specification | Value | Details |
|---|---|---|
| Input mode | Text prompt | Natural language instructions for scene and motion. |
| Output | Video | Returns an asynchronous task ID. |
| Duration | 3–15 seconds | Integer range, default 5 seconds. |
| Resolution | 720p | Fixed by the Standard tier; not a request field. |
| Aspect ratio | 16:9 / 9:16 / 1:1 | Default is 16:9. |
| Billing basis | Output seconds × 17 credits/sec | Default 5s is 85 credits ($0.425). |
Related Models
Kling 3.0 Turbo Standard Text to Video API frequently asked questions
What is the Kling 3.0 Turbo Standard Text to Video API?
Kling 3.0 Turbo Standard Text to Video is a Kuaishou Kling AI model for generating video from text prompts. It creates 720p clips with high-throughput generation, native lip-synced multilingual audio, and multi_prompt storyboarding for up to 6 shots. Built on the Kling 3.0 Turbo high-speed generation stack, it follows prompt narrative and camera direction while keeping character appearance, scene continuity, and audiovisual alignment across cuts. You can call it programmatically or try it from the playground above. Without multi_prompt, duration is 3–15 seconds. With multi_prompt, omitting top-level duration also allows a shot total of 1 or 2 seconds.
How does Kling 3.0 Turbo Standard Text to Video use multi_prompt?
multi_prompt accepts 1–6 shots. Each shot needs a nonblank prompt and an optional integer duration of 1–15 seconds, defaulting to 5. The sum must not exceed 15 seconds. Omit top-level duration to use that sum, including totals of 1 or 2 seconds. If supplied, top-level duration must be an integer from 3 to 15 and equal the sum. multi_prompt cannot be combined with a nonblank top-level prompt. Edit storyboards in JSON mode; switching to the form keeps JSON mode and all shot settings.
How long can Kling 3.0 Turbo Standard Text to Video generate?
Without multi_prompt, duration is an integer from 3 to 15 seconds and defaults to 5. With multi_prompt, each shot defaults to 5 seconds and the sum must not exceed 15. Omit top-level duration to use the sum, including totals of 1 or 2 seconds; an explicit top-level duration must be 3–15 and equal that sum.
Does Kling 3.0 Turbo Standard Text to Video generate native audio?
Yes. Native audio is generated with the picture, with lip sync aligned to multilingual speech plus matching ambience and action cues. Add dialogue language, tone, or environmental sound directions in the prompt to guide the soundtrack; there is no separate sound toggle field.
Which aspect ratios does Kling 3.0 Turbo Standard Text to Video support?
It supports 16:9, 9:16, and 1:1, with 16:9 preselected in the Playground. Use 16:9 for landscape storytelling, 9:16 for vertical shorts, and 1:1 for square layouts; full options are listed in the Parameters section.
How does Kling 3.0 Turbo Standard Text to Video differ from Pro?
Standard is fixed at 720p and billed at 17 credits per second—best for high-throughput drafts and batch iteration. The sibling Pro Text to Video tier is fixed at 1080p for sharper finals. Both support native audiovisual sync and multi_prompt storyboarding, with 3–15 second durations or shot totals of 1–2 seconds when top-level duration is omitted; choose by clarity needs versus cost.
How is Kling 3.0 Turbo Standard Text to Video billed per second?
Billing is by output seconds at 17 credits/sec for 720p ($0.085/sec), where 1 credit = $0.005. A default 5-second run costs 85 credits ($0.425); longer clips cost more—see the Pricing section for the exact rate.















