Multi Video Merge Serverless API
Merge multiple videos into a single combined output.
POST /v2/multi-video-merge · submit + poll 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
4
5# Async (v2) — recommended for long-running / video models.
6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
7# deadline and keeps the request_id so you can re-poll later.
8client = SegmindClient() # reads SEGMIND_API_KEY
9payload = {
10 "video_urls": ["https://segmind-inference-inputs.s3.amazonaws.com/81d2475e-b9ae-4292-b0db-401b87011e80-output.mp4"],
11 "width": 1920,
12 "height": 1080,
13 "fps": 30,
14 "transition_type": "concat",
15 "transition_duration": 0.5,
16 "maintain_aspect_ratio": True,
17 "audio_handling": "merge",
18}
19job = client.submit_async("multi-video-merge", **payload)
20print(job.request_id) # available immediately
21try:
22 result = job.wait(timeout=900, interval=2.0)
23 print(result["status"]) # COMPLETED
24 print(result.get("output")) # model output (e.g. video URL)
25except InferenceTimeout as e:
26 print("still running:", e.request_id) # re-poll later with this id
27except InferenceFailed as e:
28 print("failed:", e.detail)
29
30# Fast models (<=600s) can use the one-liner instead:
31# result = segmind.run("multi-video-merge", **payload) 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
4
5# Async (v2) — recommended for long-running / video models.
6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
7# deadline and keeps the request_id so you can re-poll later.
8client = SegmindClient() # reads SEGMIND_API_KEY
9payload = {
10 "video_urls": ["https://segmind-inference-inputs.s3.amazonaws.com/81d2475e-b9ae-4292-b0db-401b87011e80-output.mp4"],
11 "width": 1920,
12 "height": 1080,
13 "fps": 30,
14 "transition_type": "concat",
15 "transition_duration": 0.5,
16 "maintain_aspect_ratio": True,
17 "audio_handling": "merge",
18}
19job = client.submit_async("multi-video-merge", **payload)
20print(job.request_id) # available immediately
21try:
22 result = job.wait(timeout=900, interval=2.0)
23 print(result["status"]) # COMPLETED
24 print(result.get("output")) # model output (e.g. video URL)
25except InferenceTimeout as e:
26 print("still running:", e.request_id) # re-poll later with this id
27except InferenceFailed as e:
28 print("failed:", e.detail)
29
30# Fast models (<=600s) can use the one-liner instead:
31# result = segmind.run("multi-video-merge", **payload)API Endpoint
https://api.segmind.com/v1/multi-video-mergeParameters
video_urlsrequiredstring[]Array of videos to merge. Can be either:1. Array of URL strings (order by index)2. Array of objects with video_url and orderMinimum 2, maximum 10 videos
audio_handlingoptionalstringHow to handle audio from multiple videos.
"merge""merge""first""none"fpsoptionalintegerOutput video frame rate (frames per second). If 0 or not specified, uses first video's fps.
0Range: 0 - 120heightoptionalintegerOutput video height in pixels. If 0 or not specified, uses first video's height.
0Range: 0 - 4320maintain_aspect_ratiooptionalbooleanMaintain aspect ratio when resizing videos. If true, adds black padding bars. If false, stretches video to fit dimensions.
truetransition_durationoptionalnumberDuration of fade transition in seconds. Only applies when transition_type is 'fade'.
0.5Range: 0.1 - 2transition_typeoptionalstringType of transition between videos.
"concat""concat""fade""none"widthoptionalintegerOutput video width in pixels. If 0 or not specified, uses first video's width.
0Range: 0 - 7680Response Type
Returns: Video
Asynchronous requests (v2)
Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.
- 1
POST /v2/multi-video-mergeSubmit — returns request_id, status_url, response_url
- 2
GET /v2/requests/{id}/statusPoll — until COMPLETED or FAILED
- 3
GET /v2/requests/{id}Result — final response body
Status states
- A FAILED request is served as HTTP 422 — the body still carries the error detail.
- An unknown or expired request_id returns HTTP 404.
- Results are retained for 1 hour, then expire.
- Content / RAI blocks surface as FAILED, not a separate state.
- Track completion by polling the status endpoint.
Common Error Codes
The API returns standard HTTP status codes. Detailed error messages are provided in the response body.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Model or endpoint not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out