Batch Convert SDR to HDR

Why this matters

A 50-episode drama is not 50 conversions you babysit — it is one queue. Batch workflows need queueing, retries, and per-file status, not a loop that crashes at episode 12.

The mlslabs API accepts a folder prefix and renders each matching file as an independent job with its own URL and status.

How it works

Point the API at a folder or manifest, choose the preset, and poll the batch endpoint. Each file becomes a job; failures are isolated and retried.

Submit a job with an input URL (S3, GCS or HTTPS), poll the job URL, and download the rendered output. No GPU, no queues, no ffmpeg builds to babysit.

Code

import requests, time

API = "https://api.mlslabs.io/v1/sdr2hdr/jobs"
headers = {"X-API-Key": "YOUR_API_KEY"}
payload = {"input": "s3://bucket/season1/", "preset": "cinema", "pattern": "*.mp4"}

resp = requests.post(API, json=payload, headers=headers)
job = resp.json()
while job["status"] not in ("succeeded", "failed"):
    time.sleep(3)
    job = requests.get(job["url"], headers=headers).json()

print("Output:", job["output_url"])

Pro tips

• Run a 3-file smoke batch with your exact preset before the full library.
• Store per-file status in your pipeline table so the UI can show progress.
• Schedule batches off-peak — bandwidth is cheaper and output buckets are quieter.

Try the SDR2HDR batch flow in Postman.