Video Upscaler

Product ID: video_upscaler · Billing: Beeble Cloud credits

Before you start

Create an API key with your organization selected.
Confirm the product is enabled and your organization has Beeble Cloud credits.
Select a model below and complete any required consent in Beeble Cloud.

Choose a model

List the models available to your organization: Set BEEBLE_API_KEY and, for internal teams, BEEBLE_TEAM_ID.

curl --fail-with-body "https://api.beeble.ai/v1/products/video_upscaler/models" \
  -H "x-api-key: $BEEBLE_API_KEY" \
  -H "X-Beeble-Team-Id: ${BEEBLE_TEAM_ID:-}"

import json
import os
import requests

headers = {"x-api-key": os.environ["BEEBLE_API_KEY"]}
if team_id := os.environ.get("BEEBLE_TEAM_ID"):
    headers["X-Beeble-Team-Id"] = team_id

response = requests.get(
    "https://api.beeble.ai/v1/products/video_upscaler/models",
    headers=headers,
    timeout=30,
)
response.raise_for_status()
print(json.dumps(response.json(), indent=2))

const headers = { "x-api-key": process.env.BEEBLE_API_KEY }
if (process.env.BEEBLE_TEAM_ID) {
  headers["X-Beeble-Team-Id"] = process.env.BEEBLE_TEAM_ID
}
const response = await fetch(
  "https://api.beeble.ai/v1/products/video_upscaler/models",
  {
    headers,
    signal: AbortSignal.timeout(30_000),
  },
)
if (!response.ok) throw new Error(await response.text())
console.log(JSON.stringify(await response.json(), null, 2))

Response (200): models contains each model’s id, name, input_schema, and any requires_consent value. Use the selected model’s input_schema for required inputs, types, defaults, and supported values. Request parameters and response schema

Prepare your inputs

Provide your video and check the model’s duration, frame-rate, and output-resolution constraints before submission. For each media field supported by your model, provide a Beeble URI, an authorized Beeble CDN URL, a public/presigned HTTPS URL, or a base64 data URI. HTTPS and data URIs do not require a separate upload. Follow the shared media limits and the selected model’s file requirements.

Submit a job

Schemas: Request body · Response. The inputs object follows your selected model’s input_schema above. Request template: replace MODEL_ID_FROM_CATALOG and fill inputs from the model schema. Save as request.json. Use a unique idempotency_key for each new job; keep it unchanged on retries.

{
  "model_id": "MODEL_ID_FROM_CATALOG",
  "billing_unit": "credits",
  "idempotency_key": "video_upscaler-example-001",
  "inputs": {}
}

Python requires requests; JavaScript examples run in Node.js.

curl --fail-with-body https://api.beeble.ai/v1/products/video_upscaler/jobs \
  -H "x-api-key: $BEEBLE_API_KEY" \
  -H "X-Beeble-Team-Id: ${BEEBLE_TEAM_ID:-}" \
  -H "Content-Type: application/json" \
  --data-binary @request.json

import json
import os
from pathlib import Path

import requests

headers = {"x-api-key": os.environ["BEEBLE_API_KEY"]}
if team_id := os.environ.get("BEEBLE_TEAM_ID"):
    headers["X-Beeble-Team-Id"] = team_id

response = requests.post(
    "https://api.beeble.ai/v1/products/video_upscaler/jobs",
    headers=headers,
    json=json.loads(Path("request.json").read_text()),
    timeout=120,
)
response.raise_for_status()
job_id = response.json()["id"]
print(job_id)

import { readFile } from "node:fs/promises"

const headers = {
  "x-api-key": process.env.BEEBLE_API_KEY,
  "Content-Type": "application/json",
}
if (process.env.BEEBLE_TEAM_ID) {
  headers["X-Beeble-Team-Id"] = process.env.BEEBLE_TEAM_ID
}

const response = await fetch(
  "https://api.beeble.ai/v1/products/video_upscaler/jobs",
  {
    method: "POST",
    headers,
    body: await readFile("request.json", "utf8"),
    signal: AbortSignal.timeout(120_000),
  },
)
if (!response.ok) throw new Error(await response.text())
const { id: jobId } = await response.json()
console.log(jobId)

Response (202, abbreviated):

{
  "id": "dap_example",
  "status": "processing",
  "outputs": {}
}

Completed response

Poll the job using the returned id until status is success. Stop on failed, cancelled, or credit_required. Example response (200, success; abbreviated): URLs are illustrative. Available outputs depend on the model and input media.

{
  "id": "dap_example",
  "product": "video_upscaler",
  "status": "success",
  "outputs": {
    "media_kind": "video",
    "primary_url": "https://cdn.beeble.ai/example/upscaled.mp4?signed-parameters",
    "thumbnail_url": "https://cdn.beeble.ai/example/thumbnail.webp?signed-parameters"
  }
}

Download outputs.primary_url for the upscaled video.

Get started

Products

Core concepts

Integrations

Before you start

Choose a model

Prepare your inputs

Submit a job

Completed response

​Before you start

​Choose a model

​Prepare your inputs

​Submit a job

​Completed response

Before you start

Choose a model

Prepare your inputs

Submit a job

Completed response