API Integration

Video Translation API for Multi-Region Release Operations

Localize one source video into multiple market-ready outputs with status-driven automation, locale-level failure isolation, and controlled rollout workflows.

Problem

Global launches often fail on synchronization, not translation quality: primary language publishes first while regional variants lag and campaign timing breaks.

Result with Ssemble

Ssemble enables source-once, localize-many operations with locale-specific state tracking so teams can release in controlled waves and recover partial failures quickly.

Implementation essentials

Base URL: https://aiclipping.ssemble.com/api/v1

Integration architecture (ingest → process → poll/webhook → publish)

1) Ingest

Create translation manifest: source, locale list, rollout policy, and fallback behavior.

2) Process

Submit locale-specific create requests and persist a parent release id for end-to-end traceability.

3) Poll / Webhook

Track each locale state independently to identify partial-success and partial-failure scenarios quickly.

4) Publish

Release locales that pass QA/policy gates and requeue failed locales with bounded retry strategy.

Endpoint examples

POST /shorts/create— Create locale-specific processing jobs
GET /shorts/:id/status— Track each locale lifecycle state
GET /shorts/:id— Fetch completed localized output for release

Auth guidance

Keep API keys and rollout controls in backend services only. Segment keys per environment and tightly scope production rollout access.

Rate limits and retries

Queue locale submissions in controlled batches, not full fan-out bursts. Use exponential backoff on 429/5xx and cap retries.

Request example

POST /shorts/create
{
  "fileUrl": "https://cdn.example.com/master-campaign.mp4",
  "start": 30,
  "end": 420,
  "language": "ko",
  "captionLanguage": "ja",
  "preferredLength": "under60sec",
  "layout": "auto"
}

Response example

200 OK
{
  "data": {
    "requestId": "665a1b2c3d4e5f6a7b8c9d0e",
    "status": "processing",
    "creditsUsed": 1,
    "estimatedCompletionTime": "2026-03-10T07:00:00.000Z"
  }
}

Error scenario example

500 Internal Server Error
{
  "error": {
    "code": "internal_error",
    "message": "An internal error occurred. Please try again.",
    "details": null
  }
}

Versioning

Record schema/version metadata for each locale request so cross-locale regressions are diagnosable after API changes.

Support

Persist parent release id + locale + requestId on every status transition for fast partial-launch incident recovery.

Quickstart

Define locale matrix and rollout strategy in backend configuration.
Create one processing request per locale using language/captionLanguage fields.
Poll status and update release board until each locale is terminal.
Fetch completed outputs and run locale-specific QA checks.
Publish passing locales immediately and route failed locales to bounded retry queue.

Open translation workflow docs

Start integration

1) Authentication

Server-only API key patterns

2) Status lifecycle

Queued/processing/completed/failed model

3) Rate-limit strategy

Headers, reset windows, and polling discipline

4) Error taxonomy

Programmatic handling by error.code

3-step workflow

Ingest one source asset with target locale matrix and rollout policy.
Process locale jobs asynchronously with independent status tracking per locale.
Publish completed locales via regional queues while failed locales route to controlled retries.

Why teams choose Ssemble

Designed for regional channel teams where release coordination is as critical as content quality.
Isolates failures per locale so one issue does not block entire campaign launches.
Works with posting automation for follow-the-sun distribution workflows.

Next step

Open translation API quickstart See pricing Developer docs

FAQ

How do we prevent one locale from blocking all regions?

Use per-locale state machines and release gates so each locale can be published independently unless policy requires all-locales sync.

Should we submit all locales at once?

Usually no. Controlled batching protects rate budgets and simplifies incident triage when a locale path degrades.

What is the minimum observability payload?

Track parent release id, locale code, requestId, status transitions, error code, and retry count for each job.

Which errors should retry automatically?

Retry transient transport, 429, and 5xx errors with backoff. Fail fast on validation errors and route for config/data correction.

Can translation and posting be separated?

Yes. Many teams keep translation completion and channel publishing in separate queues for better control and rollback safety.

Does this guarantee equal outcomes across all locales?

No guarantee should be assumed. Measure completion time, failure rate, and QA pass rate by locale and adjust rollout policy accordingly.