translator

name	translator
description	Reference skill for Zoom AI Services Translator. Use after routing to text translation, one-target-language jobs, Build-platform JWT auth, fast mode translation, batch file translation, or translation pipeline design.
user-invocable	false
triggers	["translator","ai services translator","zoom translator","translate text","batch translation","fast mode translation","text translation api","build platform jwt"]

Zoom AI Services Translator

Background reference for Zoom AI Services Translator across:

• synchronous plain-text translation (POST /aiservices/translator/translate)
• asynchronous batch text-file jobs (/aiservices/translator/jobs*)
• one-target-language translation workflows
• Build-platform JWT generation and server-side credential handling
• webhook-driven batch status updates

Official docs:

• https://developers.zoom.us/docs/ai-services/
• https://developers.zoom.us/docs/ai-services/translator/
• https://developers.zoom.us/docs/ai-services/translator/fast-mode/
• https://developers.zoom.us/docs/ai-services/translator/batch-mode/
• https://developers.zoom.us/api-hub/ai-services/methods/endpoints.json
• Quickstart sample: https://github.com/zoom/ai-services-quickstart/

Routing Guardrail

• If the user needs plain text translated, route here first.
• If the user needs audio/video transcribed before translation, route to ../scribe/SKILL.md, then chain here.
• If the user needs summaries or action items, route to ../summarizer/SKILL.md.
• If the user needs live meeting media before translation, route to ../rtms/SKILL.md.
• If the user needs the raw AI Services endpoint inventory, chain ../rest-api/SKILL.md.
• If the user needs webhook signature patterns, optionally chain ../webhooks/SKILL.md.

Quick Links

1. scenarios/high-level-scenarios.md
2. examples/fast-mode-node.md
3. examples/batch-webhook-pipeline.md
4. references/api-reference.md
5. references/environment-variables.md
6. references/samples-validation.md
7. troubleshooting/common-drift-and-breaks.md
8. RUNBOOK.md

Core Workflow

1. Get Build-platform API key and API secret.
2. Generate an HS256 JWT server-side.
3. Choose fast mode for one text string or batch mode for stored text files.
4. Set source_language and a single target_languages entry.
5. Submit the request and persist result.translations.
6. For batch jobs, poll job/file status or receive webhook notifications.

Endpoint Surface

Mode	Method	Path	Use
Fast	POST	/aiservices/translator/translate	Synchronous translation for one text input
Batch	POST	/aiservices/translator/jobs	Submit asynchronous batch translation job
Batch	GET	/aiservices/translator/jobs	List batch translation jobs
Batch	GET	/aiservices/translator/jobs/{jobId}	Inspect job summary/state
Batch	DELETE	/aiservices/translator/jobs/{jobId}	Cancel queued/processing job
Batch	GET	/aiservices/translator/jobs/{jobId}/files	Inspect per-file results
Batch	GET	/aiservices/translator/jobs/{jobId}/files/{fileId}	Inspect one per-file result

Mode Selection

Need	Use
One text value under 4,000 characters	Fast mode
.txt files in S3	Batch mode
Chat messages, UI strings, workflow actions	Fast mode
Large offline document archive	Batch mode

Translation Guardrails

• Fast mode supports one target language per request.
• Batch mode supports one target language per job.
• Translation is bidirectional with English: every job must have either source_language or target_languages set to en-US.
• Non-English to non-English pairs are not supported yet.
• Use BCP-47 locale codes such as en-US and es-ES, not short codes such as en.

Chaining

• Media to transcript to translation -> ../scribe/SKILL.md + translator
• Summary to localized output -> ../summarizer/SKILL.md + translator
• Batch webhook receiver -> translator + ../webhooks/SKILL.md
• Raw endpoint discovery -> ../rest-api/SKILL.md
• Cross-product routing -> ../general/SKILL.md

Operations

• RUNBOOK.md - 5-minute preflight and debugging checklist.