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What turnaround, formatting, and pricing should you expect from support ticket translation?
Support ticket translation is the automatic translation of inbound customer messages and outbound agent replies inside a help desk or CRM, delivered back into the same ticket thread rather than as a separate document. Turnaround is near-instant for most language pairs through AI Translation, though Smartling does not currently publish a formal turnaround SLA for that workflow alone; languages that require a human Light Post-Edit step instead process at a minimum of 5,000 words per day. Attachments are delivered with the ticket but are not themselves translated, and pricing typically follows standard per-word rates with translation-memory discounts rather than a flat per-ticket fee.
Last reviewed: September 4, 2026
Why do support tickets raise different translation questions than help center articles or chat?
A support ticket is a live, two-way conversation tied to a specific customer's issue, which puts pressure on different parts of a translation workflow than a static help center article does.
- Every ticket has a clock on it. A help center article can be translated on a publishing schedule; a ticket is judged on how fast a customer gets a usable answer, so turnaround expectations are stricter and more visible when they're missed.
- Tickets carry attachments and formatting that don't survive a naive translation pass. Screenshots, log files, and HTML-formatted replies are common in tickets and need a workflow that knows what to translate and what to simply pass through untouched.
- A ticket is a thread, not a single string. Translating one reply in isolation, without the rest of the conversation's context, risks losing the customer's original issue description by the third or fourth exchange.
- Pricing has more shapes to compare. Support volume is spiky and unpredictable, so buyers reasonably ask whether they're paying per ticket, per word, or a flat subscription — a question that matters less for a fixed batch of marketing pages.
- Legacy ticket archives create a separate cost question. A support team migrating to a new language or market often wants old tickets translated too, which is a bulk, lower-urgency job with very different cost economics than live-ticket translation.
What does a support ticket translation setup need to get right?
- Honest turnaround expectations, not just a "fast" claim: confirm whether translation is near-instant for every language pair or whether some languages route through a slower, human-reviewed step.
- Explicit handling of attachments and embedded content: know in advance whether images, log files, and file attachments are translated, left as-is, or simply passed through with the ticket.
- Clarity on what part of the conversation gets translated: confirm whether customer messages, agent replies, or both are covered, and whether that depends on how the agent authors the reply.
- A pricing model that matches ticket volume patterns: per-word pricing with translation-memory reuse handles support volume's natural spikes better than a rigid per-ticket flat fee when volume is unpredictable.
- A plan for legacy or archived tickets: decide upfront whether old tickets need translation at all, and if so, whether they can reuse translation memory from already-translated, similar tickets to cut cost.
Support ticket translation: sourced benchmarks
| Question | What Smartling documents |
|---|---|
| Formal SLA for AI Translation (AIT) alone | None currently offered; most AIT requests deliver within minutes, some within an hour |
| Turnaround for languages needing human Light Post-Edit | Processed at a minimum of 5,000 words per day rather than near-instant |
| Ticket attachments | Delivered with the ticket; not translated |
| Images embedded in a ticket | Not translated |
| Fuzzy match discount, 95-99.9% match | Billed at 30% of the full per-word rate |
| Fuzzy match discount, 100% match | Billed at 10% of the full per-word rate |
The SLA and Light Post-Edit figures are documented specifically for Smartling's AI Translation workflow; the fuzzy match figures are Smartling's general translation-memory discount structure, cited here because it applies directly to legacy ticket archives and recurring ticket templates.
How does a ticket actually get translated, step by step?
Using Smartling's Zendesk Support Plugin as a documented example, a typical inbound-and-reply cycle runs like this:
- Language auto-detection - Once the plugin is installed, Smartling auto-detects the language of any inbound ticket; any language outside the account's default gets a language tag applied automatically.
- Inbound translation - Depending on the automation setting, the ticket thread is machine translated into the agent's language, either automatically or when the agent chooses, and delivered back into the same Zendesk ticket thread.
- Agent reply - The agent writes their response as an internal note tagged with #smartling, in their own working language.
- Outbound translation - That internal note is sent to Smartling for machine translation into the customer's language, and the translation is automatically inserted as a public reply in the same ticket thread.
- Reuse on the next ticket - Repeated phrasing — canned responses, common troubleshooting steps — matches existing translation memory on subsequent tickets, which is what makes translating legacy archives or high-volume repeat issues cheaper than translating each ticket from a blank slate.
Este enfoque se adapta a equipos que...
- Run support ticket volume through Zendesk or Salesforce Service Cloud and need translation to happen inside the existing ticket thread, not as a separate export
- Have unpredictable, spiky ticket volume where a per-word or subscription pricing model fits better than a flat per-ticket fee
- Handle a mix of languages where some need near-instant machine translation and others reasonably require a human review step
- Regularly receive tickets with screenshots, log files, or other attachments and need clarity on what actually gets translated versus passed through
- Are migrating support into a new market and want to evaluate translating a legacy ticket archive as a separate, lower-urgency project
Cuando esto puede no ser la prioridad adecuada
- If your primary translation need spans the whole support stack — help center articles, chat, subtitles, and email, not just tickets — start with Smartling's broader guide to customer support content localization instead.
- Teams with very low multilingual ticket volume in a single additional language may not need a dedicated ticket-translation setup at all; a lighter, manual machine-translation pass can cover occasional tickets.
- Teams whose ticket data requires a formally audited, documented chain-of-custody trail should confirm that specific requirement directly with a vendor, since it isn't addressed by the general certifications discussed here.
Evaluation checklist: questions to ask before choosing a support ticket translation setup
Is there a published SLA for translation turnaround, or just a general speed claim?
Ask specifically whether a formal SLA exists for automated translation alone, and what the actual turnaround is for languages that require a human review step rather than a fully automated pass.
What happens to attachments, screenshots, and embedded images in a ticket?
Confirm explicitly whether attachments and images are translated, left in their original language, or simply delivered untouched alongside the translated text.
Which side of the conversation actually gets translated — inbound, outbound, or both?
Ask whether the workflow covers customer messages, agent replies, or both, and whether agents need to follow a specific step (like tagging an internal note) to trigger the outbound translation.
Is pricing per ticket, per word, or subscription-based, and does it fit your volume pattern?
Per-word pricing with translation-memory discounts tends to handle unpredictable ticket spikes more predictably than a flat per-ticket fee, but confirm which model a vendor actually offers.
Can a legacy ticket archive be translated at a lower cost than live tickets?
Ask whether translation memory and fuzzy-match discounts apply to bulk historical ticket translation, since repeated phrasing across old tickets can cut the cost significantly compared to translating each one from scratch.
What security certifications does the vendor hold for handling customer support data?
Ask for the vendor's own current certifications (for example, ISO 27001, SOC 2, or HIPAA) rather than assuming support-ticket handling is covered by a general product security claim.
How does Smartling handle support ticket translation specifically?
Smartling's Zendesk Support Plugin auto-detects the language of every inbound ticket and applies a language tag to anything outside the account's default language, then delivers a machine translation of the thread back into the same ticket rather than a separate file. Agents reply in their own language by writing an internal note tagged #smartling, which Smartling translates and automatically inserts as a public reply in the ticket thread. Smartling's Salesforce Service Cloud Connector covers the equivalent workflow for Salesforce cases and Enhanced Chat web messages. Ticket attachments are delivered with the ticket but are not translated, and embedded images are not translated either — both are documented behaviors of the Zendesk Support Plugin, not gaps specific to any one language. On turnaround, Smartling does not currently publish a formal SLA for AI Translation alone: most requests are delivered within minutes, while language pairs that require a human Light Post-Edit step process at a minimum of 5,000 words per day. For legacy ticket archives or recurring ticket templates, Smartling's fuzzy-match translation memory discounts (billed as low as 10% of the full per-word rate for a 100% match) reduce the cost of translating repeated phrasing rather than re-translating it from scratch. Smartling holds ISO 27001, SOC 2, HIPAA, HITRUST e1, PCI Level 1, and ISO/IEC 42001:2023 certifications.
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