File-aware processing
Preserve structure, tags, placeholders and round-trip metadata across complex source formats.
LanguageOps API
Your localization workflow, API first
Send real source files—not flattened strings—through extraction, translation, terminology, QA, LQA, review, and reconstructed export. Keep your team in control while your systems do the repetitive work.
One APIFiles, translation, QA and export
Async by designJobs, status and safe retries
ObservableCost, tokens, failures and polling
Workflow
From source file to delivery
1
Create and upload
Create a project with source and target languages, then upload DOCX, IDML, JSON, spreadsheets, XLIFF and other supported files.
2
Run the workflow
Start translation, terminology-aware enhancement, automated QA and optional LQA as one asynchronous job.
3
Review when needed
Route exceptions into the browser editor while clean batches continue automatically.
4
Export the original format
Reconstruct the translated source format or export XLIFF, TMX and QA evidence for downstream systems.
Capabilities
Production localization—not another text endpoint
Translation + quality
Combine MT and language models with project terminology, QA profiles, LQA and approval workflows.
TM and termbase access
Search, import and export translation memories; attach glossaries and enforce terminology in context.
Safe automation
Use idempotency keys, explicit job IDs, rate limits, cancellation, structured errors and retry guidance.
Secure team keys
Organization-scoped credentials are shown once and stored as one-way digests, with immediate revocation.
Unit economics built in
Track batch size, tokens per word, calls per job, polling share, LQA cost, failure rate and availability.
Operations
Know whether the automation is worth it
Average batch sizeTokens processed per wordCalls per jobRequests per 1,000 wordsCost per LQA jobRetry and failure ratesPolling versus useful callsSupport time per API customerAvailability and response time
Build your first LanguageOps workflow
API access is available on paid plans. Start with a production pilot; a dedicated sandbox and public CLI distribution are on the roadmap.
Talk to us