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Batch translation without the spreadsheet

A 30-file launch kit into 12 languages used to mean a spreadsheet, a project manager, and a week. With batch translation, it’s a queue you set up once and a delivery you ship the same day — same glossary, same styleguide, same QA across every file.

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A working slice of the real thing — Literess, glossary, styleguide, workflows, and the translation memory are all live. Click around.

Chill, love

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A key turned in the lock and the door swung open.

У замку повернувся ключ, і двері розчахнулися.

Chill, love — chapter 2you · last week
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The knock came just before midnight.

Стукіт пролунав перед самою північчю.

Chill, loveyou · today
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In context

Translating one document is a tactical decision. Translating fifty is a project — and projects are where AI translation tools usually fall apart. The glossary that worked on file one drifts by file thirty. The styleguide gets renegotiated between batches. Half the files come back without the formatting you started with. Batch translation in Transept treats the whole bundle as one job with shared context: one glossary across every file, one styleguide across every file, one queue you can monitor, one QA pass at the end. The 50-file deliverable that used to take a week now takes a quiet morning.

A queue, not a project plan

Drop the files in, pick the targets, hit run. Batch translation runs each file with shared resources — your project glossary, your styleguide, your model preference — so the output reads like one translator did all of it.

  1. Upload the bundle

    Drop in DOCX, PDF, Markdown, or HTML files. Or import a Notion or Google Drive folder. Or paste a URL list for HTML pages.

  2. Pick the targets

    One language pair, or a matrix — English to German, French, Spanish, Italian, Dutch, Polish, all at once. Standard, Pro, or Publish-Ready mode applies to the whole batch.

  3. Shared context across every file

    The glossary and styleguide you’ve set apply to every file in the batch. Character names, product terms, and brand voice stay consistent across files that would otherwise drift.

  4. QA the whole batch in one pass

    Smart Proofread runs across the batch and surfaces issues by file. Resolve, regenerate, ship.

When batch changes the math

Product launches

Landing page + announcement email + FAQ + release notes + press kit, into ten languages, one queue.

Knowledge-base localization

A hundred help articles into a new market without onboarding a translation vendor or building a spreadsheet.

Quarterly content sync

Newsletter back-issues, blog archive, gated reports — kept in sync across markets on a monthly cadence.

FAQ

Questions, answered without the fluff

  • Words are billed at words × target languages × mode multiplier. Standard is 1× source words per language; Pro is 3×; Publish-Ready is 5×. The estimate is shown before you run.
  • Yes — pause the queue at any point. Completed files stay completed. Resume when you’re ready.
  • The rest of the batch keeps going. Failed files surface in the dashboard with the error reason; rerun just that file when the issue is fixed.
  • No hard limit. Free plan covers small batches; paid plans cover real production workloads. Top-up packs handle anything outside your monthly allowance.
  • No hard cap. Practical limits are word budget and queue throughput. Most teams batch 20–100 files per run; a few customers run thousand-file batches monthly.
  • New files queue up behind the running batch and use the same shared glossary and styleguide. The dashboard shows pending vs running vs completed so you can keep adding without losing visibility.
  • Yes — pick all your target languages upfront and the batch runs the full matrix (files × languages) in parallel. Smart Proofread also runs per-language at the end.
  • Words = source words × number of target languages × mode multiplier. The pre-run estimate shows the word cost before you commit. Top-up packs let you handle bursts that exceed your monthly plan without changing tier.
  • Yes — the batch view shows files by status (queued, translating, proofreading, ready), per-language progress bars, and an estimated time-to-completion. Notifications fire when the batch finishes.

A launch in twelve languages, one queue

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