Translation RFQ checklist
Specify content types, source condition, languages and locales, volumes, deadlines, intended use, review expectations, file formats, security requirements and commercial references.
Good translation begins before the first sentence is translated. This resource center is for people who need to prepare a document, brief an interpreter, compare suppliers, localize a product, or decide how much review a project really requires. The guidance is written around decisions that affect accuracy, cost, turnaround and acceptance—not around marketing terminology.
Short resources built around real project decisions rather than another layer of service marketing.
A strong resource center should help a client prepare work, evaluate providers and avoid preventable errors. It should not merely repeat service-page marketing.
Specify content types, source condition, languages and locales, volumes, deadlines, intended use, review expectations, file formats, security requirements and commercial references.
Ask where AI is used, which models or environments are approved, whether client data is retained, how human review is assigned, and how output quality is evaluated.
Provide complete scans, all pages and marginal notes, and tell us the receiving authority and country. Names, dates, stamps and handwritten additions often determine acceptance.
Send existing glossaries, product names, abbreviations, reference translations and terms that must not be translated. A short approved list can prevent extensive rework.
Include screenshots or context, character constraints, variables/placeholders, release cadence, supported locales and the mechanism for returning translated strings.
Share agenda, speaker names, presentations, terminology, participant profile, venue or platform details, recording policy and any sensitive subjects before the event.
The most useful procurement questions test the provider’s operating reality. They should make it harder to hide behind generic claims.
Who is accountable for the project? How are linguists selected? What changes when the content is legally or medically sensitive? How is terminology approved? Can AI processing be disabled? Where are files stored? How are reviewers given context? How are corrections fed back into future work? What evidence supports the provider’s experience claims? How are urgent requests handled? What will the client be able to see during production? What happens to files after delivery?
A provider does not need the same answer as every large global platform. It does need a clear, defensible answer that matches its real technology, people and production environment.