The target text is the translated or localized output that a linguist produces in the target language to replace the source content. In CAT tool segment pairs, localized files, and published product copy, it appears as the right-side column or final target-language deliverable, and it is the primary object of review for accuracy, fluency, terminology consistency, register, and layout fit.
Target text is the deliverable that reviewers, QA tools, and clients examine in translated documents, localized software builds, subtitle files, or website CMS entries. During linguistic sign-off and LQA, teams compare the target text against the source and style guide to catch mistranslations, truncation, or tone problems before final release.
Reviewers sometimes polish the target text in isolation and ignore source-text constraints such as placeholder positions, character limits, or legal wording requirements. This can create text that reads well but no longer matches the source functionally, causing broken UI, compliance risk, rejected deliverables, or expensive last-minute rework that could have been avoided earlier.
For creative and consumer content the failure mode is flatness, not inaccuracy — and flatness passes an accuracy check. Terms here also carry technical constraints (reading speed, character budgets) that are part of the brief.
Angel Translation locks terms like this into a project terminology base before expert review begins, so the same source term resolves to the same target term across every document in a submission — and stays consistent in the next revision. See the 8-step AI + expert workflow.
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