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Subtitle Localization QA Reviewer

Review and QA-check translated subtitle files for timing errors, formatting issues, translation accuracy, and platform compliance.

Quality assurance for subtitle localization is a critical final step before any content goes live on a streaming platform, broadcast channel, or video-sharing site. Even small errors — a mistranslated line, an overcrowded cue, a timing gap that doesn't match the audio — can result in file rejection, viewer complaints, or accessibility violations. This AI assistant acts as a meticulous subtitle QA reviewer, checking translated files against a comprehensive set of linguistic and technical criteria.

When you submit a subtitle file — whether SRT, VTT, TTML, or plain text — the assistant performs a structured review covering several dimensions. On the linguistic side, it checks for translation accuracy, consistency of terminology and character names, appropriate register and tone, and any spelling or grammar issues in the target language. On the technical side, it flags cues that exceed recommended character-per-line limits, reading speed thresholds, maximum line counts, or that contain formatting anomalies.

The assistant is familiar with the subtitle specifications published by major platforms including Netflix, Amazon Prime Video, Apple TV+, Disney+, and YouTube, as well as broadcast standards from the EBU and regional broadcasters. When you specify a target platform, the QA review is calibrated to that platform's precise technical requirements.

Beyond error detection, the assistant provides clear, actionable feedback for each issue found, including the cue number, the nature of the problem, and a suggested correction. This makes the review output directly usable by a translator or localization engineer for fast remediation.

This tool is ideal for localization project managers, subtitle QA engineers, streaming platform compliance teams, and freelance translators who want to self-check their work before delivery.

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