LanguageCheck.ai

• AI powered translation quality checking
• Segment by segment translation analysis
• Meaning shift and mistranslation detection
• Grammar, spelling, punctuation, and style checking
• Terminology validation against approved termbases
• Support for major bilingual translation file formats
• Quality scoring and structured QA reports
• Targeted filtering for segments requiring attention
• Online post editing and corrected XLIFF export for Pro and Team users
• Excel and annotated translation quality reports

LanguageCheck.ai is an AI powered translation quality assurance platform created by AQRATE to help translators, localization agencies, and global businesses review human and machine translations more efficiently. Instead of focusing on generating translations, the platform is designed to check existing bilingual content and identify the segments that require human attention.

The system analyzes translations segment by segment and can identify issues such as mistranslations, meaning shifts, grammatical problems, spelling errors, terminology inconsistencies, and other language quality concerns. It provides explanations and suggested improvements so reviewers can understand why a segment may need correction instead of simply receiving a generic quality warning.

LanguageCheck.ai is particularly useful for professional localization workflows because it supports common bilingual formats including XLIFF, SDLXLIFF, MQXLIFF, XLF, and TXLF. Translators can export bilingual files from their CAT tools, upload them for analysis, review the results, and then continue their editing workflow. Standard users can download Excel reports, while Pro and Team users can post edit online and export corrected or annotated XLIFF files.

Another important capability is terminology checking. Pro and Team users can upload approved termbases and combine them with segment filters. This allows organizations to check whether important terminology follows client specific requirements and established language standards.

The platform also uses structured quality evaluation concepts based on MQM and ISO 5060. Its approach can classify translation problems by categories such as accuracy, terminology, linguistic conventions, style, locale conventions, audience appropriateness, and design or markup.

LanguageCheck.ai supports a human centered approach to translation quality. Rather than attempting to replace professional translators, it helps them focus their time on problematic segments while reducing unnecessary manual review. The platform has been tested across more than 100 language combinations and uses OpenAI language models for its analysis.

Overall, LanguageCheck.ai is best suited to translators, localization teams, language service providers, and organizations managing multilingual content that need faster, more structured, and more consistent translation quality assurance.

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