Know Exactly How Good Your AI Translation Is. Then Make It Better.
LangScore evaluates AI-generated translations and content with professional-grade metrics — and tells you precisely what to fix, how to improve your prompts, and where your glossary and style guide need work.
Smart Summaries
Extract the essentials from any text, video or audio.
Prompts Results
Get perfect answers from the first question.
Accurate Content
We optimize the results so that the text is consistent
Optimized Subtitles
Fluid, synchronized and audience-friendly subtitles.
AI translates fast. But fast is not the same as right.
ChatGPT, Claude, DeepL, Google Translate — the tools are impressive. The output arrives in seconds. And then someone has to read it and decide: is this good enough to publish? To send to a client? To use in a legal document?
Most organizations answer that question with a gut feeling. A bilingual employee takes a quick look. A project manager approves it because there is no time for anything else. And the errors — terminology inconsistencies, mistranslated nuances, style that does not match the brand — go out into the world.
LangScore replaces the gut feeling with data. It evaluates your AI-generated translations against professional quality standards, identifies specific errors by category and severity, and generates actionable recommendations: better prompts for your specific AI tool, glossary entries that need updating, and style rules that will prevent the same errors from recurring.
What Is LangScore?
LangScore is LangImpact’s AI translation quality platform. It combines two complementary layers that work together to give you complete quality assurance:
LangScore Evaluate is the automated assessment engine. You submit your source text and AI-generated translation — or upload an XLIFF file directly from your TMS — and LangScore analyzes it using two professional-grade frameworks: BLEU scoring for overall translation accuracy, and MQM (Multidimensional Quality Metrics) for structured error analysis across categories including accuracy, fluency, terminology, style, and locale convention. You receive a quality score, a detailed error breakdown, and — critically — specific recommendations for improving your prompts with the exact AI tool you used.
LangScore Review is the human-in-the-loop layer. When automated evaluation is not enough — for high-stakes content, specialized domains, or content where errors carry real consequences — our expert linguists review the output, validate the automated findings, and deliver a certified quality report. The human layer does not replace the tool; it completes it.
How to evaluate AI translation quality
Step 1: Submit Your Content
Paste your source and translated text directly into LangScore, or upload an XLIFF 1.2 or 2.0 file from your TMS (Crowdin, Smartling, or any compatible tool). Select your language pair and the AI tool you used to generate the translation.
Step 2: Automated Quality Assessment
LangScore calculates your BLEU score (overall translation accuracy) and runs an MQM analysis to identify and categorize errors: accuracy issues, fluency problems, terminology inconsistencies, style deviations, and locale convention errors. Each error is classified by severity — minor, major, or critical.
Step 3: AI-Specific Prompt Recommendations
Based on the error patterns detected, LangScore generates specific prompt improvement suggestions tailored to the AI tool you used. ChatGPT, Claude, Gemini, DeepL, Google Translate, and Microsoft Translator each have different strengths, weaknesses, and prompt sensitivities — the recommendations reflect this.
Step 4: Glossary and Style Guide Insights
LangScore identifies terminology inconsistencies and style deviations that point to gaps in your glossary or style guide. You receive specific entries to add or update — so the same errors do not recur on the next project.
Step 5: Human Review (Optional)
For content where quality is non-negotiable, activate LangScore Review: our expert linguists validate the automated findings, correct the errors, and deliver a certified quality report. Your content is ready to publish, present, or submit — with professional accountability behind it.
Convert automatic content into professional results
Upload your text and let AI and our technology do the rest
LangScore Is Coming. Be Among the First to Use It.
LangScore is currently in final development. We are opening early access to a limited number of organizations who want to be among the first to evaluate AI translation quality with professional-grade metrics — and to shape the tool’s development with their feedback.
Early access members receive:
- Priority access when LangScore launches
- Discounted pricing locked in for the first year
- Direct input into the feature roadmap
- A free quality evaluation of one of their current AI translation projects
Prompt Recommendations Tailored to Your AI Tool
LangScore does not give generic advice. The prompt improvement recommendations it generates are specific to the AI tool you used — because each tool responds differently to prompt structure, context, terminology guidance, and style instructions.
AI Tool | LangScore Recommendation Type |
ChatGPT (GPT-4o / GPT-4.1) | Prompt structure, role definition, context injection, glossary formatting |
Claude (Anthropic) | Instruction clarity, XML tags for structured output, tone calibration |
Gemini (Google) | Context window use, language pair specificity, style anchoring |
DeepL | Glossary configuration, formality settings, domain selection |
Google Translate | API parameter optimization, glossary integration |
Microsoft Translator | Category ID configuration, custom model recommendations |
Custom LLM | System prompt architecture, few-shot examples, output format control |
The 4 keys that make our content optimization solution unique
Accuracy and professionalism in each result
It's not enough to just generate content: make sure it's useful, clear, and consistent. Our solution applies advanced linguistic and communicative criteria to turn any AI-generated text into publish-ready content. Real quality, with no extra effort on your part.
Save time and improve your productivity
Avoid wasting hours editing summaries, manually switching languages, or correcting subtitles. Our platform automates the tedious parts and delivers optimized content to you instantly, so you can focus on what really matters: creating, communicating, or making decisions.
AI powered with strategic review
Unlike other automated solutions, we don't just process content. We analyze it, improve it and adapt it to your goals. We combine the power of artificial intelligence with an evaluation logic that brings real value to your texts, prompts or versions in other languages.
Versatility for all content types
Whether you're working with lengthy texts, educational videos, podcasts, prompt responses, or white papers, our system adapts. We extract the essentials, fix bugs, and turn any type of file into clear, well-structured, and 100% usable content.
Frequently Asked Questions
Is LangScore available now?
LangScore is currently in final development. We are accepting early access requests from organizations who want priority access at launch and discounted first-year pricing. Contact us to join the list.
What file formats does LangScore support
LangScore accepts plain text (paste directly) and XLIFF 1.2 and 2.0 files from any compatible TMS, including Crowdin, Smartling, and others. Additional format support is on the roadmap.
Does LangScore work with any AI translation tool?
Yes. LangScore evaluates the output of any AI translation tool — ChatGPT, Claude, Gemini, DeepL, Google Translate, Microsoft Translator, or a custom LLM. The prompt improvement recommendations are tailored to the specific tool you used.
What is the difference between LangScore Evaluate and LangScore Review?
LangScore Evaluate is the automated assessment layer: fast, consistent, data-driven quality scoring and error analysis. LangScore Review adds expert human linguists who validate the automated findings and certify the quality of the content. For most use cases, Evaluate is sufficient. For high-stakes content — legal, medical, regulatory, or brand-critical — Review provides the professional accountability that automated tools cannot.
How is LangScore different from a translation quality tool like Xbench or Verifika?
Traditional QA tools like Xbench and Verifika check for formal errors in translated files (missing tags, inconsistent terminology, number formatting). LangScore evaluates semantic quality — whether the translation actually means what it should — and generates specific recommendations for improving the AI prompts and linguistic assets that produced the output. It is a quality improvement tool, not just a quality checking tool.
Is LangScore part of LangImpact's other services?
LangScore is a standalone product, but it integrates naturally with LangImpact’s other offerings. LangTeams uses LangScore for quarterly linguist performance evaluations. LangLean uses it as the quality gate in managed language workflows. LangOps clients use it to build data-driven quality benchmarks across their language operations.