TextUnited Ratings (September 2025)
This page breaks down TextUnited ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand TextUnited’s overall reputation. This data-driven overview will show you exactly how TextUnited is rated - including how it compares to competitors.
TextUnited's Overall Rating Summary
- Average Rating:4.5/5
- Total Reviews:171 reviews
- Sources:G2, Capterra, Getapp, Facebook, Omr
- Last updated:September 1, 2025
What is TextUnited?
TextUnited offers an AI-powered translation platform that provides expert translations, real-time progress monitoring, and a self-service experience. Key features include website translation, eLearning & education localization, software localization, multilingual customer experience, and content automation with over 30 supported file types. The platform leverages AI and machine translation, built-in translation memories, and a team of 1000+ expert linguists to ensure high-quality translations and reduced costs.
🤔 TextUnited vs Competitors: How Do Ratings Compare?
Check out TextUnited AlternativesFrequently Asked Questions
How trustworthy is TextUnited?
According to Capterra and G2 review sites TextUnited holds ratings of 4.7/5 and 4.3/5 respectively from 112 reviews, indicating a strong level of trust and satisfaction among users as of September 2025.
How many stars is TextUnited rated?
TextUnited has an average star rating of 4.5 out of 5 stars based on average of 171 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from TextUnited public reviews pages on platforms: G2, Capterra, Getapp, Facebook, Omr. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for TextUnited is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.