Speed up with structure, context, and AI
Shorten turnaround time by bringing source text, IDs, variants, locales, screenshots, sounds, and other data types together effortlessly. Make fast updates using context and AI.
Automated QA: your comprehensive first pass
Wipe out most issues automatically by detecting missing terms and tags, along with over 25 types of QA errors. Track changes between source and target languages, as well as any related metadata.
Less back-and-forth, more bug fixes
Dynamically filter what needs checking while your production team works in parallel. Update in bulk or create tickets for any piece of data. Set their severity, @mention colleagues, and resolve with a clear audit trail.
Rovio: 4× faster LQA process
Watch how Rovio, the studio behind Angry Birds, streamlined their LQA process for the renowned title, Small Town Murders, pushing turnaround to 4x the original speed.
Localization QA using screenshots
Get the best of linguistic and visual testing to perform LQA at high speed by combining text with screenshots, or even sounds and videos.
Built-in linguistic tools at hand
Scan batches for issues using glossaries, concordance search, translation memories, length and spell checkers, or regex search.
Continuous LQA process
With clear string statuses, you don’t need to wait for development and translation to finish. Start as soon as any results are available and keep running checks on a tailored increment.
QA-only MTPE workflow
Generate content using AI translation engines, then post-edit it in the CAT editor, where linguists can perform QA checks and submit it back.
