Rigi is a cloud‑based platform that adds language files with embedded tokens to an application—without any code changes—to automatically generate dynamic visual previews of every UI screen in each target language. These contextual screenshots let translators, reviewers, and project managers see exact UI context, reducing clarification queries and speeding up localization cycles, while integrating with existing TMS tools via connectors and APIs.
Funding
Funding not disclosed
Founders
Product
Problem
Software localization projects often suffer from ambiguous context, leading to frequent translator queries, inaccurate translations, and prolonged iteration cycles. Coordination between developers and linguists adds overhead, especially when visual context is missing.
Solution
Rigi offers a cloud‑based platform that injects special language files containing Rigi tokens into an application without any code changes. These tokens enable the system to identify every UI string and generate dynamic, multilingual visual previews of each screen. Translators, reviewers, and project managers can view exact screenshots of the UI in target languages, reducing ambiguity and the need for clarification. The platform integrates with existing translation management systems via connectors and provides an API for automated workflows, including UI‑test integration. By delivering contextual visual evidence, Rigi improves translation accuracy, cuts iteration time, and accelerates time‑to‑market for software products.
Target Audience
Primary users are localization teams in SaaS and enterprise software companies, including translators, project managers, and QA engineers who need precise UI context for multilingual releases.
Features
- No‑code integration: add Rigi language files to the code repository to enable visual previews without developer involvement
- Dynamic multilingual UI snapshots: automatic generation of screen‑by‑screen previews for any language, including support for Single Page Applications (SPA) via HTML previews
- API and third‑party connectors: seamless import/export with TMS platforms such as XTM, memoQ, Trados, Passolo, and programmable access for custom automation
- ID‑based localization engine: tracks UI strings by identifiers, providing consistent context and higher quality without a traditional translation memory
- Multi‑format parsers: built‑in support for dozens of file formats to cover diverse software stacks
- Contextual review dashboard: enables translators, reviewers, and project managers to inspect and approve translations directly on visual mockups