PH Deck

Users previously had to use multiple tools (e.g., Google Translate, manual formatting correction) to translate different content types like documents, webpages, and subtitles. Manual adjustment of formatting post-translation and fragmented workflows for varied content types created inefficiencies.

Users face challenges in translating large files efficiently and accurately

Challenges: Time-consuming manual translations, errors in translated content, limited file formats supported

Users manually translate spreadsheet data or use separate tools, leading to time-consuming processes and increased errors.

Users need to manually extract text from images, use separate translation tools, and edit images to replace text, leading to inefficient and time-consuming workflows.

Users rely on online-only AI tools requiring constant internet connectivity, facing dependency on internet connectivity and potential security risks with data processed online.

Current situation: Users who need to expand their products globally often face the challenge of translating text within images. Drawbacks: Traditional methods might not support a wide range of languages and can be time-consuming. The need for manual translation can also lead to errors.

Users are manually translating and managing i18n JSON files for multilingual projects, leading to time-consuming workflows, higher error rates, and limited scalability.

Users previously relied on traditional translation methods or single-pass AI tools for translating books, which often resulted in less fluent, non-idiomatic, or glossary-inaccurate translations, requiring extensive editing and proofreading before publication.

Users need to manually translate manga and comics, which is time-consuming and prone to errors in preserving cultural nuances and text formatting.