Behnevis vs Manage Translation Projects | Taia

Behnevis is an online Persian writing tool that turns Pinglish or Finglish (Persian typed with Latin letters) into standard Persian script. You type in the editor, and the site converts words as you go. It has been running since 2009 and targets Persian speakers who prefer typing with an English keyboard.

The main site offers an in-place editor plus speech-to-text that supports Persian and more than 100 other languages. You can click any converted word to fix its spelling, and Behnevis remembers that correction for later. The legacy two-part editor remains available for free with no usage limits.

Paid plans unlock unlimited in-place editing, speech-to-text, an ad-free experience, and a Microsoft Word add-on for Windows. Behnevis also links to custom OpenAI GPT chatbots for Persian conversation practice.

The Taia platform revolutionizes translation project management, offering a centralized hub for seamless collaboration, precise control over project timelines, and professional language services. Say goodbye to cumbersome email exchanges; the platform operates 24/7, allowing real-time project submissions, instant quotes, and status updates at a glance. Organize tasks with ease, customize delivery dates, and ensure quality translations catered to your industry needs. Benefit from an intuitive interface, multi-user access, and granular user rights control – all designed to enhance productivity and save you time.

Taia goes beyond basic project management by integrating translation memory, shared glossaries, and style guides to maintain consistent terminology and brand voice across all languages. It supports both AI-driven workflows with in-house review and full professional translation services, allowing teams to choose the best approach per project. The platform includes a built-in CAT editor for reviewing and polishing translations, task assignment with deadlines, and cost tracking per team or project for budget transparency. An API enables automation and integration with CMS and development pipelines, supporting complex workflows and large-scale localization efforts.