The most complete tool for AI-powered tool for text, image and voice content creation through pre-trained templates. Try content generation for free.
Lokalise is a translation management system, which is designed to make the process of localization faster and easier. Our platform reduces manual work and routine tasks that appear while translating web and mobile apps, games, and other software.
With Lokalise you can: ✓ Translate your localization files (.xml, .strings, .json, .xliff, etc). ✓ Collaborate and manage all your software localization projects in one platform. ✓ Integrate translation into the development and deployment process. ✓ Set up automated workflows via API, use webhooks or integrate with other services (GitHub, Slack, JIRA, Sketch, etc). ✓ Add screenshots for automatic recognition and matching with the text strings in your projects. ✓ Upload Sketch artboards to Lokalise and allow translators to work before development starts. ✓ Preview in real-time how the translations will look like in your web or mobile app (iOS and Android SDK). ✓ Order professional translations from Lokalise translators or use machine translation.
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Generrate's answer
Generrate is a tool that helps companies automate their content creation through an artificial intelligence-based model used by millions of people. Specifically, Generrate helps you leverage pre-built and pre-trained templates to generate personalized content. In addition to existing templates, with Generrate you can generate content by feeding in your own prompts. This includes content creation for blogs, social networks and more.
Generrate's answer
Generrate is the most complete tool on the market :
We offer a wide range of templates that can cover all aspects of content creation for freelancers, copywriters, marketers, etc. This content creation is also facilitated by the existence of ready-made chatbots to help you, if need be, in a specific field. Also, in a context where the automation of content creation is taking on its full meaning with the advent of AI, the Chat PDF feature helps you make your work much more efficient while still being qualitative. On top of all this, the AI Voiceover feature helps content creators produce natural sounding voiceovers, all in a single tool.
Generrate's answer
We set out to create the most complete AI tool available, and here we are.
Based on our record, Lokalise seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm pretty sure, you'll find companies like this one which provide a nice GUI for helping with l10n or this one which offers translation services or this page that offers to convert between different formats, one of which probably has a nice GUI tool. Found them by 20 secs of googling. Source: 12 months ago
Localise has no problem reading the json files or export to json, we recently started using it in collaboration with external translators. Source: about 1 year ago
Actually I don't have "my" app. But in our app we use https://lokalise.com/ to localize it even to Norwegian. Our team is not the most expensive company in the world btw. And we don't have 1B+ users all over the world. Source: about 1 year ago
Internationalization (i18n) pain for a documentation project is a process problem, not a feature gap. Documentation frameworks are not meant to translate your developer docs for you into the language of your choice. Some frameworks might offer i18n support, like the Crowdin support in Docusauraus v2. With Jekyll, you have to pick a theme like this one. I doubt if the reST or adoc frameworks would differ much from... - Source: dev.to / over 1 year ago
I've been thinking about building a micro saas very similar to this after having so many issues coordinating the localization of several products I manage. The only robust options in the market are incredibly expensive (for example https://lokalise.com/). Source: almost 2 years ago
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