AI Localizer is an advanced translation tool designed for developers to effortlessly localize their Xcode-built iOS or macOS apps into over 35 languages. This AI-powered solution automates the process of finding and translating all localizable text within an app, significantly reducing time and effort in the localization process.
AI Localizer - Easily Translate Your Project Code
Seamlessly add localized translations to your Xcode projects. Add up to 37 languages to your app automatically, using the power of AI.
Introduction
Feature
Effortless Localization
- Automatically detects all localizable text in your app
- Instant saving of changes in Xcode
Flexible Translation Options
- Choose from AI Translation, Microsoft Azure, Google Translate, or manual translation
- Export translations for human review and easy re-import
Comprehensive Xcode Support
- Compatible with SwiftUI, Storyboard, XIB, .strings, and .xcstrings formats
Streamlined Setup
- Automatic loading of all localizable resources from your Xcode project
Multi-Language Support
- Translate your macOS or iOS app into up to 37 languages
AI-Powered Translation
- Utilizes powerful AI Translation Service for project strings
- One-click saving of changes directly back to Xcode
Custom Translation Service Integration
- Configure to use your own Microsoft Azure or Google Translate accounts
Manual Translation Editing
- Edit translated strings directly within the app interface
FAQ
What languages does AI Localizer support?
AI Localizer supports over 35 languages for translating macOS and iOS applications.
Can I use my own translation service with AI Localizer?
Yes, AI Localizer allows configuration to use your personal Microsoft Azure or Google Translate service accounts.
Is manual editing of translations possible in AI Localizer?
Absolutely. You can easily edit translated strings directly within the app interface by simply clicking on the string and typing your changes.
Does AI Localizer support exporting translations for review?
Yes, AI Localizer offers the ability to export translations to CSV format for external review. After review, you can easily import any changes back into the app.
Latest Traffic Insights
Monthly Visits
226.16 K
Bounce Rate
45.56%
Pages Per Visit
2.15
Time on Site(s)
63.41
Global Rank
214596
Country Rank
United States 143014
Recent Visits
Traffic Sources
- Social Media:1.92%
- Paid Referrals:0.48%
- Email:0.08%
- Referrals:4.99%
- Search Engines:64.04%
- Direct:28.48%
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Automatically Apply for Jobs Using AI Imagine a world where you can apply for jobs with just a few clicks, powered by the intelligence of artificial intelligence. That's the promise of AI-powered job application tools. These tools can: * Scan your resume and identify relevant jobs: AI algorithms can analyze your skills and experience to match you with suitable opportunities. * Customize your cover letter for each application: Say goodbye to generic cover letters! AI can tailor your message to highlight the specific requirements of each job description. * Automate the application process: From filling out forms to submitting your documents, AI can handle the tedious tasks, saving you time and effort. * Track your applications and provide insights: Stay informed about the status of your applications and receive valuable feedback on your performance. By leveraging the power of AI, you can streamline your job search, increase your chances of getting noticed, and focus on what matters most: landing your dream job.
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* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.](https://static.right-ai.com/tools/2024/7/3/chromewebstore-google-com-detail-chatgpt-for-google-for-fr-pabeminldebomngnkgffiejipjjaaogi-thumbnail-1720037311.png "Get ChatGPT for Free with Google
You can now access ChatGPT, a powerful language model, for free with Google. Here's how:
Method 1: Google Colab
* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = \"Your input here\"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = \"Your input here\"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.")
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.How to Add ChatGPT to All Google Searches ===================================================== Step 1: Create a Custom Search Engine -------------------------------------- * Go to the [Google Custom Search Engine](https://cse.google.com/) website and sign in with your Google account. * Click on the "New Search Engine" button. * Fill in the required information, such as the name and description of your search engine. * Click on the "Create" button. Step 2: Add ChatGPT to the Search Engine ----------------------------------------- * In the "Setup" tab, click on the "Add" button next to "Sites to search". * Enter the following URL: `https://chat.openai.com/` * Click on the "Add" button. Step 3: Configure the Search Engine -------------------------------------- * In the "Setup" tab, click on the "Edit" button next to "Search engine keywords". * Add the following keywords: `ChatGPT` * Click on the "Save" button. Step 4: Get the Search Engine Code ------------------------------------- * In the "Setup" tab, click on the "Get code" button. * Copy the HTML code provided. Step 5: Add the Search Engine to Your Browser ------------------------------------------------ * Open your browser and go to the "Settings" or "Options" page. * Look for the "Search engine" or "Default search engine" option. * Click on the "Add" or "Manage search engines" button. * Paste the HTML code you copied earlier. * Click on the "Add" or "Save" button. You're Done! =============== Now, whenever you search on Google, ChatGPT will be included in the search results. You can also use the custom search engine URL provided by Google to search directly.
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Talk to a chatbot, ask questions, and get the exact information you need from YouTube videos, all without leaving YouTube!
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This extension changes the links for images and YouTube videos in ChatGPT or GPT messages into tags that show the images and videos directly.
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Seamlessly add localized translations to your Xcode projects. Add up to 37 languages to your app automatically, using the power of AI.
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Grow Your Twitter Account by Replying Using AI Are you tired of manually responding to tweets and struggling to grow your Twitter account? Do you want to increase your online presence and engage with your audience more efficiently? Look no further! This article will show you how to grow your Twitter account by replying using AI. What is AI-powered Twitter reply? AI-powered Twitter reply is a technology that uses artificial intelligence to automatically respond to tweets. This innovative tool analyzes the content of incoming tweets and generates a relevant response based on the context. With AI-powered Twitter reply, you can save time and effort while increasing your online engagement. Benefits of using AI-powered Twitter reply 1. Increased efficiency Manually responding to tweets can be time-consuming, especially if you have a large following. AI-powered Twitter reply automates the process, allowing you to focus on other important tasks. 2. Improved engagement AI-powered Twitter reply helps you respond to tweets quickly, which increases the chances of starting a conversation and building relationships with your followers. 3. Personalized responses AI-powered Twitter reply can be customized to fit your brand's voice and tone, ensuring that your responses are personalized and consistent. 4. Scalability As your Twitter account grows, AI-powered Twitter reply can handle a large volume of tweets, ensuring that you never miss a response. How to use AI-powered Twitter reply 1. Choose an AI-powered Twitter reply tool There are several AI-powered Twitter reply tools available, such as [Tool 1], [Tool 2], and [Tool 3]. Research and choose the one that best fits your needs. 2. Set up your AI-powered Twitter reply Once you've chosen a tool, set it up by connecting your Twitter account and customizing your responses. 3. Monitor and adjust Monitor your AI-powered Twitter reply's performance and adjust the settings as needed to ensure that your responses are relevant and engaging. Conclusion Growing your Twitter account requires consistent engagement and timely responses. AI-powered Twitter reply is a game-changer that can help you achieve this goal. By automating your responses, you can increase efficiency, improve engagement, and personalize your interactions. Try AI-powered Twitter reply today and watch your Twitter account thrive!
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