Dot Copilot

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Introduction: Dot Copilot is an AI-powered assistant for Android and iPhone that leverages ChatGPT to analyze text and images on your screen. It assists with tasks such as scheduling events, managing to-do lists, drafting message replies, translating on-screen content, summarizing web pages, and tracking expenses via Google Sheets integration.

Dot Copilot Product Information

What is Dot Copilot?

Dot Copilot is an AI assistant for Android and iPhone that uses ChatGPT to recognize text and image content on your screen. It helps users add events, create to-do lists, reply to messages, translate images and on-screen text, summarize web pages and screen content, and track monthly income and expenses with Google Sheets integration.

How to use Dot Copilot?

With a single tap, you can use ChatGPT to analyze text and images on your screen. The app assists you in adding events, creating to-do lists, replying to messages, translating on-screen text, summarizing web content, and tracking your monthly income and expenses through Google Sheets integration.

Dot Copilot's Core Features

  • Expense Tracker
  • Creating calendar event
  • Translation
  • Social Media Engagement
  • Chat Assistance
  • Web Summarization
  • Task Management
  • Custom Command or Action

Dot Copilot Use Cases

#1 Extract expense data from text or receipts and sync it to Google Sheets.
#2 Extract schedule details from chats and add them to your calendar.
#3 Translate on-screen text or messages from international contacts.
#4 Generate engaging comments for Reddit, LinkedIn, X (Twitter), and Facebook.
#5 Get assistance replying to chats on WhatsApp, Telegram, Line, and other platforms.
#6 Summarize web page content quickly and efficiently.
#7 Extract to-do items from chats or screenshots and add them to your reminders.
#8 Create custom actions tailored to your specific needs.

FAQ from Dot Copilot

What is Dot Copilot? +

Dot Copilot is an AI assistant for Android and iPhone that uses ChatGPT to analyze text and images on your screen to assist with various tasks.

How does Dot Copilot protect my privacy? +

The website does not provide specific details regarding privacy protection. Please refer to the official Android and iOS privacy policies for more information.

Can I use Dot Copilot offline? +

The website does not specify if Dot Copilot functions offline; it likely requires an active internet connection.

How accurate is Dot Copilot's visual comprehension? +

Visual comprehension accuracy varies by subscription plan, with the Ultimate plan offering superior performance.

Can I switch between plans? +

The website does not provide information regarding switching between subscription plans.

Is Dot Copilot available for iOS? +

Yes, Dot Copilot is available for iOS.

Why do I need to pay for this software? +

While not explicitly stated, payment is likely required to cover AI model usage, development, and ongoing support costs.

Can I try Dot Copilot for free? +

Yes, a free plan is available with limited features and usage.

How do I get in touch with your team? +

You can contact the support team via email at help@dotcopilot.ai.

Dot Copilot Pricing

Free

$0

Free plan available.

Related Model Comparison Pages

Use these comparison pages to understand the trade-offs between the models most relevant to Dot Copilot.

Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

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