Free
$0Free plan available.
Ethertext is an AI clipboard that enhances productivity with AI-driven text editing. It allows users to copy, transform, and paste text using various AI-powered features. Ethertext supports integration with OpenAI, Google Gemini, Anthropic, and Ollama for local AI model support. It offers features like one-click text transformations, customizable tone and style, code debugging and translation, and text memorization and recall.
1. Copy text to your clipboard (⌘C). 2. Select a transformation option from the Ethertext dropdown menu. 3. Paste the transformed text (⌘V). Alternatively, use keyboard shortcuts: ⌘⇧T to clean text, ⌘⇧M to memorize text, ⌘⇧D to dictate and transcribe voice, ⌘⇧S to capture screen text, and ⌘⇧R to recall past text.
Ethertext supports OpenAI, Google Gemini, Anthropic, and Ollama for local AI model integration.
Key features include one-click text transformations, customizable tone and style, code debugging and translation, text memorization and recall, voice dictation and transcription, and screenshot text capture.
Ethertext requires macOS 13 or later.
You can add your API keys within the Settings menu, where links to obtain keys for each service are provided.
Install Ollama and download your preferred AI models, then enable Ollama support in the Settings menu to select your model.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Ethertext.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash 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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