Free
$0Free plan available.
Lingostar is an AI-powered language learning platform that helps users reach fluency through real back-and-forth conversations in English, Spanish, or French about any topic. Users can chat with the AI using voice or text, eliminating the need for expensive tutors or awkward chats with strangers. Lingostar provides personalized study plans to help learners improve their pronunciation, vocabulary, and comprehension.
Users can chat with the Lingostar AI in English, Spanish, or French via voice or text. The AI provides feedback, corrects mistakes, and helps build vocabulary. A personalized study plan tracks progress and identifies areas for improvement.
Yes. Lingostar uses advanced Natural Language Processing (NLP) technology to facilitate conversations.
No, you can chat as much as you like. We encourage students to revisit topics to track their progress, as the AI provides unique responses in every interaction.
Occasional irregularities can occur with AI, just as they might in human conversation. If you encounter an issue, please leave a comment so our engineers can review it and continue improving the platform.
Not currently, but we aim to introduce this feature in the future. We encourage you to share Lingostar with others as we work toward connecting learners with both AI and fellow language students worldwide.
Our mission is to help language learners achieve fluency by providing accessible conversational immersion. We aim to remove the barriers of cost, scheduling, and the discomfort of traditional language exchanges, helping users overcome language obstacles to reach their personal and professional goals.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Lingostar.
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.
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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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