Quin is an AI tool designed to analyze text for sentiment, keywords, and themes, offering valuable insights for businesses and individuals. It provides fast and accurate text analysis to help users make data-driven decisions.
"AI-Powered Text Analysis Made Simple"
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Upvotes | 0 | 242 | 3,280 | 792 |
Avg. Rating | N/A | 5.0 | 4.7 | 4.7 |
Slogan | AI-Powered Text Analysis Made Simple | Start building with Gemini: the fastest way to experiment and create with Google's latest AI models. | Your AI assistant for conversation, research, and productivity—now with apps and advanced voice features. | Your everyday Google AI assistant for creativity, research, and productivity |
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Pricing Model | Free | Free Pay-per-Use | Freemium Enterprise | Freemium Pay-per-Use Enterprise |
Pricing Details | Quin offers a variety of subscription plans tailored to different user needs, with options for individuals, small businesses, and enterprises. Pricing is based on usage and features offered. | Google AI Studio is completely free for interactive usage. Pay-per-Use pricing applies for higher API usage, advanced features, and when integrating via the Gemini API or enabling Cloud Billing. No subscription or enterprise plans are currently listed for AI Studio itself. | Free tier, Plus at $20/month, Team at $25–30/user/month, Pro at $200/month, Enterprise custom-priced | Free tier via AI Studio and Gemini API; Pay-per-Use: $1.25–$2.50 per million input tokens, $10–$15 per million output tokens; Google AI Pro subscription at $19.99/month, AI Ultra at $249.99/month; Workspace (Business/Enterprise): $8.40–$45/user/month all-included. |
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Target Audience | Business Executives, Entrepreneurs, Marketing Professionals, Scientists | Software Developers, Scientists, Product Managers, Entrepreneurs, Educators, Students, AI Enthusiasts, Content Creators | AI Enthusiasts, Software Developers, Content Creators, Marketing Professionals, Product Managers, Entrepreneurs, Educators, Students, Remote Workers, Customer Service, Scientists, Financial Experts, Business Executives | AI Enthusiasts, Software Developers, Scientists, Content Creators, Marketing Professionals, Product Managers, Entrepreneurs, Educators, Students, Business Executives |
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Use this page as a starting point to evaluate Quin alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
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Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to Quin and the broader ecosystem over time.
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Quin meters activity so invoices mirror real adoption instead of seat assumptions. Experiments can scale without renegotiating budgets every quarter. Usage-based billing keeps costs aligned with real adoption.
Quin remembers previous conversations to provide consistent, context-aware responses. Currently optimized for Web App.
Real-time translation keeps multilingual teams aligned without delays. Currently optimized for Web App.
SDKs (e.g., Python and JavaScript/TypeScript) help dev teams launch prototypes quickly.
Trigger-based flows keep work moving without extra check-ins. Automation handles the repetitive work so teams can focus on strategy.
Decision-makers get real-time context without waiting on manual reporting. Analytics and reporting surface the metrics needed to act quickly.
Quin helps businesses expand into new markets by localizing content quickly.
Operations teams rely on Quin to orchestrate tasks across departments. Automation handles the repetitive work so teams can focus on strategy.
Analysts use Quin to assemble data, explore patterns, and publish findings faster. Analytics and reporting surface the metrics needed to act quickly.
Quin offers a variety of subscription plans tailored to different user needs, with options for individuals, small businesses, and enterprises. Pricing is based on usage and features offered.
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
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