Tokencountv1.0.2

Writers and editors use TokenCount to track word counts, estimate token usage for AI-assisted writing tools, and compare drafts to ensure content fits within platform limits like social media posts or article submissions.

Researchers analyze text data by counting words and sentences, estimating token costs for processing with large language models, and comparing documents to identify unique vocabulary in literature reviews or datasets.

Developers use TokenCount to check code documentation length, estimate token budgets for AI code generation tools, and compare file versions to track changes in technical specifications or README files.

Marketers analyze content for word frequency to optimize SEO keywords, estimate token costs for AI-generated ad copy, and compare campaign drafts to ensure consistency and length compliance across channels.

Offer a free basic version for individual users with limited features, and charge for premium tiers with advanced analytics, API access, and team collaboration tools. Revenue comes from monthly subscriptions.

Sell custom licenses to businesses for integration into their workflows, such as content management systems or AI platforms, with dedicated support and scalability options. Revenue is generated through one-time or annual contracts.

Provide the tool for free to drive traffic, then earn revenue through affiliate links to AI services like GPT models or by offering a paid API for developers to embed token counting into their applications.