SchemaLLM
Overview
Generate LLM-optimized schema from blog posts - 100% local
Take control of your LLM outputs before you even hit "Send." SchemaLLM is designed for developers, prompt engineers, and data scientists who need precision. Whether you are preparing data for a RAG pipeline or training a fine-tuned model, SchemaLLM allows you to map webpage elements into clean, structured JSON or schema formats. Current Version: No-LLM Prototype This is an early-access prototype focused on the mapping and building phase. This version does not connect to external LLM APIs, ensuring 100% of your mapping logic stays local and private while we refine the UI/UX. Key Features: Visual Mapping: Select elements on any webpage and assign them to custom schema keys. Schema Builder: Create complex, nested structures ready for LLM consumption. Local-First: Your templates and maps are stored in your browser, not on our servers. Export Ready: Generate structured templates to use in your favorite LLM prompts. Why use SchemaLLM? LLMs are only as good as the data you give them. SchemaLLM helps you bridge the gap between messy web content and the structured data your models crave. How to Use It: - Pin the SchemaLLM extension to your toolbar. - Open the webpage containing the data you want to structure. - Open the extension and start mapping elements directly to your desired schema output!
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Details
- Version0.1.0
- UpdatedApril 6, 2026
- Offered bydariusdnu
- Size1.28MiB
- LanguagesEnglish (United States)
- Developer
Email
dariusdnu@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
SchemaLLM has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
SchemaLLM handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes