--- title: "LLMFeeder vs plate" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jatinkrmalik-llmfeeder-vs-udecode-plate" tools: ["jatinkrmalik-llmfeeder", "udecode-plate"] --- # LLMFeeder vs plate *GraphCanon updated Aug 26, 2026* ## Verdict Pick LLMFeeder if lLMFeeder simplifies preparing web content for AI models by converting it to Markdown with one click; pick plate if plate is a TypeScript-based rich-text editor that combines Slate's contenteditable interfaces with ShadCN UI components and integrates AI functionalities. [LLMFeeder](https://llmfeeder.fyi) reports 451 GitHub stars, 54 forks, and 10 open issues, last pushed Aug 2, 2026. [plate](https://platejs.org) has 17k stars, 996 forks, and 17 open issues, last pushed Aug 24, 2026. Figures are from public GitHub metadata via [LLMFeeder's repository](https://github.com/jatinkrmalik/LLMFeeder) and [plate's repository](https://github.com/udecode/plate). | | [LLMFeeder](/tools/jatinkrmalik-llmfeeder.md) | [plate](/tools/udecode-plate.md) | | --- | --- | --- | | Tagline | Browser extension for converting web pages to clean Markdown | Rich-text editor with AI and shadcn/ui | | Stars | 451 | 16,531 | | Forks | 54 | 996 | | Open issues | 10 | 17 | | Language | JavaScript | TypeScript | | Adopt for | LLMFeeder simplifies preparing web content for AI models by converting it to Markdown with one click. | plate is a TypeScript-based rich-text editor that combines Slate's contenteditable interfaces with ShadCN UI components and integrates AI functionalities. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Developer Tools, Model Training | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LLMFeeder](/tools/jatinkrmalik-llmfeeder.md) | [plate](/tools/udecode-plate.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 9d | 1d | | Open issues (now) | 10 | 17 | | Stars delta | Unknown | +85 (30d) | | Open issues delta | Unknown | +3 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/jatinkrmalik-llmfeeder/trust.md) | [trust report](/tools/udecode-plate/trust.md) | ## Decision facts: LLMFeeder - **Adopt for:** LLMFeeder simplifies preparing web content for AI models by converting it to Markdown with one click. ## Decision facts: plate - **Adopt for:** plate is a TypeScript-based rich-text editor that combines Slate's contenteditable interfaces with ShadCN UI components and integrates AI functionalities. ## Choose when ### Choose LLMFeeder if… - LLMFeeder is primarily JavaScript; plate is TypeScript. - License: LLMFeeder is MIT, plate is Other. - Tags unique to LLMFeeder: automation, browser-extension, llm, markdown. - Also covers Model Training. - When you need quick, clean markdown from webpages for use in AI language models ### Choose plate if… - plate is primarily TypeScript; LLMFeeder is JavaScript. - License: plate is Other, LLMFeeder is MIT. - Tags unique to plate: mcp, react, shadcn-ui, slate. - You need to integrate rich text editing capabilities with an emphasis on modern, sleek design provided by ShadCN components. ## When NOT to use LLMFeeder - For pages needing complex formatting retention since Markdown conversion strips style - If real-time interaction with webpage content is required post-conversion, as it copies plain text only ## When NOT to use plate - If your project is not based on React, as plate deeply integrates with the React ecosystem and its suite of tools like Slate. - When you seek a tool that does not require ShadCN UI components, as plate tightly couples these for its user interface design. ## Common questions ### What is the difference between LLMFeeder and plate? LLMFeeder: Browser extension for converting web pages to clean Markdown. plate: Rich-text editor with AI and shadcn/ui. See the comparison table for live GitHub stats and shared categories. ### When should I choose LLMFeeder over plate? Choose LLMFeeder over plate when LLMFeeder is primarily JavaScript; plate is TypeScript; License: LLMFeeder is MIT, plate is Other; Tags unique to LLMFeeder: automation, browser-extension, llm, markdown; Also covers Model Training; When you need quick, clean markdown from webpages for use in AI language models. ### When should I choose plate over LLMFeeder? Choose plate over LLMFeeder when plate is primarily TypeScript; LLMFeeder is JavaScript; License: plate is Other, LLMFeeder is MIT; Tags unique to plate: mcp, react, shadcn-ui, slate; You need to integrate rich text editing capabilities with an emphasis on modern, sleek design provided by ShadCN components. ### When should I avoid LLMFeeder? For pages needing complex formatting retention since Markdown conversion strips style If real-time interaction with webpage content is required post-conversion, as it copies plain text only ### When should I avoid plate? If your project is not based on React, as plate deeply integrates with the React ecosystem and its suite of tools like Slate. When you seek a tool that does not require ShadCN UI components, as plate tightly couples these for its user interface design. ### Is LLMFeeder or plate more popular on GitHub? plate has more GitHub stars (16,531 vs 451). Stars measure visibility, not whether either tool fits your constraints. ### Are LLMFeeder and plate open source? Yes - both are open-source projects on GitHub (LLMFeeder: MIT, plate: Other). ### Where can I find alternatives to LLMFeeder or plate? GraphCanon lists graph-backed alternatives at [LLMFeeder alternatives](/tools/jatinkrmalik-llmfeeder/alternatives) and [plate alternatives](/tools/udecode-plate/alternatives) ([LLMFeeder markdown twin](/tools/jatinkrmalik-llmfeeder/alternatives.md), [plate markdown twin](/tools/udecode-plate/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/jatinkrmalik-llmfeeder-vs-udecode-plate.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LLMFeeder or plate? LLMFeeder: Active. plate: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for LLMFeeder and plate? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLMFeeder trust report](/tools/jatinkrmalik-llmfeeder/trust); [plate trust report](/tools/udecode-plate/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jatinkrmalik-llmfeeder`](/api/graphcanon/graph?tool=jatinkrmalik-llmfeeder) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_