# Readray (formerly Lilys AI) vs Models.dev

Readray (formerly Lilys AI) records 967,113 monthly visits with -9.7% month-over-month growth and Freemium pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [Readray (formerly Lilys AI)](https://openaitools.app/tool/lilys-ai) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://lilys.ai | https://models.dev |
| Categories | AI Summarizer, AI Video Summarizer, AI PDF Summarizer, AI Youtube Summary | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Freemium | Free |
| Monthly Visits | 967,113 | 200,451 |
| MoM Growth Rate | -9.7% | -3.9% |
| Primary Market | South Korea | China |
| Direct Visits | 439,392 | 136,316 |
| Review Score | 4.3 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Readray (formerly Lilys AI)

Readray is the current name of the product that launched as Lilys AI. The website lilys.ai now redirects to readray.ai, where the same team ships a reading assistant built around a single idea: instead of you pasting text into a chat window, the tool reads whatever is on your screen with you and proactively surfaces what matters.

Source parsing is the core differentiator. Videos are analyzed down to individual scenes so on-screen slides and charts are captured as frames rather than lost to a transcript, and figures, tables, and equations inside papers are read with their layout intact. Every line of generated output carries a citation that jumps back to the original passage, so you can verify rather than trust.

The product ships as a Chrome extension, a Mac and Windows desktop app, an iOS and Android app, and an MCP server that connects your source library to ChatGPT, Claude, Gemini, and other assistants. Reports come in a short Key Points format or a longer Deep Research format depending on how much depth you need.

**Pricing & Plans:** Free to start, with paid plans for higher usage and team features; check the official pricing page for current tiers.

- **Scene-aware video parsing:** Videos are analyzed scene by scene, capturing frames of slides, charts, and code shown on screen — not just the spoken transcript.
- **Layout-preserving document reading:** Figures, tables, and equations in research papers and PDFs are parsed with their original structure so summaries reflect the real content.
- **Line-level citations:** Each line of AI output links to the exact source passage; clicking it jumps the viewer straight to that spot in the original.
- **Library synced over MCP:** Sources you read become a personal library that Claude, ChatGPT, Gemini and other MCP-compatible tools can query directly.
- **Agent with skills and memory:** An assistant that summarises, compares research gaps, sorts your library into folders, and remembers context across sessions.

**Strengths:** Parses videos scene by scene, so visuals and slides survive summarization; Every claim links back to a precise citation you can verify in one click; Works across extension, desktop, mobile, and an MCP server for other AI tools; Handles papers, PDFs, web pages, and videos in one consistent workflow

**Limitations:** The recent rebrand from Lilys AI means older guides and links may still use the previous name; Best value depends on living inside the extension or desktop app rather than the web alone

[Profile (Markdown)](https://openaitools.app/tool/lilys-ai.md)

## Models.dev

Models.dev exists to answer a very practical developer question: which model should I use, and what will it cost? The site organises every entry under a canonical identifier in the form provider/model, so the same model served by several providers can be compared directly rather than guessed at. Columns cover context window, maximum output, whether input and output are supported, reasoning, tool calling, structured output, temperature control, open versus closed weights, price per million tokens, and release and update dates.

Because model releases move fast, the catalogue is built to stay current, with sortable and searchable tables that let you scan by lab or provider and filter down to what matters. Entries include both closed flagship models and open-weight alternatives, making it useful for cost planning as well as capability research.

The project is open source and free to use, and it is intended to be consumed programmatically. Developers can pull the catalogue into their own tooling through a JSON API or a type-safe SDK, which makes it a practical backend for dashboards, routing logic, or internal cost calculators rather than just a reference page to browse.

**Pricing & Plans:** Models.dev is free and open source. It is a reference database, so the prices it lists are the per-million-token rates charged by the model providers themselves, not a fee for using the site.

- **Canonical model identifiers:** Every model uses a consistent provider/model format so the same model across providers can be compared directly.
- **Specification comparison:** Side-by-side context window, output limit, reasoning, tool calling, structured output, and temperature support.
- **Pricing transparency:** Input and output prices per million tokens listed alongside release and update dates.
- **Open and closed models:** Covers closed flagship APIs and open-weight models from many labs in one sortable catalogue.
- **Developer access:** Consume the catalogue through a JSON API or a type-safe SDK for your own tools and dashboards.

**Strengths:** Free and open source with no account required; Consistent canonical identifiers make cross-provider comparison reliable; Covers pricing, limits, and capabilities in one sortable table; Available as a JSON API and type-safe SDK for programmatic use

**Limitations:** It is a reference catalogue, not an inference or hosting service; Data quality depends on community and maintainer updates keeping pace with releases; Interface is aimed at developers and offers little guidance for non-technical users

[Profile (Markdown)](https://openaitools.app/tool/models-dev.md)

## Frequently Asked Questions

### How do Readray (formerly Lilys AI) and Models.dev compare in monthly traffic?

Readray (formerly Lilys AI) has 967,113 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Readray (formerly Lilys AI) has a month-over-month growth rate of -9.7%; Models.dev has -3.9%.

### How does pricing compare?

Readray (formerly Lilys AI): Freemium. Free to start, with paid plans for higher usage and team features; check the official pricing page for current tiers. Models.dev: Free. Models.dev is free and open source. It is a reference database, so the prices it lists are the per-million-token rates charged by the model providers themselves, not a fee for using the site.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Extremely capable general AI assistant for summarizing text and URLs, but lacks dedicated video timestamp extraction workflows. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [NoteGPT](https://openaitools.app/tool/notegpt) | 6,166,674 | -10.6% | Freemium | Excellent YouTube video and document summarization with timestamps, but lacks broader research paper management workflows. | [.md](https://openaitools.app/tool/notegpt.md) |
| 3 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | Much stronger academic paper search and scientific literature analysis, but less versatile for general YouTube video summaries. | [.md](https://openaitools.app/tool/scispace.md) |
| 4 | [Mindgrasp](https://openaitools.app/tool/mindgrasp) | 672,288 | -0.5% | Freemium, Free Trial | Stronger focus on turning study materials and videos into interactive quizzes and flashcards, but less standalone reading assistance. | [.md](https://openaitools.app/tool/mindgrasp.md) |
| 5 | [Mapify](https://openaitools.app/tool/mapify) | 491,737 | -10% | Freemium | Converts videos and documents into visual mind maps, but lacks traditional linear document reading assistance features. | [.md](https://openaitools.app/tool/mapify.md) |
| 6 | [Stork](https://openaitools.app/tool/stork) | 201,544 | +2.3% | Free | Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs. | [.md](https://openaitools.app/tool/stork.md) |
| 7 | [Scholarcy](https://openaitools.app/tool/scholarcy) | 195,058 | +4.6% | Freemium | Converts research papers into interactive flashcard summaries, but less optimized for general web page and video parsing. | [.md](https://openaitools.app/tool/scholarcy.md) |
| 8 | [TubeOnAI](https://openaitools.app/tool/tubeonai) | 118,333 | +10.7% | Freemium, Free Trial | Stronger focus on audio and video repurposing into concise summaries, but less capable at deep PDF academic analysis. | [.md](https://openaitools.app/tool/tubeonai.md) |
| 9 | [TLDR This](https://openaitools.app/tool/tldr-this) | 82,609 | -20.5% | Free | Free and fast article summarization, but lacks multimedia parsing for YouTube videos and deep academic PDF analysis. | [.md](https://openaitools.app/tool/tldr-this.md) |
| 10 | [InfraBase.ai](https://openaitools.app/tool/infrabase-ai) | 39,072 | -13.6% | Free | Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables. | [.md](https://openaitools.app/tool/infrabase-ai.md) |

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Source: https://openaitools.app/compare/lilys-ai-vs-models-dev

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)