Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Struct2AI: Converts local folder structures and GitHub repositories into structured AI prompt context and summaries. Struct2AI records 1,358 monthly visits with +16.5% month-over-month growth and Free Trial pricing. Zread records 143,435 monthly visits with -18.4% growth and freemium pricing.

Give your AI assistant real context by sharing project structure and file contents in one click
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | structai.in | zread.ai |
| Pricing Model | Free Trial | freemium |
| Monthly Visits | 1.36K (1,358) | 143.44K (143,435) |
| MoM Traffic Delta | +192 (+16.5%) | -32.26K (-18.4%) |
| Primary Market & Share | 🇮🇳 India (100%) | 🇨🇳 China (77.2%) |
| Direct Visits / mo | 525 | 111.64K |
| User Rating | 3.8 | 4.2 |
| Supported Platforms | Website | Website |

Give your AI assistant real context by sharing project structure and file contents in one click
Scan a local folder or fetch a repository structure from GitHub in seconds, including private repositories, and view it as a clear tree before exporting.
Pick specific files and merge their contents into one block, or copy the whole folder tree in a single click.
Output is formatted so it drops cleanly into ChatGPT, Claude and similar assistants, giving them an accurate picture of your codebase layout.
The site markets fast analysis of large project structures so the context-gathering step does not slow your workflow.
Turn any GitHub repository into a readable AI wiki
Zread reads a repository end to end and produces a structured wiki covering purpose, tech stack, folder layout, and key modules, so you never start from a blank README.
Board any unfamiliar project fast: Zread explains what each directory and file does and how the pieces connect, turning a sprawling codebase into a readable map.
Ask questions about a repository in natural language and get answers grounded in its actual code, useful for tracing logic, checking dependencies, or sanity-checking assumptions.
A Trending section publishes weekly deep-dive guides that unpack the repositories developers are most excited about and explain the engineering ideas behind them.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud

Auto-generates interactive documentation and chat wikis for public GitHub repositories with a very similar workflow.
Auto-generates interactive documentation and chat wikis for public GitHub repositories with a very similar workflow.

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