Paste a GitHub URL or describe your system in plain English. OverViz analyzes the architecture and generates a clean, publication-ready diagram.
The Transformer architecture (encoder-decoder): 1. Input Embedding + Positional Encoding 2. Encoder - N blocks of Multi-Head Self-Attention and a Feed-Forward Network, each with Add & Norm 3. Decoder - Masked Self-Attention, cross-attention over the encoder output, and an FFN (×N) 4. Output - Linear → Softmax → probabilities
No design tools, no manual layout. Describe the system and download the result.
Paste a public GitHub repository URL, or write a short plain-English description of your architecture and tech stack.
The model identifies the components, frontends, services, APIs, databases, caches, and how they connect.
Pick a style, generate, and download a high-resolution PNG, ready for papers, docs, and presentations.
Describe your system and get a diagram in seconds.
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