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| title: pid-parser | |
| emoji: 🛠️ | |
| colorFrom: green | |
| colorTo: gray | |
| sdk: static | |
| pinned: false | |
| license: cc-by-sa-4.0 | |
| short_description: "Your P&ID drawing, now data you can ask" | |
| # pid-parser showcase | |
| Turn a P&ID drawing into data you can ask: SQL tables and a graph that people and AI agents can query. A vision model finds the symbols, and traditional computer vision (thresholding and connected-component labeling) finds the connections. | |
| Precomputed results of [pid-parser](https://github.com/dzakybd/pid-parser) on one very dense P&ID sheet (190 symbols, 732 connected pairs), run two ways, the skill on Claude Sonnet 5.5 and the Deep Agents runner on gpt-6-luna. Each run shows the drawing with the symbols found, the graph, the tables, and the SQL, CSV, GraphML and Cypher exports. The page calls no model. | |
| Two versions: a skill for coding agents (`npx skills add dzakybd/pid-parser`) and a LangChain Deep Agents version for your own agent workflow. How it works, step by step: [the write-up](https://dzaky.ai.id/en/blog/pid-parser-pid-to-graph). | |
| Drawing: sheet 269 of the "Dataset PID" part of [PID2Graph](https://zenodo.org/records/14803338) ([paper](https://arxiv.org/abs/2411.13929)), CC BY-SA 4.0. The drawings and the outputs derived from them are shared under CC BY-SA 4.0. The pid-parser code is MIT licensed. | |