# Blueprint Intelligence Analyzer (`ntriqpro/blueprint-intelligence`) Actor AI-powered architectural blueprint analysis. Extract floor plans, structural elements, dimensions, rooms, materials, and more from construction and engineering drawings. - **URL**: https://apify.com/ntriqpro/blueprint-intelligence.md - **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community) - **Categories:** AI, Business, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $250.00 / 1,000 blueprint analyzeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Blueprint Intelligence Analyzer **AI-powered architectural blueprint analysis for automated document intelligence and construction data extraction.** Extract floor plans, structural elements, dimensions, rooms, materials, and annotations from architectural and engineering drawings using advanced AI vision. --- ### Features - **Document Classification**: Automatically identify blueprint types (floor plans, structural, electrical, plumbing, HVAC, site plans, elevations, sections, details) - **Room Detection**: Extract room names, estimated areas, and dimensions from floor plans - **Element Extraction**: Identify architectural and structural elements (walls, doors, windows, stairs, columns, pipes, wires, fixtures) - **Dimension Recognition**: Automatically detect and extract measurements and scales - **Text Annotation Parsing**: Extract all text labels, notes, and annotations from drawings - **Material Identification**: Recognize and list materials mentioned in blueprints - **Confidence Scoring**: Get reliability metrics for each analysis - **Batch Processing**: Process up to 10 blueprints per run --- ### Input ```json { "imageUrl": "https://example.com/blueprint.jpg", "imageUrls": [], "analysisDepth": "standard", "maxImages": 10 } ```` #### Parameters | Parameter | Type | Required | Description | Default | |-----------|------|----------|-------------|---------| | `imageUrl` | string | Optional | Single blueprint image URL | null | | `imageUrls` | array | Optional | Array of blueprint URLs (max 10) | \[] | | `analysisDepth` | enum | No | Analysis level: `quick`, `standard`, `detailed` | `"standard"` | | `maxImages` | integer | No | Maximum images to process (1-10) | 10 | **Note:** Provide at least one image via `imageUrl` or `imageUrls`. You can use both simultaneously; duplicates are automatically removed. *** ### Output Each blueprint analysis produces a dataset record: ```json { "imageUrl": "https://example.com/blueprint.jpg", "status": "success", "documentType": "floor_plan", "title": "Building A - Level 2", "scale": "1:100", "rooms": [ { "name": "Living Room", "area_sqft": 250, "dimensions": "20' x 12.5'" } ], "elements": [ { "elementType": "door", "count": 5, "details": "Interior doors with swing direction" } ], "dimensions": [ { "label": "Room Width", "value": "20", "unit": "feet" } ], "textAnnotations": [ "Property line", "Setback: 25 ft" ], "materials": [ "Concrete", "Steel reinforcement" ], "confidence": 0.92, "model": "Qwen2.5-VL", "processingTimeMs": 2500 } ``` #### Output Fields | Field | Type | Description | |-------|------|-------------| | `imageUrl` | string | Original blueprint image URL | | `status` | string | `"success"` or `"error"` | | `documentType` | string | Blueprint classification | | `title` | string | null | Drawing title if visible | | `scale` | string | null | Drawing scale (e.g., "1:100") | | `rooms` | array | Detected rooms/spaces with area and dimensions | | `elements` | array | Architectural elements found | | `dimensions` | array | Measurements and scales detected | | `textAnnotations` | array | Text labels and annotations | | `materials` | array | Materials mentioned in drawing | | `confidence` | number | Analysis confidence (0.0-1.0) | | `model` | string | AI model name | | `processingTimeMs` | integer | Processing time | | `error` | string | Error message (on failure) | | `code` | string | Error code: `INVALID_INPUT`, `INVALID_URL`, `TIMEOUT`, `API_ERROR`, `PROCESSING_ERROR` | *** ### Pricing - **$0.25 per blueprint analyzed** (success only) - Errors and invalid images are not charged - Batch discounts not available (PPE model) *** ### Examples #### Single Blueprint Analysis ```bash curl -X POST https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs \ -H "Authorization: Bearer YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "imageUrl": "https://images.adsttc.com/media/images/5a4b/3e4b/b22e/38be/9300/0032/large_jpg/PLANS-01.jpg" }' ``` #### Batch Processing Multiple Blueprints ```bash curl -X POST https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs \ -H "Authorization: Bearer YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "imageUrls": [ "https://example.com/floor-plan-1.jpg", "https://example.com/floor-plan-2.jpg", "https://example.com/electrical-plan.jpg" ], "analysisDepth": "detailed", "maxImages": 10 }' ``` #### Using the JavaScript SDK ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('YOUR_ACTOR_ID').call({ imageUrl: 'https://example.com/blueprint.jpg', analysisDepth: 'standard', }); const results = await client.dataset(run.defaultDatasetId).listItems(); console.log(results.items); ``` *** ### Use Cases 1. **Construction Project Management**: Automatically catalog and extract data from project blueprints 2. **Real Estate Analysis**: Extract room counts, dimensions, and property layouts 3. **Building Information Modeling (BIM)**: Feed extracted data into BIM systems 4. **Compliance Verification**: Extract regulatory markings and construction notes 5. **Cost Estimation**: Get detailed element counts and dimensions for material quotes 6. **Property Valuation**: Analyze building layouts and room dimensions 7. **Renovation Planning**: Extract existing structural elements for renovation designs 8. **Facility Management**: Index and retrieve building information from drawings *** ### Supported Blueprint Types - **Floor Plans** — Residential, commercial, industrial building layouts - **Structural Drawings** — Load-bearing walls, columns, beams, foundations - **Electrical Plans** — Power distribution, outlet locations, circuit layouts - **Plumbing Diagrams** — Water lines, fixtures, drainage systems - **HVAC Schematics** — Ductwork, equipment, air handling systems - **Site Plans** — Property boundaries, landscaping, access points - **Elevations** — Building facades and exterior views - **Cross-Sections** — Internal building profiles and details - **Detail Drawings** — Construction connection and assembly details - **Other Diagrams** — Any architectural or engineering drawings *** ### Limitations & Accuracy - **Image Quality**: Analysis accuracy depends on blueprint image resolution and clarity - **Hand-Drawn Drawings**: Legibility may vary for hand-sketched or aged prints - **Complex Symbols**: Non-standard or custom symbols may not be recognized - **Text Extraction**: Small or stylized text may be missed - **Dimension Accuracy**: Extracted dimensions should be verified against original documents - **Dense Drawings**: Very complex drawings with many elements may have reduced accuracy **Confidence Scores**: Use the `confidence` field (0.0-1.0) to gauge analysis reliability. Scores below 0.7 indicate less certain results. *** ### AI Model - **Model**: Qwen2.5-VL (7B parameters) - **Processing**: Local AI server (no cloud storage of blueprints) - **Response Time**: 2-10 seconds per image (typical) *** ### Legal Notice #### Copyright & Ownership (IMPORTANT) - Architectural blueprints and engineering drawings are protected by copyright law (U.S. Architectural Works Copyright Protection Act, 1990). - You may ONLY upload blueprints that you: (a) Own or created yourself (b) Have explicit written permission from the copyright holder to analyze (c) Are licensed to use for this purpose - Uploading third-party blueprints without authorization may constitute copyright infringement. - We assume no liability for unauthorized use of copyrighted architectural works. #### Confidential & Trade Secret Documents - Do NOT upload blueprints marked as "Confidential," "Proprietary," or "Trade Secret." - Unauthorized analysis of confidential blueprints may violate trade secret laws and result in significant legal liability for the user. - We do not verify the confidentiality status of uploaded documents. #### Not an Engineering Tool - This tool provides AI-assisted analysis for INFORMATIONAL PURPOSES ONLY. - Results are NOT a substitute for professional architectural or structural engineering review. - Do NOT use extracted dimensions, measurements, or structural data for construction, renovation, or engineering decisions without professional verification. - Errors in AI-extracted measurements could lead to structural failures, safety hazards, or code violations. #### Liability - The developer assumes no liability for errors, omissions, or decisions based on this tool's output. - Users must verify all extracted data with qualified architects, engineers, or licensed contractors. - This tool does not provide structural analysis, load calculations, building code compliance, or safety certifications. #### Data Processing - Blueprint images are processed on our local AI server and immediately discarded. - We do not retain, share, or use uploaded blueprints for any purpose beyond the requested analysis. - For confidential projects, consider using our service only with proper authorization from all stakeholders. *** ### Error Handling | Error Code | Cause | Resolution | |-----------|-------|------------| | `INVALID_INPUT` | URL is null or not a string | Provide valid `imageUrl` or `imageUrls` | | `INVALID_URL` | URL format is invalid | Ensure URL starts with `http://` or `https://` | | `TIMEOUT` | AI service took too long (>60s) | Try again or use lower `analysisDepth` | | `API_ERROR` | AI service returned error | Check image accessibility and try again | | `PROCESSING_ERROR` | Unexpected error during analysis | Check logs; image may not be a blueprint | *** ### Support & Feedback For issues, suggestions, or feature requests, contact the development team through Apify. *** ### Changelog #### v1.0.0 (Initial Release) - ✅ Blueprint document type classification - ✅ Room and space detection - ✅ Architectural element extraction - ✅ Dimension and measurement recognition - ✅ Text annotation parsing - ✅ Material identification - ✅ Batch processing (up to 10 images) - ✅ Confidence scoring - ✅ PPE pricing model ($0.25/analysis) *** *Last Updated: 2026-03-30* *AI Model: Qwen2.5-VL v7B* *Processing Server: ai.ntriq.co.kr* # Actor input Schema ## `imageUrl` (type: `string`): Single blueprint image URL ## `imageUrls` (type: `array`): Array of blueprint image URLs (max 10) ## `analysisDepth` (type: `string`): Level of detail: quick, standard, or detailed ## Actor input object example ```json { "imageUrl": "https://images.adsttc.com/media/images/5a4b/3e4b/b22e/38be/9300/0032/large_jpg/PLANS-01.jpg", "analysisDepth": "standard" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "imageUrl": "https://images.adsttc.com/media/images/5a4b/3e4b/b22e/38be/9300/0032/large_jpg/PLANS-01.jpg", "analysisDepth": "standard" }; // Run the Actor and wait for it to finish const run = await client.actor("ntriqpro/blueprint-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "imageUrl": "https://images.adsttc.com/media/images/5a4b/3e4b/b22e/38be/9300/0032/large_jpg/PLANS-01.jpg", "analysisDepth": "standard", } # Run the Actor and wait for it to finish run = client.actor("ntriqpro/blueprint-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "imageUrl": "https://images.adsttc.com/media/images/5a4b/3e4b/b22e/38be/9300/0032/large_jpg/PLANS-01.jpg", "analysisDepth": "standard" }' | apify call ntriqpro/blueprint-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ntriqpro/blueprint-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Blueprint Intelligence Analyzer", "description": "AI-powered architectural blueprint analysis. Extract floor plans, structural elements, dimensions, rooms, materials, and more from construction and engineering drawings.", "version": "1.0", "x-build-id": "esCbayDZOURaSzyQb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ntriqpro~blueprint-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ntriqpro-blueprint-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ntriqpro~blueprint-intelligence/runs": { "post": { "operationId": "runs-sync-ntriqpro-blueprint-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ntriqpro~blueprint-intelligence/run-sync": { "post": { "operationId": "run-sync-ntriqpro-blueprint-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "imageUrl": { "title": "Blueprint Image URL", "type": "string", "description": "Single blueprint image URL" }, "imageUrls": { "title": "Blueprint Image URLs", "maxItems": 10, "type": "array", "description": "Array of blueprint image URLs (max 10)", "items": { "type": "string" } }, "analysisDepth": { "title": "Analysis Depth", "enum": [ "quick", "standard", "detailed" ], "type": "string", "description": "Level of detail: quick, standard, or detailed" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```