Extraction MTO from scanned or image P&ID PDF

@Web1devloper

With more than 8 years of experience in crafting dynamic solutions, I am confident I can solve your P&ID challenge. My expertise with Node.js and Excel are a perfect match for this project's requirement. Automating the extraction will not only save you invaluable time but also provide a precise output effortlessly. Whether it is spotting, classifying, or exporting symbols straight into an Excel workbook; or capturing label, quantity, and specifications; my proficiency in computer vision and familiarity with AI technologies such as TensorFlow and OpenCV give me an edge. Working with different drafting styles won't be an issue as I can ensure my extraction script handles each with minimal manual retraining. I thoroughly understand the importance of reconciling line breaks during downstream pipe counts and assure you a precise flagging approach. Reproducibility is key, which is why I will provide you with a short read-me and sample code alongside the tidy columns Excel output for your convenience in future packages. Looking forward to discussing how we can turn your scanned or image P&ID PDFs into structured Material Take Offs!

@vishal1145

Your P&ID extraction will fail if the model cannot distinguish between similar valve symbols that differ only by a 15-degree rotation or if Tesseract misreads "2-IN-304SS" as "Z-1N-304SS" due to poor scan quality. Both errors compound across hundreds of symbols and destroy your MTO accuracy. Quick questions - what is the typical DPI of your scanned PDFs, and do your drawings follow a single standard like ISA or multiple client-specific symbol libraries? Here is the architectural approach: - OCR + IMAGE RECOGNITION: Build a YOLO-based object detection pipeline trained on P&ID symbol datasets, then apply Tesseract with preprocessing filters to extract alphanumeric tags and specifications from bounding boxes. - DATA EXTRACTION: Parse detected symbols into a validation layer that cross-references line numbers with connected components, flagging orphaned tags or specification breaks before Excel export. - NODE.JS AUTOMATION: Script a reproducible workflow using Sharp for image preprocessing, pdf-lib for page splitting, and ExcelJS for structured output with Drawing ID, Symbol Type, Tag, Quantity, Spec, and XY coordinates per row. I've built similar computer-vision pipelines for engineering firms processing 500+ technical drawings per month with 98% symbol accuracy. Let's schedule a 20-minute call to review a sample PDF and confirm your symbol taxonomy before I architect the detection model.

@kamran2012

Hello there, I will build a Python pipeline that ingests your flattened P&ID PDFs, detects every valve, pump, tee, instrument, and line break using a YOLO object detection model, then classifies each symbol and pairs it with its tag via Tesseract OCR. The final output: a structured Excel workbook with Drawing ID, Symbol Type, Tag/Name, Quantity, Specification, and bounding box coordinates for quick cross-checking. On a similar pipeline for process drawings, feeding OCR results back through a label proximity algorithm cut missed tags significantly compared to raw OCR alone. Questions: 1) How many distinct drafting styles (vendors or eras) are across your current P&ID set? 2) Do you have even a small labeled sample I could use for initial validation, or will I build the ground truth from your drawings? Looking forward to potentially working together. Thanks, Kamran

@koolvishruth

Hello, I am AI engineer from Bangalore having 7 years of experience in Image recognition, Image processing, automation.I will build solution for this using opencv. Lets connect through chat

@TeraByte26

Hi, I will deliver an Excel file with extracted valves, tees, and line numbers from P&ID PDF images. I commit to completing this within the 37500-75000 INR budget. Can I start with a sample PDF to begin extraction? Waiting for your response in chat! Best Regards.

@mahisha123

As a Virtual Assistant with over a decade of experience, I have honed my skills in the area of data processing, making me an ideal candidate to handle this project. My expertise and understanding of advanced MS Office suits, specifically Excel, allows me to navigate through structured material take-offs with precision and problem-solving ability. With my accurate data processing skills, I can swiftly analyze PDFs to recognize line breaks, symbol types, specifications, and more - key deliverables you specified for full project completion. Utilizing computer-vision or AI technology such as OpenCV and Tesseract, I guarantee not only the successful extraction of all relevant symbols but also a reproducible set-up that will save you time in re-training models for future projects. Over my career, I've successfully completed 100+ projects that required complex data analysis and deliverable presentation where attention to detail was paramount. Moreover, what sets me apart is not just my technical abilities. As an MBA graduate with a focus on HR & Marketing, I'm well-equipped to correlate your precise-project needs into valuable outputs. Though these data entries may seem minute in detail-oriented projects like this one, rest assured that nothing would be overlooked under my watch. It will be my pleasure to bring this high level of precision and dedication to your project and help you achieve your desired results efficiently.

@shivansh121

Hi, I can do it, I would like to discuss in detail, can you please ping and let's discuss and gets started. I have few question and would like to get it clarified, can you please initiate the discussion by pinging me in chat" waiting for your message, regards Shalu

@santoshkumars17

With my firm grasp on emerging technologies and over 5 years as a Full Stack Web and Mobile App Developer, I've honed my skills to perfectly position myself for your project. Familiarizing myself with Computer Vision tools like OpenCV, TensorFlow, and YOLO, I've developed a deep understanding of how they can be harnessed to recognise diverse symbols and accurately convert them into data. Rest assured, your P&ID PDFs with their different drafting styles won't require manual re-training. In terms of experience, I have proficiency in Node.js which is crucial for this task due to its efficiency in handling large files. Moreover, my prior work on projects involving API integrations and database management reflects positively on my ability to process data effectively while optimising their outputs. This, combined with my meticulous approach in ensuring outputs match the actual drawings, will ensure that line breaks are accurately identified and pipe counts reconcile correctly. By choosing me for this project, you're not only opting for clean and optimized code but also punctual delivery. My end-to-end development support ensures that we'll keep working until you're satisfied with the final product. Let's optimize these PDF images together into valuable structured data!

@shayankhan333

P&ID symbol extraction from scanned drawings is one of those problems where a pure OCR approach falls apart fast, especially with flattened PDFs where line numbers overlap instrument bubbles. The real challenge isn't detection, it's classification across different drafting styles without retraining. I'll build a pipeline using YOLO for symbol detection (valves, pumps, instruments, tees, line breaks) paired with Tesseract for tag/label extraction, then structure everything into your Excel format with Drawing ID, Symbol Type, Tag, Quantity, Spec, and bounding-box coordinates. The system will handle multiple P&IDs by using a flexible detection model trained on standard ISA symbology rather than hardcoded templates. One thing worth flagging: specification breaks and line-number associations are the trickiest part. Best regards, Shayan

@mahads31

I believe my extensive experience in transforming complex requirements into clean, scalable systems perfectly aligns with the task at hand. My expertise in Node.js and proficiency in Python will allow me to leverage the powerful capabilities of OpenCV, TensorFlow, and other vital tools you mentioned. I have frequently utilized computer vision and AI technologies delivering precise image analysis, pattern recognition, and object classification as needed for this project. Additionally, my broad skillset in Web & SaaS Development, Custom Software Systems design, and Data Mining can ensure the production of a tidy yet detailed Excel workbook that meets your criterion. I've aptly developed systems handling multiple drawing styles without manual retraining before; your workflow will be similarly well equipped for future packages. To maintain openness and transparency between us on the execution plan and for later reference, I'll deliver a comprehensive read-me file along with your expected Excel dataset. I deeply value long-term client relationships, so my work is founded on efficiency and reliability. Looking forward to working with you

@HussienSayed

Having tackled complex Data Analysis projects involving large datasets, automated processes, and OCR, I'm confident that my skills align perfectly with your project requirements. With a focus on extraction and automation, I have a comprehensive understanding of tools such as Tesseract and PyTorch, and have delivered impeccable results in similar domains. Additionally, my Full Stack Development experience with a proficiency in MERN Stack can greatly contribute to the reproducibility and efficiency of this project. My ability to optimize workflows and create clean, well-structured data frameworks will assure you accuracy and ease-of-use in the final Excel deliverable. As an assurance of my quality commitment, I'd be happy to provide you with a sample script to extract valuable information from one of your P&ID drawings. rest assured that your project will leverage state-of-the-art approaches while being mindfully adaptable to future needs.

@NEHABHAT92

As an enthusiastic individual with over 9+ years of hands-on experience in web and mobile development, I'm dedicated to providing high-quality IT services to turn your ideas into reality. While my primary skill set lies in Node.js, I also have extensive knowledge and practice with technologies like OpenCV and TensorFlow that you're looking for in this project. Using my expertise, we can create a robust and flexible computer-vision and AI-based system that not only effectively handles the extraction process but also supports multiple P&IDs with different drafting styles without any retraining. More than just extracting label/tag names, quantity, and specifications, we'll ensure that all the line breaks are properly flagged for accurate downstream pipe reconciliation. Post-delivery support is another aspect I hold great regard for. As such, I am willing to provide you free 3-months assistance for any issues or queries you may have after the project completion. Moreover, my services offer more than just programming; with cost-effective solutions, domain & hosting management, and even SEO services if required. My goal is not just to complete the task at hand but rather build a lasting relationship founded on quality and trust. Give me this opportunity to take your P&ID workflow to a new level of efficiency!

@srdank001

Hi there, The key challenge is combining symbol detection, OCR, line tracing, and specification-break recognition into one verifiable workflow. I have experience building Python and computer-vision pipelines using OpenCV, YOLO, OCR, and structured Excel exports for technical documents. I can create a reproducible solution that identifies valves, tees, pumps, instruments, line numbers, specifications, and line breaks, then records each item with its drawing ID, tag, quantity, specification, and coordinates. I’ll also include confidence checks, marked-up review images, reusable code, and a clear README. I’d be glad to review another sample P&IDs and define the best validation method before development. Thanks, Srdan

@jaroslavcaprata

Hi, You need an automated pipeline to convert flattened P&ID PDF images into a structured Material Take Off, including symbol detection, OCR extraction, specifications, and traceable references back to the original drawings. I would approach this as a computer vision workflow combining image preprocessing, OCR, and object detection. The system would first enhance and segment the scanned drawings, detect symbols such as valves, pumps, tees, instruments, and line breaks, then extract associated tags, line numbers, and specifications. The extracted data would be normalized and exported into an Excel format with coordinates or references for verification. For reliable results across different drafting styles, I would design the workflow with configurable detection models and validation steps rather than relying on manual adjustments for every drawing set. A hybrid approach using OCR plus trained detection models (for example YOLO/OpenCV-based detection where needed) is usually more practical for engineering drawings. I would also include a reproducible script structure and documentation so the process can be reused for future P&ID packages. Could you share a few sample P&ID PDFs from different drafting styles so I can evaluate the symbol complexity and determine the best recognition approach? Jaroslav Caprata

@rakhshanz3

As a seasoned professional with a strong academic background and nearly two decades of experience in computer science and artificial intelligence, I am uniquely positioned to bring your project to life. Having worked extensively with AI-driven solutions and technologies like OpenCV, Tesseract, TensorFlow, YOLO, I have practical knowledge in precisely the areas you need: Computer Vision and Image Processing. Throughout my career, I meticulously constructed advanced digital products leveraging AI at its core. These projects ranged from chatbots for lead qualification and voice agents for customer support to custom AI tools for data extraction and document processing. By incorporating deep learning algorithms into my work, I've been able to build systems which are not only reproducible but also capable of handling different drafting styles sans manual re-training. My excellence lies in delivering 100% accurate results while maintaining consistent quality across diverse datasets. Specifically, I have experience extracting data from PDFs similar to your P&ID documents and structuring it into customizable outputs. Leveraging the recognized symbols and their corresponding details from your drawings, I'll produce an easily understandable Excel workbook that matches your requirements exactly. Acing all the acceptance criteria while optimizing for

@smarketicsinc

A fully automated MTO system that transforms complex P&ID images into a precise, audit-ready Excel workbook without manual counting. I will implement a computer-vision pipeline specifically tuned to identify valves, tees, and line breaks, ensuring your pipe counts reconcile perfectly across different drafting styles. I'll handle the entire technical delivery: 1. Image preprocessing to normalize flattened PDFs and remove noise. 2. A custom object detection model to classify symbols and extract coordinates. 3. An OCR layer to map tags, sizes, and ratings directly into the structured Excel format you specified. You will receive a validated sample extraction of your first drawing within 72 hours to verify the 100% accuracy requirement before the full rollout. My approach focuses on generalized feature detection, meaning the system remains robust across varying styles without needing constant retraining. I will deliver a reproducible script and documentation so you can run future packages independently. Do you have a sample P&ID you can share so I can confirm the symbol complexity and refine the detection logic?