Machine Learning with OCR For Automated Document Indexing
iTech’s AI-powered document indexing system allows even the most complex document workloads to be automated. By leveraging machine learning-enhanced OCR, our system can identify what type of document it is looking at, where vital data points are stored, and what to do with them.
Key Features:
Intelligent Document Indexing
Automated Data Capture for Documents
Large-Format Image Automation
Materials List Identification
Intelligent Part, Piece, and Measurement Extraction
| Intelligent Document Indexing | Automatically identify, index, and organize text documents by type, making them fully searchable. |
| Automated Data Capture for Documents | Automatically capture relevant data points and organize them within your back-end data entry/capture software. |
| Large-Format Image Automation | Index scanned images like blueprints and engineering drawings using machine learning-paired OCR. |
| Materials List Identification | Identify materials lists on scanned images and store data to ensure every necessary material is accounted for before construction. |
| Intelligent Part, Piece, and Measurement Extraction | Identify part, piece, and measurement labels from any area within a drawing or blueprint with extreme accuracy, logging all information wherever you need it and making it fully-searchable. |
And that is just the beginning. Reach out to learn more about our automated document indexing services and get a free evaluation from our experts.
iTech provides AI-powered automated document indexing to rapidly identify and classify various document types, including text-based documents, blueprints, and engineering drawings. Our system can automatically index these documents based on client-specific rules or drawing legends, extracting multiple fields swiftly and accurately, outperforming traditional manual processes and standalone OCR solutions. It can also quickly learn where to find data points, what to do with them, and how to transform them into the desired output. This includes crawling large-format images with handwritten or overlaid text.
iTech OCR paired with AI enables iTech clients to access specific data points within drawings quickly. Architectural and engineering data often defy standard OCR rules, appearing in various orientations and formats, including handwritten notes. iTech excels in creating highly accurate, searchable documents from these complex sources.
iTech’s AI algorithms are designed specifically for large-format images, like blueprints and engineering drawings. Our models have been trained on millions of these documents, achieving near-perfect accuracy in reading and interpreting the data they contain. This allows us to add context to the OCR process, making it possible to handle complex and detailed drawings with ease.
Our technology can accurately identify and extract data from materials lists on blueprints and engineering drawings. By identifying and compiling all specified materials, we streamline the procurement process, reducing errors and ensuring that all necessary components are logged.
iTech’s advanced AI can isolate and identify individual parts, pieces, and precise measurements within complex drawings. This capability is invaluable for detailed project planning and execution, enabling precise fabrication and assembly processes.
Our automated document indexing services provide intelligent, fast data capture and indexing from a wide variety of document types relevant to different industries, including:
| Industry | Applications |
|---|---|
| Logistics |
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| Healthcare |
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| Municipalities |
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| Manufacturing |
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Follow up with us below if you need assistance indexing the above document types, or any others.
