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Upload a work order and watch as Affinda instantly predicts the data fields you want to extract, helping you automate work order data extraction in just a few clicks.
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Affinda's AI reads your work orders with impressive contextual understanding. It splits and classifies documents, extracts and validates data, then transforms the output to match your business needs.
No manual data entry required. Affinda integrates seamlessly into your existing tech stack.
Upload a work order and watch as Affinda instantly predicts the data fields you want to extract, helping you automate work order data extraction in just a few clicks.
Affinda automatically converts extracted work order data into the format your maintenance or ERP system recognizes, ensuring it's ready for immediate use. Need something custom? Use natural language to describe how you want the data to appear.
Use natural language to write validation rules and apply your business logic to the data. This ensures the output meets your organization's requirements and enables straight-through work order processing.
Work order processing is the workflow organizations use to capture, validate and manage service and maintenance requests. Our AI work order processing software automates this entire process to reduce manual data entry, errors and turnaround times. It ensures that work orders are accurate, properly routed and recorded correctly in maintenance, ERP and service management systems.
Work order data extraction is the process of reading work orders and capturing key data such as work order numbers, dates, requesters, task details, approvals and reference numbers. Affinda's platform uses AI to automate work order data extraction, transforming unstructured service and maintenance documents into structured data that flows seamlessly into your maintenance, ERP and service management systems.
Work order extraction is the automatic capture of service and maintenance data from work orders using AI. Our work order extraction software combines reading order models, OCR, LLM, RAG and more to extract this information with high accuracy and faster processing times.
A work order parser is software that automatically reads and extracts data from work orders. It converts service and maintenance documents into structured, machine-readable formats. Our AI work order parser handles multi-page orders, grouped tasks and checkboxes with ease, learning from feedback to adapt to your specific formats before delivering data in exactly the structure your systems need.
Work order line extraction automatically captures task lists and service details from tables within your work orders, preserving the relationships between each line item. Our platform interprets this structured data with precision, maintaining connections between tasks, resources, parts and labor – even when work orders include grouped tasks, checkboxes or complex multi-level structures.
Affinda's AI work order processing platform can capture data from any field on a work order. Standard data fields include:
Need custom fields or a specific template? Simply define them in the UI or describe them in natural language and Affinda will extract and structure them automatically.
Our AI agents can process any file type. Supported file types include PDF, JPG/JPEG, PNG, TIFF, DOC/DOCX (Word), XLSX (Excel), HTML and TXT/CSV.
Affinda's AI agents read, extract and validate work order data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
The result? Faster, more accurate work order processing with minimal manual input.
Yes. Our AI work order processing platform combines OCR with retrieval augmented generation (RAG), LLMs, agentic workflows, proprietary reading order algorithms and more, to automatically detect and process data from scanned or photographed invoices (PDF, JPG, PNG). Even low-quality images are automatically enhanced for reliable data capture and processing.
Our AI work order processing platform can automatically detect and process work orders in 50+ languages, including multilingual work orders containing more than one language. Supported languages include: Afrikaans, Albanian, Amharic, Arabic (Standard, Egyptian, Sudanese, Algerian, Moroccan, Levantine), Bahasa Indonesian, Bengali, Bhojpuri, Bulgarian, Burmese, Chinese (Mandarin [PRC/Taiwan], Cantonese, Wu, Min Nan, Jinyu, Xiang, Hakka), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Italian, Japanese, Javanese, Kannada, Korean, Latvian, Lingala, Lithuanian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Odia, Persian (Farsi), Polish, Portuguese, Punjabi (Western and Eastern), Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Yoruba.
Yes. Our AI work order processing platform integrates with 400+ downstream systems, including major maintenance, ERP and service management platforms. You can create no-code integrations using our AI integrations agent, or build and host your own using our APIs – whatever works best for your workflow.
AI work order processing helps automate and streamline service and maintenance workflows across teams such as:
A work order optical character recognition (OCR) data extractor scans and accurately captures information from work orders, regardless of format or language. Upload work order documents in PDF, JPG or PNG formats. The OCR technology first converts the documents into a text layer, ensuring all text (even from scans, photos or handwritten notes) is captured. Affinda's AI models then identify and extract key fields such as work order numbers, dates, requesters, task descriptions, approvals and reference numbers, transforming them into structured, usable data.
This automation eliminates manual data entry, reduces errors and speeds up service workflows. Once the work order data is captured and structured, our AI work order processing pipeline can apply machine validation and post-processing to enable seamless integration with maintenance, ERP and service management systems.
Organizations in maintenance, field service, manufacturing and facilities management rely on Affinda's AI for their work order entry, scheduling and resource allocation processes, streamlining operations and improving overall efficiency.