- Finance & Accounting Teams: Automate invoice, receipt, and bank statement import with high accuracy.
- HR & Admin Departments: Digitize contracts, forms, and onboarding documents quickly.
- Healthcare & Insurance: Extract patient records, claims, and lab results for downstream systems.
- Legal & Compliance Teams: Parse clauses, dates, and parties on legal contracts.
- Logistics & Supply Chain: Process bills of lading, purchase/sales orders, and shipping documents.
- IT & Enterprise Ops: Integrate seamlessly into back-office systems via APIs.
🔧 How to Use IntelliParse?
- Connect Document Sources: Link sources such as email inboxes, file uploads, or FTP.
- Configure Intelligence: Use low-code rules and specify business logic or validation processes.
- Run the AI Agent: Automatically extract structured data—tables, text, metadata, images.
- Human-in-the-Loop Review: Flag inconsistencies or anomalies and confirm critical entries.
- Integrate & Automate: Send clean, validated data to systems like Salesforce, SAP, ServiceNow, or Google Sheets.
- True Multimodal Input: Supports PDFs, scans, forms, spreadsheets, audio/video, CAD—even messy layouts—with much higher understanding than legacy OCR
- Low-Code Workflow & HITL Override: Easily apply business rules and involve humans only when needed.
- Smart Learning: Continuously improves parsing accuracy from customer-specific examples.
- Real Time Validation: Flags anomalies and highlights missing fields before downstream use.
- Seamless System Integrations: Works with CRMs, ERPs, data lakes, and legacy systems for full automation.
- 80% efficiency gain in document handling—e.g., invoice processing dropped by 80% for some customers.
- Reduces manual input errors with AI validation assistance.
- Scales across industries and document types, offering true enterprise automation.
- Human-in-the-loop may still require oversight for unusual documents.
- May need initial setup to define rules and validation thresholds.
- Enterprise-grade features may not be necessary for small teams.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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