Description
🖼️ Tool Name:
Sensible.so
🔖 Tool Category:
AI-powered document extraction & automation platform; it falls under Business Docs Automation, Data Preparation & Cleaning, RPA & Task Automation, و Integrations & APIs.
✏️ What does this tool offer?
Sensible.so is an AI-driven Intelligent Document Processing (IDP) tool that extracts structured data from unstructured documents such as PDFs, contracts, bank statements, invoices, reports, and forms — without requiring manual labeling or templates.
⭐ What does the tool actually deliver based on user experience?
• Automated extraction of data from PDFs and images
• Understanding document structure (tables, sections, entities)
• Zero-template extraction — works with any layout
• Tools to parse financial statements, paystubs, tax docs, medical forms, etc.
• Auto-detection of fields, line items, and document patterns
• Built-in validation & quality checks
• JSON output ready for databases, apps, and workflows
• Dashboard to view, test, and refine document extraction
• Integration with APIs and low-code tools
• Scalable processing for enterprise-grade workloads
🤖 Does it include automation?
Yes — Sensible.so includes extensive automation capabilities:
• Auto-parsing of structured & unstructured docs
• Automated field detection using AI
• Auto-cleaning of extracted data
• Automatic validation rules
• API-based automation in workflows (Zapier, Make, custom pipelines)
• Scheduled bulk document processing
• Automatic updates when document formats change
💰 Pricing Model:
Usage-based + Subscription tiers
🆓 Free Plan Details:
• Limited document processing
• Access to core extraction models
• Testing environment
💳 Paid Plan Details:
• Higher or unlimited document limits
• Enterprise-grade extraction models
• Advanced field validation
• API integrations at scale
• Audit logs & team collaboration
• Custom SLAs
• On-prem or VPC hosting options
🧭 Access Method:
• Web App
• REST API
• Integrations with automation tools (Zapier, Make, n8n)
• Cloud-based deployment
🔗 Experience Link: