
Unstract
Automates data extraction from unstructured documents seamlessly.

Unstract is designed to automate the extraction of data from unstructured documents. This system eliminates the need for tedious manual data entry, allowing users to focus on more important tasks.
It efficiently processes various document types, including bank statements and insurance claims, ensuring accuracy without requiring manual annotations. By streamlining workflows, Unstract enhances the speed of data access and reduces errors in handling information. Organizations can integrate this solution into their existing processes to improve productivity and make quicker decisions.
Utilizing advanced Language Models, it supports effective document management and data analysis, making it suitable for finance, legal, and customer service applications.
- Automate claims processing
- Extract data from legal documents
- Process customer onboarding forms
- Analyze bank statements quickly
- Streamline document management workflows
- Enhance data extraction in finance
- Improve KYC compliance processes
- Facilitate insurance underwriting tasks
- Structure unstructured data for reporting
- Integrate document processing with existing systems
- No-code solution for unstructured data
- Supports various document formats
- Improves processing speed and accuracy
- Reduces manual workload significantly
- Open-source and flexible platform

Automated document processing for increased business efficiency.

Automates data processing and labeling for improved workflows

Create AI workflows easily and securely without coding skills.

Automated document processing for faster workflows and accurate data extraction.

Automates data management for construction projects efficiently.

Automated document processing for enhanced workflow efficiency.

Intelligent document processing for faster, accurate information management.
Product info
- About pricing: Free + from $499/m
- Main task: Data automation
- More Tasks
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Target Audience
Data Analysts Insurance Professionals Finance Teams IT Managers Business Analysts