Send AI ✓
Cut costs with AI-powered document processing.
Verdict
A quick read before you dig into the full page.
- Best if
- Cut costs with AI-powered document processing
- Skip if
- Complex configuration required
- Pick this when
- Document processing automation
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Overview
Send AI provides a document processing infrastructure that aims to streamline business workflow by automating document management tasks. The platform has capabilities to parse, classify, extract, validate, and export data from documents.
Users can train and configure their own AI models using Send AI's systems to extract information from documents and export it directly into their own systems.
To ensure accuracy, it allows users to apply custom validation logic in the process. The tool supports Optical Character Recognition (OCR) which transforms scanned images into readable text while retaining the original structure.
Data extraction using a custom language model trained on a small set is also offered, ensuring high accuracy of extracted entities. A unique feature included in the toolset is model training, which allows users to tailor language models to their specific needs and use cases.
This model training feature enables the recognition and extraction of specific entities from documents. Data export is optimised for user preferences, ensuring that exported entities match given data types with a validation feature called Type Checking.
Send AI allows users to stay in control of exported data through an easy-to-use interface, providing options for quick corrections and edits. The system learns from user's feedback resulting in continuous improvement of data exports.
It's designed to work across multiple sectors including Insurance, Retail, Transport & Logistics, and Government. Data security standards are prioritised, offering features like encryption, single-tenant storage, adherence to GDPR, and ISO/SOC2 infrastructure.
Access & connections
Where you can use Send AI.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Input
- API
- Image
- Text
Output
- Tabular
- API
- Text
Pros & cons
Pros
- Document processing automation
- Data parsing
- Data classification
- Data extraction
- Data validation
- Data export
- Custom validation logic
- Optical Character Recognition (OCR)
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- Preserves original text structure
- High accuracy on small datasets
- Language model training
- Tailor-made language models
- Entity recognition in documents
- Export optimization
- Type Checking validation
- User-friendly interface for quick corrections
- Continuous improvement from user feedback
- Supports multiple sectors
- High data security standards
- Data encryption
- Single-tenant storage
- GDPR compliance
- ISO/SOC2 infrastructure
- Reduction in errors and costs
- Document type detection
- Custom logic validation
- Data enrichment
- Fast corrections on exports
- Scanner to text capabilities
- Auto improvements on feedback
- Data extraction mode
Cons
- Limited training set size
- Type checking might be restrictive
- Complex configuration required
- Training models might be time-consuming
- Heavy reliance on user feedback
- Model personalisation might limit scalability
- Limited integration options
- Specific document types not supported
Show 2 more
- Manual corrections required
- Requires bespoke fine tuning
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