Bitskout screenshot

What is Bitskout?

Bitskout is an AI-powered data extraction tool designed to automate the capture and organisation of information from documents, forms, receipts, invoices, and other unstructured data sources. Rather than manually typing data from documents or emails, users define what information they need, and Bitskout's machine learning models extract and structure it automatically. The platform uses optical character recognition combined with artificial intelligence to understand document layouts and extract relevant fields, even when formatting varies. It's useful for businesses that process high volumes of documents: accounting teams handling invoices, HR departments managing applications, customer service teams extracting information from support documents, or research teams digitising data. Bitskout works in three main ways: through pre-built templates for common document types, by creating custom extraction rules visually, or via API for integration into larger workflows. The freemium pricing model means small teams or those testing the tool can start without cost, while organisations needing high-volume processing can upgrade to paid plans.

Key Features

AI-powered document data extraction from images and PDFs

Optical character recognition for digitising text from documents

Template-based extraction for common document types like invoices and receipts

Custom extraction rules without requiring code

Document classification to sort incoming documents by type

Batch processing for handling multiple documents at once

API access for integrating extraction into workflows

Email integration to extract data from attachments

Data validation to check extracted information for accuracy

Pros & Cons

Advantages

  • Significant time savings compared to manual data entry
  • Reduces errors from manual transcription and typing mistakes
  • Free tier available for testing and small-scale use
  • No coding required to set up extraction rules
  • Handles various document formats and layouts
  • Scalable for high-volume document processing
  • Easy integration with business workflows via API

Limitations

  • Accuracy can vary with poor-quality images or heavily stylised documents
  • Handwritten text extraction may require additional configuration
  • Costs can increase significantly with high document volumes
  • Learning curve for more advanced customisation features
  • Requires some setup work to define extraction rules for custom documents

Use Cases

Processing invoices and receipts for accounting and expense management

Extracting information from job applications and CVs in recruitment

Digitising customer information from forms and registration documents

Automating data capture in customer service workflows

Converting paper documents to structured data for research or archiving

Automating insurance claim form processing

Extracting data from compliance documents for audit purposes