KeyText

KeyText

KeyText is text extraction and data capture software that can automatically collect usable data from documents, PDFs, and websites. It uses advanced AI and machine learning for intelligent data extraction.
KeyText image
text-extraction data-capture pdf-processing machine-learning

KeyText: Advanced Text Extraction Software

Automatically extract usable data from documents, PDFs, and websites with KeyText's AI-powered text extraction software

What is KeyText?

KeyText is an intelligent data extraction and text analytics software. It can automatically extract text, tables, and data from PDFs, scanned documents, websites, and more using advanced optical character recognition (OCR), computer vision, and natural language processing technology.

KeyText has a user-friendly interface that allows you to set up data extraction workflows with no coding required. Simply connect your documents or data sources, train KeyText on what data to extract, and it will instantly start collecting usable, structured data for you. The extraction is extremely accurate thanks to KeyText's use of machine learning and artificial intelligence.

Some key features and benefits of KeyText include:

  • Extract text, tables, images, barcodes, and more from PDFs and scanned docs
  • Web scraping to extract data from websites
  • Entity extraction to detect people, organizations, locations, etc.
  • Self-learning AI and machine learning for high accuracy
  • classify and organize extracted data
  • Integrates seamlessly with business apps through APIs
  • OCR in over 190 languages

KeyText saves vast amounts of time and resources by automating manual data entry. The extracted data can be easily exported or integrated with databases, Excel, etc. KeyText offers on-premise and cloud-based deployment options suiting business needs and is trusted by leading enterprises and governments worldwide.

KeyText Features

Features

  1. Text extraction
  2. Data capture
  3. PDF processing
  4. Web scraping
  5. Intelligent data extraction
  6. Machine learning
  7. Automated data collection

Pricing

  • Subscription-Based

Pros

Saves time extracting data

Improves data accuracy

Works with many file types

Easy to use interface

Good for large datasets

Cons

Steep learning curve

Expensive for large volumes

Limited customization options


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