Katot AI: Extract Anything!

Powerful AI-based extraction from any text using your own custom schema


Let's get you started!

Have a specific text extraction need? Let's discuss how Katot AI can help you!

LLM-based Auto Annotation

Easy and fast extraction with Katot.ai

Do you have your data and annotation guidelines? That's all you need. Let our AI annotator do the rest.

Step 1: Define your extraction schema outlining the data fields you need.Step 2: Upload your documents or input text.Step 3: Receive structured data extracted per your schema.


Example Usecases

Katot is fast, flexible, and high-quality!

Named Entity Recognition (NER)

Define your own entities—names, organizations, locations, or anything else—using adaptable, automated annotation for any project.

Named Entity Recognition (NER) Example

Invoice Data Extraction

Automatically extract fields like invoice number, date, and total amount from financial documents.

Inside-Outside-Beginning Tagging Example

Contract Analysis

Extract key terms, dates, and parties involved from legal contracts.

News Article Classification Example

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Extracting data has never been easier!

by Appvisor