Empower non-technical users to extract insights, clean datasets, and automate reports — without SQL or Python.

Dataset Cleaning
Apply AI logic in spreadsheets to clean and normalize data quickly.
Use AI to categorize and summarize large data sets for better understanding.
Parse text from documents into structured data like JSON or tables.
Anonymize personal data in bulk to meet privacy laws and compliance standards like GDPR.
Create and save templates to simplify recurring data transformation tasks.
Leverage bulk AI processing to run predictions across thousands of rows, using AI models to extrapolate trends and generate structured outputs in a spreadsheet.
Apply AI functions to detect outliers, inconsistencies, or suspicious patterns across datasets at scale.
Bulk classify thousands of documents (PDFs, text files, etc.) into custom categories using AI logic directly in a spreadsheet.
Extract insights from thousands of customer interactions and categorize them by topic or urgency.

Example:

Categorize or split 20,000 support tickets into technical issues, billing complaints, or feature requests.


Data teams no longer need to write scripts or build dashboards from scratch. Batcher.ai handles the heavy lifting, empowering analysts and business users to interact with data using natural language — not code.