CSV Analyst

CSV Analyst

Run AI prompts across thousands of CSV rows automatically

bba126110
@bba126110
Published on May 7, 2026
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Details

Pricing
Freemium from $20
Platforms
Web

About CSV Analyst

CSV Analyst is an AI-powered tool that lets you run LLM prompts across entire CSV files automatically. Instead of manually writing scripts or complex spreadsheet formulas, you simply upload a CSV, define the output fields you want (such as category, sentiment, tags, or structured attributes), and the system processes every row using AI. CSV Analyst handles batching, retries, and structured outputs so large datasets can be enriched reliably without custom code. Typical use cases include: - Product categorization for ecommerce catalogs - Extracting structured attributes from messy product data - Cleaning and enriching marketing datasets - Analyzing support tickets or customer feedback It’s designed for teams that work with spreadsheets but need the power of AI to process thousands of rows quickly.

Product Insights

CSV Analyst is a web-based automation tool that applies LLM prompts to datasets, enabling users to generate structured outputs across thousands of rows without writing code. It bridges the gap between spreadsheet management and AI processing through built-in batching and error handling.

  • Supports automated batching and retries for reliable large-scale data processing.
  • Eliminates the need for custom scripts or complex formulas to extract structured attributes.
  • Provides a freemium pricing model starting at 20 dollars for web users.
  • Generates structured outputs like categories, sentiment, and tags directly from CSV files.

Ideal for: Data Scientists, Marketers, and Founders who need to automate product categorization, data cleaning, or sentiment analysis across large spreadsheet datasets.

Screenshots

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Comments (2)

manicinc
@manicinc

Will surely check this out

bba126110
@bba126110

Hey everyone 👋 I built CSV Analyst after repeatedly needing to run LLM prompts across large spreadsheets. Every time I tried doing this manually I ended up writing scripts for batching, retries, an