How does PlotCh.at work?

PlotCh.at uses AI models like GPT-4 Vision and Google's Deplot to comprehend data in images and generate tables with additional explanations based on user questions.

What types of images can I upload?

You can upload images with plots, graphs, and visual data. PlotCh.at analyzes and extracts the data from these images.

How accurate is the table generated by PlotCh.at?

The accuracy of the table generated by PlotCh.at depends on the quality and clarity of the image as well as the complexity of the data. PlotCh.at strives to provide accurate results but it may not be perfect in all cases.

PlotCh.at: Chat and analyze data in images

Name: PlotCh.at
Rating: 5 (69 reviews)
Author: toolify

Sponsored by Bright Data - Power AI and LLMs with Endless Web Data

Category AI Models Social Listening New

Favourite

Home

AI Charting

PlotCh.at

Open site

0 Reviews

1 Saved

Introduction:

Chat and analyze data in images

Added on:

Jan 04 2024

Monthly Visitors:

Social & Email:

Website

AI Charting

Advertise this tool Update this tool

Bright Data

Power AI and LLMs with Endless Web Data

Web Scraping

Rubii AI

Rubii: AI native fandom character UGC platform. Create your character, feed, and stage. Create interactive stories, chat with virtual partners, and explore user-generated content.

AI Character Novel AI Story Writing

Nume

The AI CFO every founder needs

AI Accounting Assistant AI Consulting Assistant AI Spreadsheet

Wonderchat

Create custom chatbot with Wonderchat, boost customer response speed by 100% and reduce workload.

AI Chatbot AI Reply Assistant Large Language Models (LLMs)

Snapcut.ai

AI-powered video editing for viral shorts

Captions or Subtitle AI Short Clips Generator AI Repurpose Assistant

PlotCh.at Product Information

What is PlotCh.at?

Chat with the data in the image

How to use PlotCh.at?

You can upload an image with plots/graphs and visual data, and ask a question about it. PlotChat will answer your question by generating a table of data from the image and additional explanations of the data (based on your question)