Use Cases & Supported Chart Types

Plot2Data supports a wide range of chart types. Upload any chart image and our AI will extract structured numerical data as CSV. Below are examples of supported chart types with sample extracted data.

Single Line Chart

Line Chart

Extract data points from a simple single-series line chart. Common in scientific papers, financial reports, and trend analyses.

Sample Extracted Data

Time (s)	Temp (°C)
0	22.1
10	28.4
20	35.7
30	41.2
40	45

Multi-Series Line Chart

Multi-Line

Extract multiple data series from a chart with several plotted lines. Ideal for comparing trends across categories or time periods.

Sample Extracted Data

Quarter	Product A	Product B	Product C
Q1	120	85	62
Q2	145	92	78
Q3	132	110	95
Q4	168	125	88

Line Chart with Error Bars

Error Bars

Extract data points along with their error ranges. Essential for scientific and experimental data with measurement uncertainty.

Sample Extracted Data

Conc.	Absorbance	Err+	Err-
0.1	0.052	0.008	0.006
0.5	0.245	0.015	0.012
1	0.51	0.022	0.018
2	0.985	0.03	0.025

Vertical Bar Chart

Bar Chart

Extract values from standard vertical bar charts. Perfect for categorical comparisons like quarterly sales or survey results.

Sample Extracted Data

Quarter	Revenue ($K)
Q1 2025	245
Q2 2025	312
Q3 2025	278
Q4 2025	356

Horizontal Bar Chart

Horizontal Bar

Extract data from horizontal bar charts. Often used for ranking data, survey responses, and comparisons with long category labels.

Sample Extracted Data

Feature	Satisfaction (%)
Speed	87
UI Design	72
Accuracy	91
Support	65

Stacked Bar Chart

Stacked Bar

Extract component values from stacked bar charts. Useful for showing composition and total across categories.

Sample Extracted Data

Year	Solar (GW)	Wind (GW)	Hydro (GW)
2022	45	82	120
2023	62	95	118
2024	85	110	122
2025	105	128	125

Grouped Bar Chart

Grouped Bar

Extract grouped values for side-by-side comparisons. Great for comparing multiple metrics across categories.

Sample Extracted Data

City	2024	2025
Seoul	42	48
Tokyo	38	45
San Francisco	55	52
London	35	41

Scatter Plot

Scatter

Extract individual data points from scatter plots. Essential for correlation analysis and identifying data distributions.

Sample Extracted Data

Height (cm)	Weight (kg)
158	52
165	61
172	68
175	72
180	78

Scatter Plot with Trend Line

Scatter + Trend

Extract data points and identify trend lines from scatter plots. Useful for regression analysis and forecasting.

Sample Extracted Data

Study Hours	Score	Trend
2	55	52
4	62	64
6	78	76
8	85	88

Pie Chart

Extract percentage or proportion data from pie charts. Common in market share reports and budget breakdowns.

Sample Extracted Data

Company	Share (%)
Company A	35
Company B	25
Company C	20
Company D	12
Others	8

Donut Chart

Extract data from ring-shaped donut charts. Often used for budget allocation and portfolio composition.

Sample Extracted Data

Category	Amount (%)
R&D	30
Marketing	25
Operations	22
HR	13
Other	10

Area Chart

Extract data from area charts with filled regions. Common for showing volume or magnitude changes over time.

Sample Extracted Data

Time (min)	CPU Usage (%)
0	12
5	45
10	78
15	62
20	35

Box Plot

Extract statistical summaries (min, Q1, median, Q3, max) from box-and-whisker plots. Essential for distribution analysis.

Sample Extracted Data

Group	Min	Q1	Median	Q3	Max
Class A	45	62	75	85	98
Class B	38	55	68	78	92
Class C	52	65	72	82	95

Histogram

Extract frequency data from histogram distributions. Perfect for analyzing data spread, demographics, and statistical patterns.

Sample Extracted Data

Age Range	Count
18-25	45
26-35	82
36-45	65
46-55	38
56-65	22

Candlestick Chart

Candlestick

Extract OHLC (Open, High, Low, Close) data from candlestick charts. Standard for stock market and financial data analysis.

Sample Extracted Data

Date	Open	High	Low	Close
Jan 6	182.5	185.2	180.1	184.8
Jan 7	184.8	188	183.5	186.2
Jan 8	186.2	186.8	181	182.5
Jan 9	182.5	185.5	181.8	184

Heatmap

Extract matrix values from color-coded heatmaps. Used for correlation matrices, activity maps, and multi-dimensional comparisons.

Sample Extracted Data

Row	A	B	C	D
X	0.9	0.3	-0.2	0.5
Y	0.3	0.8	0.6	-0.1
Z	-0.2	0.6	1	0.4
W	0.5	-0.1	0.4	0.7

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