# SVG Chart to Data Extractor Reverse engineer SVG charts into data points for line, bar, scatter, and pie-style SVG structures > Canonical page: https://elysiatools.com/en/tools/svg-chart-to-data-extractor - **Category:** Data Processing - **Keywords:** svg, chart, data extraction, csv, reverse engineering, visualization ## Overview The SVG Chart to Data Extractor is a specialized utility designed to reverse-engineer data points directly from raw SVG code. By analyzing SVG elements like polylines, rectangles, and paths, it maps visual coordinates back to actual chart values using customizable axis ranges, making it easy to recover lost datasets from exported reports, web charts, or embedded graphics. ## Inputs - **SVG Content** (textarea) - **Chart Type** (select) - **X Axis Minimum** (number) - **X Axis Maximum** (number) - **Y Axis Minimum** (number) - **Y Axis Maximum** (number) ## When to use - When you have an exported SVG chart but have lost access to the original dataset or spreadsheet. - When you need to scrape or extract precise data points from a web-based SVG visualization. - When migrating static SVG reports into dynamic charting libraries that require raw JSON data. ## How it works - Paste your raw SVG code containing the chart elements into the input field. - Select the chart type (line, bar, pie, or scatter) or leave it on auto-detect to let the tool identify the structure. - Define the minimum and maximum values for the X and Y axes to calibrate the coordinate mapping. - The tool calculates the relative positions of the SVG shapes within the viewBox and outputs the recovered data points as structured JSON. ## Use cases - Recovering historical sales data from an old SVG dashboard export where the original database is inaccessible. - Extracting coordinates from a scientific scatter plot published as an SVG on a research portal. - Converting static vector infographics into dynamic, interactive charts by extracting the underlying values. ## Frequently asked questions ### What types of SVG charts are supported? The tool supports line charts (polylines), bar charts (rectangles), scatter plots (points/circles), and pie charts (arc paths). ### How does the tool calculate the actual data values? It uses the SVG's viewBox dimensions and the X/Y axis minimum and maximum values you provide to map pixel coordinates back to real-world data points. ### Can it extract data from an image like PNG or JPEG? No, this tool only works with vector-based SVG code containing distinct shape elements. ### Do I need to provide the axis ranges? While optional, providing the exact X and Y axis minimum and maximum values is highly recommended to ensure the extracted data matches the original scale. ### What format is the extracted data in? The tool outputs the recovered data points as a structured JSON object, which can be easily utilized in data visualization libraries or converted to CSV. ## Related tools - [CSV Histogram, Scatter and Box Plot Chart Studio](https://elysiatools.com/en/tools/csv-histogram-scatter-box-plot-chart-studio): Upload or paste a CSV and chart it instantly: histograms with Sturges / Freedman-Diaconis / Scott binning, scatter plots with Pearson r and a least-squares fit, and Tukey box plots — every chart downloadable as PNG and SVG. - [PCIe Link Training LTSSM & Lane Margining Eye Decoder](https://elysiatools.com/en/tools/pcie-link-training-linkstate-and-lane-margining-eye-decode): Decode a PCIe link training log (LTSSM state sequence plus TS1/TS2 ordered sets) into the full Gen1-Gen6 state timeline: negotiated speed and width, rate identifier bits, lane reversal, polarity inversion, equalization phases and Detect/Recovery restart diagnostics. Also grades a lane margining report (pcilmr CSV or key=value) against the PCIe Base Spec Rev 5.0 §8.4.2 eye minimums per generation and renders a per-lane eye-margin heatmap SVG. - [Data Column Extractor](https://elysiatools.com/en/tools/data-column-extractor): Extract specific columns from tabular data with support for various formats and flexible column selection - [Header Remover](https://elysiatools.com/en/tools/header-remover): Remove headers from CSV data to create clean header-less files. Perfect for database imports, data processing pipelines, API integrations, and systems that require header-less CSV format. Features: - Remove first row (header) from CSV data - Remove multiple header rows - Skip empty lines before removing headers - Preserve data integrity - Support various CSV separators - Preview before removal - Data validation options - Batch processing capabilities Common Use Cases: - Prepare data for database imports - Clean up API response data - Remove metadata from exported files - Create header-less data for machine learning - Prepare data for systems that don't use headers - Extract pure data values from structured files - [PDF Table Extractor to CSV/JSON](https://elysiatools.com/en/tools/pdf-table-extractor-to-csv-json): Extract tables from PDFs with OpenDataLoader and export them as structured JSON, flat CSV, or HTML tables - [JSON-LD Generator from CSV](https://elysiatools.com/en/tools/json-ld-generator-from-csv): Turn CSV or Excel rows into Schema.org JSON-LD for articles, products, or events, with validation-ready output for SEO workflows - [Team Performance Comparison](https://elysiatools.com/en/tools/team-performance-comparison): Paste multiple teams' season stats as CSV and get a side-by-side comparison table with per-column best/worst highlighting, normalized 0–100 scores, composite ranking, and SVG bar visualizations. - [CSV Column Selector](https://elysiatools.com/en/tools/csv-column-selector): Select specific columns from CSV data by column names or indices. Perfect for extracting relevant data from large CSV files with many columns. ## Samples - [SVG Samples](https://elysiatools.com/en/samples/svg-samples): Scalable Vector Graphics (SVG) samples demonstrating various SVG features and techniques - [SVG Viewer Samples](https://elysiatools.com/en/samples/svg-viewer-samples): Sample SVG vector graphics (scene, icon set, diagram) for the in-browser SVG Viewer - [D3.js Data Visualization Samples](https://elysiatools.com/en/samples/d3js-data-visualization): Comprehensive D3.js data visualization examples including charts, maps, animations, and interactive visualizations - [CSV Samples](https://elysiatools.com/en/samples/csv-samples): Sample CSV files with various data types, sizes, and complexity levels