Everything you need to know before uploading your first chart.
WebPlotDigitizer is free. Why would I pay $7/month? +
WebPlotDigitizer is a great tool — for one chart at a time. It requires you to manually calibrate the axes and click every single data point, which takes 20–40 minutes per chart. If you're doing 1 chart a month, it's probably fine. If you're doing a systematic review with 50+ figures, or you're an analyst who regularly receives chart screenshots, ChartSnap saves you hours. At $7/month, it pays for itself the first time you use it on a project. The 14-day free trial lets you decide without any commitment.
How is ChartSnap different from using ChatGPT to read charts? +
ChatGPT can describe a chart and roughly estimate some values — but it consistently hallucinates data points, cannot reliably read precise axis values, gives you unstructured text not a downloadable CSV, and has no way to verify what was detected. ChartSnap is purpose-built for this task: it shows you exactly where it detected each data point (overlaid on your image), gives you a confidence score per point, lets you correct anything wrong before downloading, and produces a properly formatted CSV/Excel/JSON in seconds. For precise data extraction, the difference is enormous.
How is this different from ChartGen.ai? +
ChartGen.ai is a chart creator — you give it a spreadsheet and it generates a beautiful chart. ChartSnap is a chart extractor — you give it a chart image and it gives you the spreadsheet. They work in entirely opposite directions. The one-line comparison: ChartGen.ai is to ChartSnap what a word processor is to a document scanner.
What if the AI extracts a value incorrectly? +
Every extraction shows a confidence score per data point, colour-coded green (high), amber (medium), or red (low). The red and amber values are the ones to check. You can click any extracted value and edit it inline before downloading — the corrected value is flagged as "manually verified" in your export. This manual correction layer is what makes ChartSnap reliable even on complex charts. No other consumer tool gives you this level of visibility and control.
What chart types does ChartSnap support? +
Bar, line, pie, scatter, area, histogram, candlestick, radar, heatmap, and more. If you can see the chart, ChartSnap can extract the data. Our AI handles charts from academic journals, financial reports, government PDFs, investor decks, and web screenshots.
How accurate is the data extraction? +
Bar charts: 97%, Line charts: 95%, Pie/donut: 93%, Scatter plots: 91%, Complex/mixed: 88% — on clear, high-resolution images from our 500+ chart benchmark. Real-world accuracy varies by image quality. That's why we show per-point confidence scores and let you correct before downloading.
Is my data private and secure? +
Yes. Your chart images are processed and immediately deleted. We do not store your charts, your extracted data, or any document content. Processing is done in isolated environments. ChartSnap is safe for confidential business documents, unpublished research, and sensitive data.
What happens after the 14-day free trial? +
After 14 days, your account goes read-only. You keep all previously extracted data and can still view and download it. We never charge your card automatically — ever. If you want to keep extracting new charts, upgrade to Pro at $7/month. Students and academic researchers get 50% off with a .edu email.
Is there a refund policy? +
If you're not satisfied within 7 days of upgrading to Pro, email us for an immediate refund — no questions asked. Our refund rate is under 2%. Most people who try it keep it because the time savings are obvious immediately. At $7/month, most users tell us it pays for itself in the first hour.
Do you have a student or academic discount? +
Yes — students and academic researchers get 50% off Pro ($3.50/month). Email us from your .edu address with a brief description of your research and we'll send a custom discount link within 24 hours.
Can I process multiple charts at once (batch)? +
Yes — batch processing is a core Pro feature. You can drag in a folder of images, drop a ZIP file, or select up to 50 charts at once. ChartSnap processes all charts in parallel and delivers a single Excel workbook with one sheet per chart, named after the source file. A confidence summary sheet is included so you know which charts to double-check. Free trial includes 10-chart batches; Pro unlocks 50.
Can I upload a full PDF and extract all the figures automatically? +
Yes — PDF bulk extraction is available on all plans. Upload the paper PDF and ChartSnap scans every page, detects all chart figures automatically (distinguishing them from text pages), and extracts each one in parallel. Results are delivered as a single workbook with sheets auto-named by figure number using the caption. Works on academic journal PDFs from PubMed, Nature, Lancet, and more. Scanned PDFs require OCR mode (available on Pro).
Does ChartSnap have an API or SDK for programmatic use? +
Yes — Pro includes 100 API calls/month with access to our Python SDK (pip install chartsnap) and R package (CRAN). The Python SDK returns native pandas DataFrames; the R package returns tibbles that plug straight into tidyverse workflows. You can call ChartSnap from Jupyter notebooks, R Markdown files, GitHub Actions, or any automated pipeline. The REST API covers single extraction, batch extraction, and PDF figure extraction. Team and Institutional plans include unlimited API calls for entire labs.
Yes — ChartSnap is purpose-built for exactly this. Upload any graph image (PNG, JPG, WebP, GIF) or a PDF page containing a chart, and our AI extracts every data point automatically. You get the raw numbers in a clean, downloadable spreadsheet — no manual transcribing, no clicking each point. It works on bar graphs, line graphs, pie charts, scatter plots, and more.