Pull kWh, Cost, and Charging Location from Any EV App Screenshot
PlugShare, ChargePoint, and Tesla all track your charging sessions differently — and none of them let you export a unified log. This pulls the data you need from any EV charging screenshot in one batch.
5-10s per screenshot · Up to 99% accuracy on printed text
What You Can Pull from EV Charging Screenshots
An EV charging session's useful data — kWh delivered, cost, location, duration — is scattered across different app UIs with zero shared layout. With Custom Column Extraction, you name the fields you need: the AI locates them on any charging screen by understanding what each value means, not where it appears.
These are the column names you type for each charging source. The AI finds matching values regardless of the app — you get one clean spreadsheet across all networks.
Every EV App Logs Charging Differently — None Export to a Spreadsheet
PlugShare treats charging data as community check-ins. ChargePoint wraps it in a corporate dashboard designed for station owners. Tesla's Charge Stats is a clean consumption graph — not a CSV export. None of them were built to give you a spreadsheet, yet employers, accountants, and tax authorities increasingly ask for one.
Why EV Charging Screenshots Are Hard to Extract
Each app serves a different purpose — data is an afterthought. PlugShare buries kWh between charger photos and community reviews. ChargePoint splits activity across cost, energy, and distance tabs. Tesla's Charge Stats is a graph, not a table. Template-based extraction needs a separate configuration for each.
Most apps don't let you export your own history. Users on r/TeslaLounge ask how to export supercharger history without downloading each invoice individually. An Evnex customer needed session CSV export for tax purposes — the answer was "no export feature." ChargePoint drivers can view statements but get no bulk export for personal use.
Home vs public charging creates a split dataset. A Tesla home charge shows kWh only. A ChargePoint session shows kWh + cost. A workplace charger shows nothing. Stitching these means screenshots from two apps plus your electricity bill — each with different units and time formats.
How Semantic Extraction Reads Any Charging Screen
You name the fields — AI finds them by meaning, not position. Type "kWh", "Cost", "Duration", "Location". The visual language model understands that a large number followed by "kWh" on a ChargePoint card is the same field as "Energy" on a Tesla Charge Stats screen. You don't map out each app's layout. You tell the AI what you want.
One column set works across every charging source in your batch. Upload PlugShare check-in screenshots, ChargePoint activity app pages, and Tesla Charge Stats views together. Define columns once. The AI adapts to each source's layout individually — every screenshot becomes a row in the same spreadsheet, even though the source apps have nothing in common visually.
Screenshot-based extraction is the only app-agnostic method. No API access, OAuth permissions, or telematics subscription needed. Every app has a screenshot function — the AI reads the screen the same way you do, at batch scale. The lowest-friction path to a unified charging log, across any app or network.
From Mixed Charging Screenshots to One Spreadsheet in Three Steps
Upload Mixed-Source Charging Screenshots
You've been charging at different places all week: a Tesla home charge overnight, two ChargePoint sessions at the mall, a PlugShare check-in at a road-trip stop, and an employer reimbursement form with a screenshot of the receipt. Drag them all into one batch — JPG, PNG, WebP, no per-app preprocessing needed.
Name the Fields You Need — Once
Type kWh, Cost, Duration, Location, Date. One set of columns, five screenshots from four different sources. The AI doesn't need to know which screenshot is from the Tesla app and which is from ChargePoint. It reads each image, finds each value by what it means, and fills in the columns. The home charge row gets kWh without cost (expected — the app shows energy, not money); the ChargePoint rows get kWh plus cost; the reimbursement screenshot gets all five.
Download Your Unified Charging Log
Processing takes 5-10 seconds per screenshot. The output is one XLSX or CSV file: five rows (one per screenshot), exactly the columns you defined. Tesla home charge, ChargePoint mall, PlugShare road trip, employer reimbursement — all in one table, ready for expense reporting or personal tracking. Roughly 18x faster than opening each screenshot and typing the fields by hand (~90s manual per screenshot vs ~5s here).
When It Works Best — and When to Be Cautious
Knowing when it works — and when it doesn't — helps you get the best results.
When It Works Best
Direct device screenshots from charging apps. Full-resolution screenshots achieve up to 99% accuracy on kWh numbers and costs. Modern app UIs use high-contrast machine-rendered text — the model handles it well.
Mixed network batch processing. One column set, any charging network. The AI handles per-image layout differences — no app sorting needed.
Predictable key-value data patterns. Charging data follows a consistent semantic pattern. The AI identifies these by meaning rather than position — which is why it works across different app UIs.
When to Be Cautious
Forwarded receipts or emailed invoices. Email compression reduces accuracy — spot-check extracted figures from forwarded sources.
This extracts what you see — it does not calculate totals or generate reports. The tool reads each screenshot's numbers but does not sum sessions or produce compliant reimbursement documentation. Those steps happen in your spreadsheet.
Old app versions or unconventional dashboards. Legacy apps may place fields in unexpected positions. Results are less consistent than on current layouts.
Frequently Asked Questions
Can I extract kWh, Cost, and Location from PlugShare, ChargePoint, and Tesla screenshots in the same batch?
Yes. You define one set of column names — kWh, Cost, Duration, Location — and the AI processes every screenshot in the batch using the same definitions. Whether it's a PlugShare community check-in, a ChargePoint session summary from the app's Charging Activity tab, or a Tesla Charge Stats page, the output is a single spreadsheet with one row per screenshot, the columns you named, and no manual sorting by network.
Tesla shows charging cost for Supercharger sessions but not for home charging — can the AI handle both types?
Yes. A Supercharger screenshot shows both kWh and cost — the Cost column gets the dollar amount. A home charging screen shows kWh and duration but no monetary cost (the cost depends on your home electricity rate, not the charger). The Cost column will be empty for home charging rows. You can multiply kWh by your known per-kWh rate in Excel after extraction, or use a computed column to have the AI do it during extraction.
I manage a fleet — can I extract charging data per vehicle and differentiate between drivers from one set of screenshots?
Add a "Vehicle" or "Driver" column to your set. The AI fills in the vehicle name or plate if it appears on the screenshot — for example, on a ChargePoint fleet dashboard. For screenshots without a vehicle identifier, assign vehicles after extraction by adding a column in Excel or grouping screenshots by driver before uploading. The tool does not tag sessions to vehicles automatically; that assignment happens through column definition or post-processing.
Can the extracted charging data be used for employer reimbursement?
The exported spreadsheet contains the raw fields (kWh, cost, duration, location, date) that most employers accept as supporting documentation for EV charging reimbursement. For jurisdictions with specific compliance requirements (such as California's CA2802, which requires employers to reimburse employees for necessary EV charging expenses), consult your employer's reimbursement policy — some may require telematics-based records instead of screenshot extraction. The tool gives you the data foundation; your employer's policy determines whether screenshot-based documentation is sufficient.
How do I export the extracted charging data — can it go directly into Google Sheets?
You can export to Excel (XLSX), CSV, or JSON. Excel is the most practical for charging logs — it handles mixed-source tables cleanly and works with fleet management workflows. For Google Sheets users, the Sheets add-on lets you insert extracted data directly into the active sheet without leaving your spreadsheet environment. The add-on syncs with your account templates and usage history. You can also use CSV for import into fleet management platforms like Fleetio or your own tracking spreadsheet.
Related reading: Consolidate fuel receipts, toll invoices, and IFTA documents into one fleet cost report — the same batch workflow applies to EV charging session screenshots · Payment screenshot extraction workflow — applicable to ChargePoint and Tesla charging payment confirmation screenshots
If you need the entire screenshot turned into a structured table rather than just specific charging fields, screenshot-to-excel conversion may be what you're looking for.