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About Sparkify Documentation

Sparkify is documentation built for electricians. Create clean, consistent PDF reports on site — without paperwork. Made for: - VDE 0100-600 - VDE 0701/0702 - DGUV A3 - Photo documentation & defect documentation Fast data capture (no typing): - Wiha MFT & Wiha PAT via NFC - PAT image recognition for faster identification - Optional device integrations (e.g. Sola via Bluetooth) Field-ready by design: - 100% offline capable — work anywhere, sync laterGuest mode for quick testing without registration - Privacy-first architecture, hosted in Germany & France If you want structured documentation that matches how electricians work, Sparkify is the platform. Terms of Services: https://sparkify-app.com/app-tos/ Privacy Policy: https://sparkify-app.com/app-gdpr/

What’s new

Version 2026.10.3 · Updated October 12, 2026

We've redesigned the measurement screens and added a new 400 V screen with wallbox readings. Redesigned Measurements "MFT Measurement" now offers "230V" for your usual measurements and "400V" for three-phase systems and EVSE/wallboxes. Clearer screens with "Passed" at the top and readings in organised sections, also for manual entry without a measuring device. Use new circler "NFC" button to transfer readings from Wiha devices into the right section, or capture everything at once with Auto-Test. 400 V & Wallboxes The new 400 V screen organises insulation and impedances by conductor pair and shows voltage, frequency and direction of rotation. A new EVSE / Wallbox section records DC trip time and DC trip current. Bug Fixes Various issues have been resolved to further improve the app's stability and reliability. Thank you for using our app! We always appreciate your feedback.

App privacy

The developer, Onstruc UG (haftungsbeschraenkt), reported these privacy practices to Apple.

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Contact Info: Email Address
  • Identifiers: User ID
  • Usage Data: Product Interaction
  • Diagnostics: Crash Data, Performance Data

Used for: Analytics, App Functionality

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