Photo in, Data out.
Manual receipt entry costs about 4 minutes per receipt. With 20 receipts a year that's 80 minutes of pure typing. Rentprime's receipt AI reads heating, water and insurance receipts automatically — you just confirm.
Three steps, 30 seconds, done.
Upload receipt
Photo via mobile app, PDF by drag & drop on desktop or email forward to your Rentprime address.
AI detects
In 2-3 seconds: supplier, amount, period, cost type, property assignment. With confidence values per field.
You confirm
Review the fields and correct them if needed — the AI learns from your corrections. The receipt is archived in HMRC-compliant form.
Watch the AI read a receipt.
Supplier, amount, date, cost type — the fields fill in automatically, step by step. This is how it feels in the app.
50+ German utilities, highest detection rates.
The AI is specifically trained on German utility bills. Every receipt that goes through makes recognition better. Here's a selection of top suppliers:
Manual vs. AI — one hour per year.
Manual receipt entry costs ~4 minutes per receipt. The AI takes 3 seconds plus 5 seconds confirmation. With 20 receipts per property annually:
- Manual entry80 Min · 3 % Fehlerquote
- With receipt AI8 Min · 0,5 % Fehlerquote
- Difference per year and property−72 minutes
- For 5 properties−6 hours per year
Half a working day that's yours.
What is the difference?
- You get a full-text stream
- You extract supplier, amount, date yourself
- No plausibility check
- Kein Lerneffekt
- OCR + layout detection in one step
- Supplier database with addresses + logos
- Plausibility check (date, amount, period)
- Learns from every correction — gets better
Receipt AI — what German landlords really need
A modern receipt AI for landlords is more than simple OCR (Optical Character Recognition). Whereas classic OCR merely reads text from an image, a specialised receipt AI understands the structure and meaning of a utility invoice: Where is the amount? Which period is being billed? Which cost type is involved? Which property does the receipt belong to?
Specifically for German landlords, the most common receipts are standardised: heating-service invoices from Techem, ista, Brunata-Metrona and Minol each have a typical layout — the AI identifies the supplier, billing period and amounts with up to 97 % accuracy on standard utility receipts (internal test). Energy suppliers such as British Gas, E.ON, Vattenfall, OVO Energy and the municipal utilities of all major cities are also included in the training dataset.
Datenschutz: Kern- und Mieterdaten liegen bei ISO-27001-zertifizierten Hostern verschlüsselt. Für Hosting, CDN, Transaktions-Mail, SMS und KI setzen wir US-Anbieter ein (Vercel, Fly.io, Supabase, Cloudflare, Resend/Postmark, Twilio, Anthropic); insoweit findet eine Übermittlung in die USA statt — abgesichert über das EU-US Data Privacy Framework (soweit zertifiziert) und EU-Standardvertragsklauseln (SCC, Art. 46 UK GDPR + DPA 2018). Die Beleg-Erkennung läuft über Anthropic Claude. Deine Beleginhalte werden vertraglich zugesichert nicht als Trainingsdaten verwendet.
Practical tip: For recurring receipts (e.g. monthly caretaker invoices with a consistent layout), set up a "template" once. With the next receipt, the KI instantly recognizes it again and automatically fills in 100 % of the fields — you only need to confirm the current amount and date.