Your leases already contain your portfolio. AI just reads them.
Every property management app starts with the same chore: retyping your leases into their forms. LetsGoLandlord starts by reading them — PDFs, Word documents, decades-old scans, phone photos of the paper leases in your filing cabinet, or one ZIP of the entire folder — and extracting the tenants, unit, term dates, rent, deposit, and late-fee terms for you.
Nothing enters your books silently. Every extraction lands in a review screen with a confidence flag; you confirm or correct, and the lease, tenants, and unit are created together. The AI does the typing — you keep the judgment.
Nothing saves until you review ↓
From lease folder to working portfolio, in five steps
One: upload your leases — drag the files in, or drop one ZIP of the whole folder. Two: the AI reads each lease and pulls out the tenants, monthly rent, term dates, security deposit, and late-fee terms. Three: from what it read, your properties, units, tenants, and leases are drafted together and queued for your review — matched carefully, so re-running a batch never creates duplicates.
Four: each new property's address is looked up, and where Google Street View imagery is available for that address, a street-level photo appears on the property automatically — fetched and cached by our servers, and replaceable with your own photo anytime. Five: you fix the handful of fields the AI flagged as uncertain, confirm, and start managing. That's the whole onboarding — no forms per tenant, no CSV template to fill, no week of evenings.
Any file. Any device. Even the whole folder.
You don't prep files for LetsGoLandlord — it meets your leases where they live. PDF or Word (.docx and the old .doc), RTF, OpenOffice, plain text, or a straight-up photo: snap the paper leases in your filing cabinet with your phone and upload the pictures — iPhone photos convert automatically, no settings to change.
Have everything in a Google Drive or Dropbox folder? Download it as one ZIP and drop the ZIP in — folders inside folders and all. The importer walks the whole tree, skips the junk, and queues up to 200 lease documents in a single drop. Windows, Mac, phone, tablet: if you can drag a file into a browser, you can build your rent roll with it.
Built for messy reality
Real leases are scanned sideways, initialed in margins, and amended by addendum. The extractor is deliberately conservative: what it can't read confidently, it flags instead of guessing. A blurry deposit amount becomes a question for you, not a wrong number in your ledger.
From one-off upload to living template
The same engine powers the template wizard: point it at the lease you already use and it finds every blank worth templating — names, dates, rent, deposit. From then on, renewals and new tenancies generate filled documents deterministically. AI finds the blanks once; the filling is exact substitution, never a language model improvising legal text.
What it costs to run
Extractions are included in every plan — 100/month on Solo, 300 on Growth, 1000 on Portfolio, 2000 on Scale, and 50 during the trial. Enough to onboard your whole portfolio and keep going.
Frequently asked questions
Can AI read a rental lease and create tenant records?
Yes — that's exactly what this does. Upload the lease file and the AI reads it and drafts the tenant records along with the property, unit, and lease: names, monthly rent, term dates, deposit, late-fee terms. Anything it wasn't confident about is flagged; you review, confirm, and everything is created together.
Do I have to manually enter every tenant when switching landlord software?
Not here. The re-typing that usually stalls a switch is the step the AI does for you: upload the leases you already have (or import a rent-roll spreadsheet) and review what it found instead of filling in forms per tenant. See the switching guide for the full picture of what's automatic and what isn't.
Can property management software add property photos automatically?
LetsGoLandlord can, where imagery exists. When a property is created — by extraction, import, or by hand — its address is looked up, and where Google Street View imagery is available for that address, a street-level photo appears on the property automatically, fetched and cached by our servers. No photo shoot on day one, and you can replace it with your own photo anytime.
What file types work?
Almost anything a lease lives in: PDF (scans included), Word (.docx and legacy .doc), RTF, OpenDocument (.odt), plain text, and photos (JPG/PNG/WebP — iPhones convert automatically). You can also drop a ZIP up to 250 MB straight from Google Drive, folder structure and all, with up to 200 lease documents per drop (20 MB per document, ~5 MB per photo). Clean digital files extract best; readable scans work; photographed pages usually work but get more human-review flags.
Does the AI ever write my lease?
No. Extraction reads documents; generation fills your own template with exact values. No language model ever composes lease language.
What happens to low-confidence fields?
They're flagged in the review screen with the AI's best guess left blank or marked — you fill in the truth before anything is saved.
Is my lease data used to train AI?
No. Documents are processed to serve your account. See the privacy policy for the full data-handling picture.
Can my tenants get a copy of their lease?
Yes — once a lease document is on file, the tenants on that lease can download it themselves from their portal, including terms that have already ended. That's one less email to answer, and it's the same file you uploaded, not a re-typed summary.
See your rent roll build itself
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