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Hotel contract digitisation and rate loading without the retyping. AI reads property details, room types, rates by season, taxes, meal plans, policies and offers into one clean template. Every value gets a confidence score. Only low-score fields go to a person, shown next to the original page.

  • PDF · scan · Excel · CSV · Wordhotel contracts, in any layout
  • A score on every fieldpeople review only what is uncertain
  • One click to bookableno publishing step, no delay

Any format, any hotel contract

Upload hotel contracts as PDF, scanned PDF, Excel, CSV or Word, including scans and tables photographed into a PDF. A season grid on page 4, a child policy in a footnote and taxes on the last line are all read where they are.

  • 1
    Rooms, occupancy and meal plans

    Room types, occupancy rules, meal plans and supplements.

  • 2
    Seasons, policies and offers

    Rates by season, children, cancellation tiers, minimum stays, charges and offers.

  • 3
    Several hotels in one file

    One document covering several properties becomes several contracts, each linked to its hotel.

Upload contract screen: a hotel contract PDF attached, the hotel linked, and the steps that follow: upload, extract, review, approve. (opens the full-size screenshot in a new tab)
Add a contract in one step. Reading starts automatically and the file is linked to its hotel.

Rate loading into one clean template, whatever the supplier sent

AI reads the contract and pulls out property details, room types, rates by season, taxes, meal plans, policies and offers into one clean template. Dates, currencies, seasons and rate calculations are then standardised by rules, not guesswork, so the numbers are consistent and easy to check.

The result is what your team sells from: the same fields feed search, proposals and bookings.

Every contract lands in the same structure, so search and pricing never depend on the supplier's layout.
A contract's Room Types tab: each room with its seasons, dates and rates for single, double, extra adult and child occupancy. (opens the full-size screenshot in a new tab)
Room types, seasons and rates, extracted into one structure for every contract.

A confidence score on every field

Every extracted value gets a score. Only the low-score fields come to your team; the rest go straight through. That is the whole review: a short list, not a 38-page PDF.

  • High confidence

    Read cleanly and consistent with the rest of the contract. Goes straight through.

  • Needs review

    Unclear on the page, or missing. Shown to a person beside the original.

  • Conflict

    Contradicts another field, such as two seasons that overlap.

Low-confidence fields are flagged; the rest go straight through.
A contract ready to approve: confidence badges for system and AI scores beside the extracted property fields, each editable. (opens the full-size screenshot in a new tab)
Two confidence scores on the contract, and every field open to a correction before approval.
The contract library: totals, average confidence, hotels covered, and a list of contracts with status, confidence score and validity. (opens the full-size screenshot in a new tab)
The contract library, with confidence and status on every contract.

Rules, not guesswork

Dates, currencies, seasons and rate maths are standardised by rules. Then automatic consistency checks flag problems before a contract can be approved.

Overlapping rate dates

Mid ends 30 Jun, High starts 30 Jun. Which rate does the night of the 30th get?

Needs review

Mismatched room counts

The allotment table lists 6 Ocean Rooms; the rate table prices 8.

Conflict

Wrong cancellation tiers

A tier that charges less closer to arrival than further out.

Conflict

Missing policies

No cancellation tier for Peak season, or no child policy for the suites.

Needs review

Check the number beside the page it came from

Agents see extracted values next to the original page, so they can confirm a number in seconds instead of searching through a long PDF.

Vision recovery reads image-only tables, such as tick-mark amenity matrices, that normal OCR cannot parse, so nothing on the page is missed.

The flagged value and its source, side by side. Nobody scrolls a 38-page PDF to find it.
Compare with original: the extracted property fields on the left and the original contract PDF open beside them on the right. (opens the full-size screenshot in a new tab)
Compare with original: the extracted data beside the real contract, page by page.

One click to bookable, with every edit on record

Once a contract is reviewed and approved it is bookable at once. There is no extra publishing step or delay: the rates appear in search, in proposals and in your Partner API.

Every change made during review is recorded, who changed what and when, so a rate can always be traced back to the page and the person behind it.

Before, after, who and when, for every field touched in review.
A contract's Logs tab listing who uploaded and who approved the contract, and when. (opens the full-size screenshot in a new tab)
Contract history: what happened to the contract, by whom and when.

See what the extraction did, field by field

Not a black box. Every retry, fallback and classification decision is recorded, and every contract scan is counted against your AI credits.

Extraction diagnostics

Season dates overlap: Mid ends 30 Jun, High starts 30 JunNeeds review
No cancellation tier for Peak seasonConflict
Amenity tick-mark table read from the scan, 18 of 18 cellsRecovered

AI credits, per contract scan

1

contract scan for Azure Cove Resort.pdf, all 38 pages · illustrative

Countedper contract scan
Creditsbought with your plan, topped up
How AI credits work

Questions contracting teams ask

Which contracts can it read?

Hotel contracts as PDF, scanned PDF, Excel, CSV or Word, in whatever layout the hotel sent. One file covering several hotels becomes several contracts.

What happens to a field with a low score?

Every extracted value gets a confidence score. Only the low-score fields are shown to a person, next to the original page, so they can be confirmed in seconds. The rest go straight through.

Can it read tick-mark amenity tables?

Yes. Vision recovery reads image-only tables, such as tick-mark amenity matrices, that normal OCR cannot parse, so nothing on the page is skipped.

Who changed a rate, and when?

Every change made during review is recorded at field level: who changed what, when, and the value before and after. The same trail sits in the platform's audit log.

Send us the contract your team dreads loading

Send it before the call. We load it while you watch, and you see every flagged field beside the page it came from.

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