LeaseLens vs Lextract
Monthly subscription vs pay-per-lease. Fields, Argus support, APAC tuning, HK data residency — honest side-by-side for 2026.
Updated 2026-04-23 · Published by NeoLain Trading Co. Limited
TL;DR
- Pick LeaseLens if you abstract leases every month on a predictable cadence and want a flat subscription with team workflow built in.
- Pick Lextract if you need occasional per-lease abstractions with no commitment and do not want a monthly subscription.
- Both tools return page-cited, confidence-scored field extraction. The split is mostly a pricing and workflow decision, not a quality one.
Why is this comparison worth reading?
Lextract and LeaseLens are the two most honest options on the 2026 market for teams that want real abstracts back in minutes, not a multi-month implementation.
Lextract pioneered pay-per-lease. LeaseLens is a subscription-first product built for APAC boutique CRE. This page is written by LeaseLens; where Lextract genuinely wins, we say so.
Feature-by-feature
What each tool actually does
| Feature | LeaseLens | Lextract |
|---|---|---|
| Pricing model | Monthly subscription | Pay per lease |
| Entry price | HK$480 / mo for 10 leases (Y1 pilot) | USD $10 per lease (volume) |
| High-volume tier | HK$6,800 / mo for 200 leases (Y1 pilot) | Scales linearly |
| Free trial | 5 leases, no card | Sample PDF preview |
| Fields extracted | 40 to 60 curated | 126 curated |
| Page-level citations | Yes | Yes |
| Per-field confidence | Yes | Yes |
| Red-flag clause detection | Roadmap Q3 2026 | 20 automated checks |
| Scanned PDF / OCR | Yes | Yes |
| Excel export | Yes | Yes |
| Argus-compatible CSV | Yes | No (Excel only) |
| JSON / API | Pro tier and above | Yes |
| Word export | No | Yes |
| Custom schema fields | Up to unlimited on top tiers | Limited |
| Team seats | Pro and above | Single-user focused |
| APAC lease format tuning | HK, SG, JP English leases | US lease format priority |
| Data residency | Cloudflare R2 AP-East + Supabase Tokyo | US default |
| SOC 2 | Type I targeted Q4 2026 | Claimed |
Pricing
How Lextract and LeaseLens price across usage
| Usage profile | LeaseLens | Lextract |
|---|---|---|
| 5 leases / month | HK$480 (Starter; under-utilized) | USD $45 (~HK$350) |
| 10 leases / month | HK$480 (Starter) | USD $85 (~HK$660) |
| 25 leases / month | HK$2,200 (Pro) | USD $212 (~HK$1,650) |
| 50 leases / month | HK$2,200 (Pro) | USD $425 (~HK$3,300) |
| 100 leases / month | HK$6,800 (Business) | USD $850 (~HK$6,600) |
| 500 leases / month | Enterprise (talk to us) | USD $4,250 (~HK$33,000) |
| 1,000 leases / month | Enterprise (talk to us) | USD $8,500 (~HK$66,000) |
Under Y1 founding-customer pricing, LeaseLens is the cheaper option per lease at 10+ leases per month. Lextract remains the better fit for irregular, one-off abstraction — if you do 3 leases this month and zero the next two, pay-per-lease avoids the monthly subscription commitment. At steady monthly volume of 25+ leases the gap widens in LeaseLens's favor, and Argus CSV, team seats, and APAC tuning are bundled rather than unavailable.
Honest scenarios
Best for — no fluff
Lextract wins when
- 1
You abstract leases irregularly
A small family office that closes two acquisitions a year and needs 8 to 12 leases abstracted each time pays on Lextract per-use, versus a monthly subscription locked in at LeaseLens.
- 2
You need 100+ fields out of the box
Lextract ships with 126 fields versus our 40 to 60 curated. If your team needs every accessory clause (signage rights, HVAC exclusivity, operating hour restrictions) captured by default, Lextract has more coverage.
- 3
You want automated red-flag detection today
Lextract ships 20 canned risky-clause checks (unusual holdover, uncapped CAM, unlimited assignment). LeaseLens is adding flag detection in Q3 2026; if you need it today, go with Lextract.
LeaseLens wins when
- 1
You run a monthly abstraction cadence
Boutique REIT desks and CPA firms that audit the same portfolio each quarter benefit from unlimited reabstracts on a flat fee.
- 2
You need Argus-compatible CSV out of the box
CRE acquisition teams running Argus AE or Enterprise get a direct CSV template; Lextract requires manual mapping from Excel.
- 3
You are in HK, SG, or Japan with English-language office leases
LeaseLens is tuned on APAC office lease formats; Lextract's extraction is US-default. In our internal test set, LeaseLens extracts APAC-specific fields (HKD / SGD / JPY rent, sqft vs sqm, inclusive vs exclusive management fees) more reliably.
- 4
You need APAC data residency
LeaseLens runs on Cloudflare R2 AP-East (HK) + Supabase Tokyo + Vertex AI Tokyo. Lextract defaults to US residency.
Accuracy
Accuracy
Both tools publish directional accuracy claims in the low to mid 90s on English-language commercial office leases. Neither has a peer-reviewed public benchmark. Run your own pilot on 5 of your real leases before committing — both vendors offer free samples. The pilot is the only honest accuracy test.
Target customer
Who each tool is built for
LeaseLens
Boutique APAC CRE brokerages, small REIT analyst desks, HK CPA firms doing REIT audit, and family offices running portfolios of 20 to 500 leases with predictable monthly abstraction work.
Lextract
Brokers, tenant reps, property managers, and acquisition teams that want ad-hoc per-lease processing.
Scope
What neither tool does
- Neither offers direct Yardi or MRI API write-back in 2026. Both export to Excel or JSON and require a light scripting step.
- Neither replaces legal review. Output is structured data, not legal advice.
- Neither supports Traditional Chinese or Japanese scanned leases in v1. LeaseLens has that on the public roadmap; Lextract has not announced timing.
Bottom line
If your team abstracts leases irregularly (a handful of deals per quarter) Lextract's pay-per-lease pricing is genuinely the better economics — no subscription to pay in idle months. If your team runs a steady monthly cadence of 10+ leases, needs Argus CSV, wants APAC lease format tuning with HK data residency, or wants team seats bundled, LeaseLens at Y1 founding-customer pricing is the fit.