WAITLIST OPEN · WINDOWS · EST. 2026

Excel stops at
1,000,000 rows.
LocalSheet handles
250 million.

For analysts who work with big raw data files and can't — or won't — send them to the cloud.

No account · No cloud · Your data never leaves your machine

Muhammad Haroon Butt — AI Builder, LocalSheet

// The problem

Built for the files Excel
fundamentally can't handle.

Excel hits its limit

Caps at 1,048,576 rows — and slows down well before that. The files you actually work with don't fit.

Reconciliation is manual

Exact-match only. 30–40% of exceptions end up worked by hand. Multi-file recon across millions of rows isn't possible.

Every alternative requires the cloud

Cloud BI tools, data warehouses, AI analytics — all require you to upload your data. Your data can't leave. End of conversation.

Python works — for engineers

SQL and Python get the job done. Most analysts don't write code, don't want to, and shouldn't have to.

// What LocalSheet does

Everything Excel should have built.
Offline. On your machine.

// 01 — SCALE

Handle data at scale

Open files up to 250M rows — CSV, Parquet, Excel, JSON, SQL dumps
Combine dozens of monthly files into one table, even when columns don't match
Filter, sort, pivot, and chart at full scale without waiting or crashing

// 02 — RECONCILE

Reconcile and find problems

Multi-pass recon: exact → tolerance → fuzzy → many-to-one grouped matching. 85–95% auto-match.
Three-way reconciliation: sale ↔ PSP ↔ bank, or any chained source
File diff: see exactly what changed between two versions of any file
Find near-duplicate records and payments across millions of rows
Detect missing sequences, data quality gaps, and anomalies on open

// 03 — LOCAL AI

Ask in plain English

"Reconcile these two files on invoice number, allow 2-day tolerance — show exceptions." Done.
"What drove the revenue drop?" Get a breakdown by dimension in seconds.
All AI runs locally — no internet, no cloud model, no data exposure

// How it works

Three steps. Zero cloud.

STEP 01

Load your files

Drop in any format, any size. CSV, Parquet, Excel, JSON, SQL dumps. Nothing is uploaded.

STEP 02

Connect or ask

Draw a line between columns to define a join, or type exactly what you want done in plain English.

STEP 03

Get results as sheets

Every analysis, reconciliation, or AI answer lands as a new sheet. Review, export, or build on it.

trades_2026.localsheet LOCAL · 0 NETWORK CALLS

› ▍

● FILTER matched 1,284,902 rows scanned 250,000,000 in 0.41s RAM 2.1 GB · LOCAL

// Who it's for

If your work involves big raw data files,
LocalSheet is built for you.

Analysts doing reconciliation across two or more large files — bank, AP, intercompany, payment settlement, any domain
Anyone whose data cannot or should not be uploaded to a cloud service
Analysts who get CSV or Excel exports from systems and need to do real work on them
Auditors and consultants working on client data that must stay on their machine
Anyone whose workflow involves Excel crashing, waiting, or hitting row limits

Muhammad Haroon Butt AI Builder · LocalSheet

// Data privacy

"Your data stays on your
machine. Always."

No account required. No internet after install. No cloud sync. No telemetry. The AI model runs locally — it never phones home. Built for teams under data residency laws, corporate IT upload restrictions, and client confidentiality requirements.

// The competitive gap

Why analysts are stuck choosing between
too small and too expensive.

Capability	Excel	Cloud recon tools (BlackLine, FloQast)	LocalSheet
Row limit	1M	Unlimited	250M
Offline / local	✓	✗	✓
Fuzzy + many-to-one recon	✗	✓	✓
Price	Included in Office	$30K–$300K/year	Spreadsheet price
Setup	Instant	6-month IT project	MSI installer
AI — local, offline	✗	✗	✓

Early access · Limited spots

250M rows.
Your laptop. Offline.

Early access is limited. Join the waitlist to be first in line when we open the doors.