Michael
e7ec79b9b5
Reorients the whole sales surface to accounting so it matches the rebuilt demos. Replaces the Shopify and RevOps persona pages with accounts-payable (1099) and accounts-receivable pages, refreshes the bookkeeper page, and rewires the hub + deploy tooling: - landing/bookkeeper/ — refreshed to the validated bank-rec demo (26 -> 20, six phantom duplicates), iframe ?p=bookkeeper. - landing/ap-1099/ — NEW (replaces shopify-pet/): 1099 vendor prep, "24 records -> 8 vendors, 7 missing EINs recovered", iframe ?p=ap-1099, amber accent. - landing/ar-aging/ — NEW (replaces revops/): AR open invoices, "26 -> 21, five double-entered invoices removed", iframe ?p=ar-aging, green accent. - landing/index.html — hub rewritten with the three accounting cards. - deploy.py / deploy.config.example.json / README.md / _shared/styles.css — persona list, sitemap defaults, 404 links, cross-links, docs updated. All demo iframes now point at the renamed app_demo personas; deploy.py builds the dist bundle cleanly (verified) and the Gumroad ?from= tags match. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
366 lines
19 KiB
HTML
366 lines
19 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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<title>DataTools for Bookkeepers — Catch Bank Transactions Posted Twice · $49</title>
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<meta name="description" content="Catch the transactions your bank export posted twice. Standardize every date to ISO and every amount to numeric, then dedup on the real transaction so the reconciliation ties out — with a row-level audit trail. $49 one-time." />
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<meta name="keywords" content="bank reconciliation, duplicate transactions, bank export csv cleanup, QuickBooks reconcile, bookkeeper csv tool" />
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<link rel="canonical" href="https://datatools.app/bookkeeper/" />
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<link rel="stylesheet" href="../_shared/styles.css" />
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<!-- Persona accent: Bookkeeper → calm steel-blue -->
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<style>
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:root {
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--accent: #7dd3fc;
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--accent-ink: #042c43;
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}
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</style>
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<!-- Open Graph -->
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<meta property="og:title" content="DataTools for Bookkeepers — Catch Bank Transactions Posted Twice" />
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<meta property="og:description" content="The same payment posts twice in two date/amount formats and a plain dedupe misses it. DataTools standardizes, dedups on the real transaction, and hands you an audit trail. $49 one-time." />
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<meta property="og:type" content="product" />
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<meta property="og:url" content="https://datatools.app/bookkeeper/" />
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<script type="application/ld+json">
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{
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"@context": "https://schema.org",
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"@type": "SoftwareApplication",
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"name": "DataTools for Bookkeepers",
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"operatingSystem": "Windows, macOS, Linux",
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"applicationCategory": "BusinessApplication",
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"offers": {
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"@type": "Offer",
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"price": "49",
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"priceCurrency": "USD"
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},
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"description": "Catch the duplicate transactions your bank export posted twice across overlapping months, standardize dates and amounts, and produce a hand-off-ready audit trail. Six-tool data-cleaning bundle for bookkeepers and freelance accountants.",
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"softwareVersion": "1.0"
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}
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</script>
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</head>
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<body>
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<div class="buybar">
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<div class="buybar-inner">
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<div class="brand"><span class="brand-mark">●</span> DataTools <span class="muted">/ for Bookkeepers</span></div>
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<div>
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<span class="price-tag">$49 — one-time, no subscription</span>
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<a class="btn" href="https://gumroad.com/l/datatools?from=bookkeeper" rel="noopener">Get DataTools for Bookkeepers — $49 →</a>
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</div>
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</div>
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</div>
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<section class="hero">
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<div class="container">
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<div class="eyebrow">For bookkeepers · freelance accountants · small-firm partners</div>
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<h1>Catch the transactions your bank export<br /><strong>posted twice.</strong></h1>
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<p class="lead">
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The Jan and Feb exports overlap, so the <em>same</em> payment posts
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twice in two different shapes — <code>01/15/2025 +$3,450.00</code>
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in one export and <code>2025-01-15 3450.00</code> in the
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other — and a plain Excel dedupe never catches it because the dates and
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amounts don't match character-for-character. DataTools standardizes
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every date to ISO and every amount to numeric (parens-negatives
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resolved), then dedups on the <em>real</em> transaction so the
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reconciliation ties out. On the sample export that's
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<strong>26 rows → 20</strong> — six phantom duplicate transactions
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removed, 36 date/amount cells standardized, 0 unparseable — and you
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get a row-by-row CSV showing every change so your client can verify
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your work.
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</p>
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<div class="cta-row">
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<a class="btn btn-large" href="https://gumroad.com/l/datatools?from=bookkeeper" rel="noopener">Get DataTools for Bookkeepers — $49 →</a>
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<a class="btn btn-ghost btn-large" href="#demo">Try the live demo ↓</a>
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<span class="price-note">One-time payment · cross-platform · runs offline</span>
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</div>
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<div class="stats">
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<div class="stat"><div class="num">26→20</div><div class="label">rows, on the sample export</div></div>
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<div class="stat"><div class="num">6</div><div class="label">phantom duplicates removed</div></div>
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<div class="stat"><div class="num">0</div><div class="label">cloud uploads ever</div></div>
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</div>
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</div>
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</section>
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<!-- ============= Pain points ============= -->
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<section>
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<div class="container">
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<div class="eyebrow">If you've spent a Saturday on this, you already know</div>
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<h2>Five pains DataTools fixes in one pass</h2>
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<div class="grid">
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<div class="card">
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<span class="icon">📅</span>
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<h3>Jan and Feb bank exports overlap — the same transaction posts twice</h3>
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<p>QuickBooks (or any reconciler) silently double-counts the month-boundary rows. Your client's books understate cash by 1–4 % and nobody notices until tax season.</p>
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<p class="muted"><strong>What it costs:</strong> 2–4 hours per month per client + reconciliation errors that can compound.</p>
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</div>
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<div class="card">
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<span class="icon">📒</span>
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<h3>1099 reports break because vendors are spelled three ways</h3>
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<p>"Amazon", "amazon.com", "AMAZON.COM*4F2X9" become three separate vendors in QBO. You ship three 1099s instead of one — and the 1099-NEC threshold breaks both ways.</p>
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<p class="muted"><strong>What it costs:</strong> 1–2 hours per 1099 cycle + IRS-paper-trail risk.</p>
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</div>
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<div class="card">
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<span class="icon">🛡️</span>
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<h3>"Show me what you changed" — your liability hangs on the answer</h3>
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<p>Cloud cleaners that "just clean your data" don't give you a row-level audit log. Your professional indemnity insurance hates that. Your client's auditor hates that. You hate explaining it.</p>
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<p class="muted"><strong>What it costs:</strong> per-firm liability premium + 24–48 hr audit-response window stress.</p>
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</div>
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<div class="card">
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<span class="icon">👥</span>
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<h3>Per-client SaaS pricing destroys your margins at 10+ clients</h3>
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<p>$30/mo per client × 20 clients = $600/mo, every month, for tooling. DataTools is a one-time desktop license you use on every client's books for the same $49. Forever.</p>
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<p class="muted"><strong>What it costs:</strong> the difference between a $30/mo/client subscription and $49 once.</p>
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</div>
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<div class="card">
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<span class="icon">🌍</span>
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<h3>Multi-currency books break standard parsers</h3>
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<p>Your client has EU customers. Their amounts come in as <code>€1.234,56</code> (comma decimal). Standard import tools see "1.234" as the whole-dollar amount and drop the rest. Parens-negative <code>($89.50)</code> gets read as positive.</p>
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<p class="muted"><strong>What it costs:</strong> 30–60 min per multi-currency client per month + occasional silent errors.</p>
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</div>
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<div class="card">
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<span class="icon">🔒</span>
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<h3>Your client's books are too sensitive for a cloud cleaner</h3>
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<p>One "vendor breach" email to your clients ends the relationship. DataTools is desktop-only. No upload, no SaaS account, no third party seeing a single transaction. Verifiable in your browser's network tab.</p>
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<p class="muted"><strong>What it costs:</strong> nothing — and that's exactly the point.</p>
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</div>
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</div>
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</div>
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</section>
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<section id="demo">
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<div class="container">
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<div class="eyebrow">Live demo · runs in your browser</div>
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<h2>Try it on a sample bank export with a known overlap</h2>
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<p>
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The demo below loads a 26-row export combining January and February
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activity, with the month-boundary rows duplicated across exports —
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the exact scenario where QuickBooks (or any reconciler) silently
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double-counts transactions. Click <strong>Run pipeline</strong> and
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watch it standardize 36 date/amount cells, land every date in ISO
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format, turn the parens-negative amounts (<code>($89.50)</code>) into
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proper negatives, flag the disguised-null categories, and dedup the
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export down to <strong>20 real transactions</strong> — six phantom
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duplicates removed, 0 unparseable.
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</p>
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<div class="demo-frame">
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<iframe
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src="https://demo.datatools.app/?p=bookkeeper"
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loading="lazy"
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title="DataTools live demo — Bookkeeper"
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sandbox="allow-scripts allow-same-origin allow-downloads allow-forms"></iframe>
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<div class="demo-caption">
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Demo runs on free hosting. Capped at 100 input rows · output
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watermarked. The paid product has no caps and runs entirely offline.
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</div>
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</div>
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</div>
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</section>
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<section>
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<div class="container">
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<div class="eyebrow">Built for the bookkeeper's actual day</div>
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<h2>Four workflows the rest of the industry tax-codes around</h2>
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<div class="grid">
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<div class="card">
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<span class="icon">🏦</span>
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<h3>Bank export reconciliation</h3>
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<p>Two months of activity overlap at the boundary. The same transaction posts twice — once in each export — with different formatting. DataTools dedups on Date + Amount + fuzzy Vendor and catches all of them.</p>
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</div>
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<div class="card">
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<span class="icon">📒</span>
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<h3>Vendor list consolidation</h3>
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<p>QuickBooks has <code>amazon.com</code>. Your spreadsheet has <code>Amazon</code>. The bank statement has <code>AMAZON.COM*4F2X9</code>. Standardize the casing, fuzzy-match across sources, hand the client one clean vendor list.</p>
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</div>
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<div class="card">
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<span class="icon">👥</span>
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<h3>Customer master cleanup pre-migration</h3>
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<p>Before moving from one accounting system to another, the customer master needs to be deduped, standardized, and audited. One tool, one pipeline, one CSV in / clean CSV out.</p>
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</div>
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<div class="card">
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<span class="icon">🧾</span>
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<h3>Expense report dedup</h3>
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<p>Same receipt scanned twice. Same Uber ride entered manually and then imported from the corporate card. Catch them once — and produce the audit log that proves the duplicate <em>was</em> a duplicate.</p>
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</div>
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</div>
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</div>
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</section>
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<section>
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<div class="container">
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<div class="eyebrow">The feature your liability insurance cares about</div>
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<h2>Every change auditable. Period.</h2>
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<p>
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Every cell DataTools modifies is logged with the original value, the
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new value, and which rule fired. When your client asks why a
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transaction got merged or a date got reformatted, you don't say
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"the AI did it." You hand them the CSV.
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</p>
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<div class="callout">
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<strong>Why this matters specifically to bookkeepers:</strong> your
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professional liability hangs on traceability. Cloud cleaners that
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"just clean your data" without a row-level audit are unsafe at any
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price. DataTools writes the audit by default, downloadable as a
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separate CSV alongside the cleaned file.
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</div>
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<div class="terminal"><span class="prompt">$</span> python -m src.cli_pipeline bank_reconciliation.csv --pipeline bank_reconciliation_pipeline.json --apply
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standardize · 36 date/amount cells normalized (ISO dates, numeric amounts, parens-negatives resolved)
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missing · disguised-null categories flagged (—, N/A, (blank))
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dedup · 6 phantom duplicate transactions removed
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rows · 26 → 20 · 0 unparseable
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✓ wrote bank_reconciliation.cleaned.csv + bank_reconciliation.changes.csv (row-level audit)
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<span class="prompt">$</span> head -4 bank_reconciliation.changes.csv
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row,column,field_type,old,new
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0,"Date ",date,"01/15/2025","2025-01-15"
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0,Amount,currency,"+$3,450.00","3450.00"
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0,Category,category,"—","(missing)"
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</div>
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</section>
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<section>
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<div class="container">
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<div class="eyebrow">The thing every cloud reconciler can't say</div>
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<h2>Your client's books never leave your computer.</h2>
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<p>
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Your clients trust you with their books. That trust is one
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"we noticed our data appeared in a vendor breach" email away from
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gone. DataTools is a desktop app — no upload, no SaaS, no
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subscription, no third party seeing a single transaction.
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</p>
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<div class="callout">
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<strong>Confirm it yourself.</strong> Open your browser's network
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tab when DataTools is running. Click around. Run the pipeline.
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Zero outbound requests. Ever.
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</div>
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</div>
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</section>
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<section>
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<div class="container">
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<div class="eyebrow">If your clients run multi-currency books</div>
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<h2>$ £ € ¥ R$ kr zł — handled.</h2>
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<p>
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Standardize <code>$1,234.56</code>, <code>1.234,56 €</code> (EU
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decimal), <code>($89.50)</code> (parens-negative),
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<code>R$ 250,00</code>, <code>kr 1.250,50</code>, and the rest of
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the long tail. Output is canonical numeric (your import tool's
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favourite shape) with optional ISO 4217 prefix
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(<code>USD 1234.56</code>) when you need to preserve the
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currency.
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</p>
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<ul class="bullets">
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<li><strong>Auto-detect</strong> EU comma decimal so your French and German clients' books reconcile without per-locale config.</li>
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<li><strong>Parens-negative</strong> handled — accounting convention, not just a math style.</li>
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<li><strong>Multi-character prefixes</strong> like <code>R$</code> (Brazilian Real) and <code>kr</code> (Nordic) detected before the single-symbol regex so they don't get bucketed as USD.</li>
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</ul>
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</div>
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</section>
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<section>
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<div class="container">
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<div class="eyebrow">In the bundle</div>
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<h2>Six tools. One pipeline. One $49 download.</h2>
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<div class="grid">
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<div class="card"><h3>1 · Find Duplicates</h3><p>Fuzzy match (Jaro-Winkler), explicit strategies for Date+Amount+Vendor, survivor rules.</p></div>
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<div class="card"><h3>2 · Clean Text</h3><p>Header whitespace, smart quotes from copy-paste, em-dash sentinels.</p></div>
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<div class="card"><h3>3 · Standardize Formats</h3><p>ISO dates, numeric amounts (parens-negative), vendor casing, multi-currency.</p></div>
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<div class="card"><h3>4 · Fix Missing Values</h3><p>Disguised-null detection: <code>—</code>, <code>N/A</code>, <code>(blank)</code>, <code>?</code>.</p></div>
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<div class="card"><h3>5 · Map Columns</h3><p>Project to your accounting tool's required schema, coerce types, drop extras.</p></div>
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<div class="card"><h3>6 · Automated Workflows</h3><p>Save the cleanup. Run it on next month's export with one command. Same audit, automated.</p></div>
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</div>
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</div>
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</section>
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<section>
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<div class="container">
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<div class="eyebrow">Pricing — pay once, own it</div>
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<h2>$49. No subscription. No per-client license.</h2>
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<div class="pricing">
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<div class="card featured">
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<div class="row"><div class="price">$49</div><div class="price-suffix">one-time</div></div>
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<h3>DataTools for Bookkeepers</h3>
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<ul>
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<li>All 6 tools, full pipeline</li>
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<li>Mac · Windows · Linux installers</li>
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<li>Code-signed (no Gatekeeper warnings)</li>
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<li>Free updates for the v1.x line</li>
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<li>Bonus: ready-made bank-reconcile and vendor-cleanup pipelines</li>
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<li><strong>Use on any number of clients</strong> — no seat limits</li>
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</ul>
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<a class="btn btn-large" href="https://gumroad.com/l/datatools?from=bookkeeper" rel="noopener">Buy on Gumroad →</a>
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||
</div>
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<div class="card">
|
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<div class="row"><div class="price">$199</div><div class="price-suffix">one-time</div></div>
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<h3>+ Priority email support</h3>
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<p class="muted">Available post-launch. 24-hour async response on edge cases. Same product. Targeted at bookkeepers whose own time is > $200/hr.</p>
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<a class="btn btn-ghost btn-large" href="#" aria-disabled="true">Coming soon</a>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</section>
|
||
|
||
<section>
|
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<div class="container">
|
||
<h2>Questions</h2>
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|
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<details class="faq">
|
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<summary>Does this replace QuickBooks / Xero?</summary>
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<p>No — DataTools cleans the data <em>before</em> it goes into your accounting system, or after you export it for analysis. It sits alongside QB/Xero, not in place of them. Think of it as the import-clean-up step that should have shipped with the bank export feature in the first place.</p>
|
||
</details>
|
||
|
||
<details class="faq">
|
||
<summary>Can I use it on multiple clients without paying again?</summary>
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||
<p>Yes. The licence is per-bookkeeper, not per-client. Run it on every client's books for the same $49.</p>
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||
</details>
|
||
|
||
<details class="faq">
|
||
<summary>What's the audit log look like in court?</summary>
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||
<p>It's a CSV with five columns per change: <code>row, column, field_type, old, new</code>. Plus a JSON pipeline file describing exactly which rules ran in which order. Together they reproduce the cleanup deterministically — your client (or their auditor) can verify it on their machine.</p>
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||
</details>
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||
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||
<details class="faq">
|
||
<summary>How does it handle Excel-only weirdness like serial dates?</summary>
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<p>Excel serial dates (the number 45295 = 2024-01-15) are detected and converted automatically. So are Unix timestamps in seconds and milliseconds, RFC 2822 dates from email exports, partial-precision dates (<code>2024-01</code>, <code>2024-Q1</code>), and locale-specific month names in English/French/German.</p>
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||
</details>
|
||
|
||
<details class="faq">
|
||
<summary>What about my clients' privacy?</summary>
|
||
<p>Your clients' books never leave your computer. The cleaner is a desktop app with zero network code in the data path. You can verify this in your browser's network tab.</p>
|
||
</details>
|
||
|
||
<details class="faq">
|
||
<summary>What's your refund policy?</summary>
|
||
<p>Try the live demo above on the sample dataset before you buy. If DataTools doesn't fit your workflow within 14 days, email for a refund — no questions asked.</p>
|
||
</details>
|
||
</div>
|
||
</section>
|
||
|
||
<section>
|
||
<div class="container" style="text-align: center;">
|
||
<h2>Stop reconciling bank exports by hand.</h2>
|
||
<p class="lead" style="margin: 0 auto 28px;">One $49 download. Catches the duplicate transactions QuickBooks imported twice, standardises dates and amounts and vendor casing, and hands you a row-level audit log to share with your client.</p>
|
||
<a class="btn btn-large" href="https://gumroad.com/l/datatools?from=bookkeeper" rel="noopener">Get DataTools — $49 →</a>
|
||
</div>
|
||
</section>
|
||
|
||
<footer>
|
||
<div class="container">
|
||
<div>
|
||
<p><strong>DataTools</strong> — local data-cleaning for bookkeepers, accounts payable, and accounts receivable teams.</p>
|
||
<p class="muted">© 2026 · Built solo · Shipped from a small office.</p>
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||
</div>
|
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<div>
|
||
<p>
|
||
<a href="../ap-1099/">For accounts payable / 1099</a> ·
|
||
<a href="../ar-aging/">For accounts receivable</a><br />
|
||
<a href="https://gumroad.com/l/datatools?from=bookkeeper">Buy on Gumroad</a> ·
|
||
<a href="mailto:hello@datatools.app">Email support</a>
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