AI Invoice Scanner for Freelancers
AI Invoice Scanner for Freelancers
Turn messy receipts into organized expense reports in seconds
Freelancers spend 5+ hours monthly manually entering receipts and invoices into spreadsheets. They lose track of deductible expenses, miss tax deadlines, and waste time on tedious data entry instead of doing billable work.
An AI-powered app that scans receipts/invoices via phone camera, automatically extracts key data (vendor, amount, date, category), and syncs to a dashboard for instant expense tracking and tax-ready reports.
Tech Stack
System Architecture
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ā CLIENT ā
ā āāāāāāāāāāāāāāā āāāāāāāāāāāāāāā āāāāāāāāāāāāāāāāāāāāāāā ā
ā ā Camera UI ā ā Dashboard ā ā Expense Reports ā ā
ā āāāāāāāā¬āāāāāāā āāāāāāāā¬āāāāāāā āāāāāāāāāāāā¬āāāāāāāāāāā ā
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ā ā ā
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ā API LAYER ā
ā āāāāāāāāāāāāāāā āāāāāāāāāāāāāāā āāāāāāāāāāāāāāāāāāāāāāā ā
ā ā /api/scan ā ā /api/data ā ā /api/export ā ā
ā ā (Vision AI) ā ā (CRUD ops) ā ā (PDF/CSV gen) ā ā
ā āāāāāāāā¬āāāāāāā āāāāāāāā¬āāāāāāā āāāāāāāāāāāā¬āāāāāāāāāāā ā
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ā ā ā
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ā DATA LAYER ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā ā Supabase (PostgreSQL) āā
ā ā users ā invoices ā expenses ā categories ā reports āā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāDatabase Schema
-- Users table
CREATE TABLE users (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
email TEXT UNIQUE NOT NULL,
name TEXT,
plan TEXT DEFAULT 'free', -- free, pro, business
created_at TIMESTAMPTZ DEFAULT now()
);
-- Invoices/Receipts table
CREATE TABLE invoices (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
user_id UUID REFERENCES users(id),
vendor_name TEXT NOT NULL,
amount DECIMAL(10,2) NOT NULL,
currency TEXT DEFAULT 'USD',
date DATE NOT NULL,
category TEXT,
tax_deductible BOOLEAN DEFAULT false,
image_url TEXT,
raw_text TEXT, -- OCR extracted text
created_at TIMESTAMPTZ DEFAULT now()
);
-- Categories table
CREATE TABLE categories (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
user_id UUID REFERENCES users(id),
name TEXT NOT NULL,
icon TEXT,
color TEXT
);
-- Monthly summaries (materialized view for dashboards)
CREATE MATERIALIZED VIEW monthly_summary AS
SELECT
user_id,
DATE_TRUNC('month', date) as month,
category,
SUM(amount) as total,
COUNT(*) as count
FROM invoices
GROUP BY user_id, DATE_TRUNC('month', date), category;API Endpoints
/api/scanUpload image, run OCR + AI extraction, return structured data/api/invoicesList all invoices with filtering, pagination, and search/api/invoicesCreate new invoice (manual entry or from scan results)/api/dashboardGet aggregated stats: total spent, by category, trends/api/exportGenerate PDF/CSV report for selected date rangeStart Building with AI
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