AI receipt scanner: parsing and categorization

Receipts from wallet: automate expenses in minutes, not hours of manual work

Agent processes receipt photos (smartphone camera, PDF), extracts amount, date, store, items, auto-categorizes (food, transport, entertainment), syncs with expense tracker (Expensify, Zoho Books) and accounting. Integrates with Telegram, WhatsApp, Google Drive, email. $19/mo.

366k+⭐ OpenClaw on GitHub
<5minutes to launch

Sound familiar?

What's eating your time

Expense claims = a pile of manual work: photograph receipt, type amount, select category, fill form

Receipts get lost: took photo, forgot where file is, then need to recalculate what you spent

No categorization system: employee says 'food' but it was coffee, report inaccurate

Accountant has to re-enter: expense report arrived, must retype everything into accounting system

Capabilities

What your AI agent can do

OCR and receipt parsing

Agent processes photo or PDF receipt, extracts: amount, date, store name, item list (if shown), payment method. Works with receipts in Russian, English, 50+ languages.

Auto-categorization

Agent analyzes store and items → auto-selects category: food, transport, entertainment, office, travel, other. 95%+ accuracy. Can override if incorrect.

Sync with expense tracker

Parsed receipts auto-added to Expensify, Zoho Books, or expense tool. Employee sees expenses in app, already categorized and ready to approve.

Group reports and analysis

Weekly: spending by category, trends ('Coffee expenses growing, block coworking cafe?'). Monthly report ready in minutes, not hours of reconciliation.

Messenger integration

Employee sends receipt photo to Telegram or WhatsApp bot → agent immediately parses, categorizes, adds to tracker. No app needed, just phone.

Works with your tools

Telegram
WhatsApp
Google Drive
Expensify
Zoho Books
Slack
How it works

Get started in a few steps

1

Employee photographs receipt

Employee photographs receipt on street or at home, sends to Telegram bot or uploads to Google Drive folder. No app needed, just phone camera.

2

Agent parses and categorizes

Agent processes photo (OCR), extracts: date, amount, store. Analyzes items → selects category (food, office, transport). Usually 5–10 seconds.

3

Adds to expense tracker

Parsed info auto-added to Expensify, Zoho Books, or system. Data ready to approve: amount, date, category — all there.

4

Employee approves and submits

Employee opens expense app, sees all receipts for period already categorized. Reviews (2 minutes), clicks 'Submit report' — done.

5

Accountant sees ready report

Expense report arrives in accounting with OCR data, categories, docs (receipt photos). No re-entry or guessing. Straight from expense tracker → accounting system (QuickBooks, 1C).

FAQ

Frequently asked questions

Yes, 50+ languages. Russian receipts, English, European — agent recognizes. Category picked by items regardless of language.

Want OpenClaw — without the DevOps?

OpenKlo is managed hosting for the original OpenClaw. Same agent, live in 3 minutes.

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