Telegram Invoice Bookkeeper
A document capture agent for multi-location and field operations teams. It polls connected chat groups for invoice and receipt photos, runs vision OCR to pull vendor, date, line items, taxes, and totals, then looks up historical patterns to pick the right vendor record and expense account in your accounting system. It creates a draft Purchase Invoice or Bill, attaches the original photo or PDF, dedupes against recently posted invoices, and notifies you in chat when a draft is ready or a document needs review. Items above your auto-post threshold or with low extraction confidence are always held as drafts for human approval.
Agent snapshot
Built for hospitality work, not a generic template.
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integrations used
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labels matched
Sample input
Build an agent to telegram Invoice Bookkeeper. Use Telegram, QuickBooks, Google Drive, and Slack. Focus on operations. Return a ready-to-review result after each run.
Sample output
Watches your Telegram ops group hourly for invoice photos, extracts every line with vision OCR, maps vendors and expense accounts from your history, and drops draft Purchase Invoices into QuickBooks with the original file attached.
Workflow brief
Where Telegram Invoice Bookkeeper fits in a hospitality automation system
Telegram Invoice Bookkeeper is designed for a specific recurring job: a document capture agent for multi-location and field operations teams. It polls connected chat groups for invoice and receipt photos, runs vision OCR to pull vendor, date, line items, taxes, and totals, then looks up historical patterns to pick the right vendor record and expense account in your accounting system. It creates a draft Purchase Invoice or Bill, attaches the original photo or PDF, dedupes against recently posted invoices, and notifies you in chat when a draft is ready or a document needs review. Items above your auto-post threshold or with low extraction confidence are always held as drafts for human approval. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.
A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.
In this setup Twin uses Telegram, QuickBooks, Google Drive, and Slack as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.
What this agent automates
This run includes 8 concrete steps from the published agent data.
On schedule, fetch new messages from each monitored chat source since the last successful poll
Filter for messages with an image or PDF attachment and route them to vision OCR
Extract vendor name, invoice number, invoice date, currency, line items, tax, and total amount
Match the vendor against the agent database; if missing, apply your vendor match policy
Map line items to expense accounts using the most frequent historical mapping for that vendor
Check for duplicates by vendor + invoice number + total within the duplicate window
Integrations used
Telegram Invoice Bookkeeper connects Telegram, QuickBooks, Google Drive, and Slack.
Telegram
Connected in this agent
QuickBooks
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Google Drive
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Slack
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Plans start at €20/mo