Tax Invoice Guard

InvoiceGuard · Invoice Compliance Guardian — AI-driven invoice deduplication, verification, and compliance report generation. Handles: invoice upload/scan recognition, duplicate detection (AI deduplication), official tax authority verification (Golden Tax Phase 4), compliance report generation (Cai Hui Ban [2023] No.18), and batch invoice processing. Trigger: invoice, duplicate, reimbursement, compliance, fake invoice, verification, OFD, PDF invoice.

InvoiceGuard · Invoice Compliance Guardian

AI-driven invoice deduplication, verification, and full compliance reporting workflow.

Workflow

text

User uploads invoice
    │
    ├── Image / Screenshot / Photo
    │   → miaoda-studio-cli image-understanding for text extraction
    │
    ├── PDF / OFD / XML
    │   → miaoda-studio-cli doc-parse for content extraction
    │
    ▼
Parse key fields (invoice number, date, amount, buyer/seller)
    │
    ▼
AI Deduplication Engine
    │  • Image fingerprint hash comparison
    │  • Key field consistency validation
    ▼
Official Verification (Pro)
    │  • Connect to State Tax Administration verification platform
    │  • Invoice status query (normal/voided/red-flushed)
    ▼
Generate Compliance Report → Write to Feishu Doc (Pro)
    │
    ▼
Return structured results

Feature Details

1. Invoice Upload & Recognition

Supported formats: Image (JPG/PNG), PDF, OFD, XML

bash

# Image invoice → OCR
miaoda-studio-cli image-understanding -i invoice.png

# PDF/OFD/XML invoice → text extraction
miaoda-studio-cli doc-parse --file invoice.pdf --output json

Key fields extracted:

• Invoice type (VAT special / regular / electronic / train ticket / air ticket, etc.)
• Invoice code + invoice number
• Invoice date
• Total amount (tax included)
• Buyer name + tax ID
• Seller name + tax ID
• Goods or service description

2. AI Deduplication Engine

Available in Free + Pro tiers

Triple-validation for duplicate detection:

1. Exact Match: Invoice code + number identical → mark as duplicate
2. Field Hash: Amount + date + buyer/seller generates fingerprint → hash collision detection
3. Image Similarity: Structural similarity comparison (for screenshots/forged tickets)

python

# Core deduplication logic (see scripts/duplicate_checker.py)
# Returns: {is_duplicate: bool, match_type: str, confidence: float}

3. Official Verification (Pro)

Pro tier only

Connects to State Tax Administration VAT invoice verification platform:

• Real-time invoice authenticity verification
• Invoice status: normal / voided / red-flushed / out of control
• Verify invoiced amount against system records

Note: Tax authority verification API requires a business taxpayer developer account. See references/tax-api.md for setup.

4. Compliance Report (Pro)

Pro tier only

Generates structured compliance reports per Ministry of Finance [Cai Hui Ban [2023] No.18]. Now with Feishu native solution:

• Compliance Report → Generate shareable, commentable Feishu cloud documents
• Invoice Details → Auto-import to Feishu Bitable for filtering and analysis

text

Report Structure (6 sections, per Cai Hui Ban [2023] No.18):
├── 1. Basic Info (company name, tax ID, report date)
├── 2. Invoice Summary (total count, amount, by type/month)
├── 3. Deduplication Results (duplicate invoice list)
├── 4. Verification Results (abnormal status invoices)
├── 5. Compliance Conclusion (summary + risk alerts)
└── 6. Attachment List

Standard Markdown Report

Generate Markdown report via scripts/compliance_report.py:

bash

python3 scripts/compliance_report.py <summary_json> <records_json> [buyer_name] [buyer_tax_id]

Feishu Native Solution (Recommended for Pro)

Step 1: Generate Feishu Document Report

Call generate_feishu_compliance_report_markdown() to get Lark-flavored Markdown, then use feishu_create_doc to create a shareable, commentable Feishu document:

python

from scripts.compliance_report import generate_feishu_compliance_report_markdown

markdown = generate_feishu_compliance_report_markdown(
    records=invoice_records,
    summary=report_summary,
    buyer_name="XX Company Ltd",
    buyer_tax_id="91440000XXXXXXXXXX"
)

Step 2: Import Invoice Details to Feishu Bitable

Create a Bitable app and table, define fields, then batch import invoice data:

python

from scripts.compliance_report import create_feishu_bitable_schema, prepare_invoices_for_feishu_bitable

# 1. Create Bitable app
# feishu_bitable_app action="create" name="Invoice Compliance Details"

# 2. Get app_token, create table with preset fields
fields = create_feishu_bitable_schema(app_token)
# feishu_bitable_app_table action="create" app_token="<app_token>" name="Invoice Details" fields=fields

# 3. Prepare and batch import
bitable_records = prepare_invoices_for_feishu_bitable(invoice_records)
# feishu_bitable_app_table_record action="batch_create" app_token="<app_token>" table_id="<table_id>" records=bitable_records

Bitable Fields:

Field	Type	Description
Invoice Code	Text
Invoice Number	Text
Invoice Date	Date	Millisecond timestamp, filterable
Amount	Number	Sortable and aggregatable
Issuer	Text
Status	Single-select	Normal/duplicate/suspicious/abnormal
Verification Status	Single-select	Not verified/normal/voided/red-flushed/out of control

Bitable Benefits:

• Filter by status, date, amount
• Generate pivot tables and charts
• Team collaboration, centralized invoice data

5. Batch Processing

Pro tier only (Free tier limited to 20/month)

Upload hundreds of invoices for automatic queued processing:

• Batch recognition → batch deduplication (cross-batch supported) → batch verification → summary report

Usage Examples

Example 1: Single Invoice Deduplication

text

User: Check if this invoice is a duplicate reimbursement
[Upload invoice image]

→ Call image-understanding → extract key fields → deduplication engine → return result

Example 2: Invoice Verification (Pro)

text

User: Verify this invoice's authenticity
[Upload invoice image]

→ Recognition → call tax authority API → return authenticity status

Example 3: Generate Compliance Report (Pro)

text

User: Generate a compliance report for these invoices
[Upload multiple invoices]

→ Batch recognition → batch deduplication → batch verification → generate Feishu doc

Example 4: Batch Processing

text

User: Process these 50 invoices
[Upload zip or batch files]

→ Extract → recognize → concurrent deduplication → aggregate results

Field Extraction Rules

Invoice Type	Key Fields	Extraction Difficulty
VAT Special Invoice	Code, number, amount, tax, buyer/seller	★★☆
VAT Regular Invoice	Code, number, amount, buyer/seller	★★☆
Electronic Invoice (PDF/OFD/XML)	Complete structured fields	★☆☆
Train Ticket	Date, origin/destination, amount	★☆☆
Air Itinerary	Flight, date, amount, passenger	★☆☆
Taxi Receipt	Date, time, amount	★☆☆

FAQ

Question	Answer
What does tax verification API require?	Business taxpayer status + developer account, limited free quota
How to parse OFD format?	miaoda-studio-cli doc-parse --file invoice.ofd
How is privacy protected?	No invoice raw data stored; processed and discarded immediately
How to distinguish Free vs Pro?	Determined by user selection or context; core logic is consistent
What if image is unclear?	Prompt user to retake or scan; ensure invoice number and amount are visible

References

• Invoice format specs: references/invoice-types.md
• Tax verification API: references/tax-api.md
• Compliance report template: references/compliance-report.md
• Deduplication engine: scripts/duplicate_checker.py

For paid plans, visit YK-Global.com