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Global Invoice Recognition and extraction(ADP)

该工具基于Laiye ADP,支持全球100+语言、多格式发票(电子PDF、扫描件、照片)的高精度识别提取,可精准获取发票号、日期、买卖方信息、金额、税费及明细行等关键字段,准确率达95%+。支持单文件/批量/异步处理,输入含URL、本地文件、Base64编码,输出标准化结构化JSON,适用于应付账款自动化、费用报销、跨境贸易单据处理场景,零配置开箱即用,新用户享免费额度。

laiye-adp
laiye-adp
热度 55.17
最近更新 2026-05-20 10:59:39
分类:效率依赖:代码执行 / 第三方 API / 读写文件应用场景:数据处理 / 财务 / 自动化脚本

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add adp-invoice-recognition-and-extract
Metadata
name
invoice-recognition-and-extract
description
Multi-language, multi-currency global invoice recognition and extraction — accurately extracts invoice number, date, supplier, buyer, currency, tax amount, total amount, and line items, outputting structured JSON. Zero-configuration, out-of-the-box, suitable for accounts payable automation, expense reimbursement, and cross-border trade document processing.

Global Invoice Recognition and Extraction Skill

Powered by Laiye ADP (Agentic Document Processing), this skill delivers intelligent, high-precision parsing and information extraction for standard and non-standard invoices, bills, and vouchers from all regions worldwide. It supports all file types including electronic PDFs, scanned documents, and photographs, and outputs standardized structured JSON data for seamless integration with business processes and downstream automation.

New users receive 100 free credits per month (refreshed monthly) for invoice extraction and other document processing scenarios. Limited-Time Offer: Use the invoice extraction feature for the first time and receive an additional 1,000 free pages of global invoice extraction — limited to the first 100 users only, first come first served! ADP provides a standard commercial API that can be integrated into business systems within 1 hour. Register now: Global | China Mainland

Why choose us?

  • Global invoices with zero barriers — multi-language, multi-format precision recognition
  • 100+ languages fully covered: English, Japanese, Korean, German, French, Thai, and all other major languages — invoices and receipts all supported
  • Adaptive to all formats: standard VAT invoices, unstructured receipts, mixed-format bills — all recognized
  • 95%+ accuracy: precise extraction of key fields, dramatically reducing manual verification, translation, and data entry costs
  • Agentic self-optimization: continuously fine-tuned on your business data — the more you use it, the more accurate and tailored it becomes

Quick Start Guide

Core Workflow

  1. Install dependencies: On first run, install the ADP CLI tool.
  2. Authentication setup: On first run, execute adp config get to check credentials. If not configured, prompt the user to provide an API Key.
  3. Get app list: On first run, retrieve the out-of-the-box app list via adp app-id list --app-type 0, find the invoice extraction app, and record its app_id (prefixed with ootb_). For subsequent runs, prefer adp app-id cache.
  4. Execute extraction: Run adp extract url <URL> --app-id <invoice-app-id> or adp extract local <file-path> --app-id <invoice-app-id>.
  5. Process results: Parse the returned JSON to extract structured fields such as invoice number, date, supplier, buyer, currency, tax amount, total amount, and line items.
  6. Error handling: When a command fails, parse the stderr JSON to determine the error type and recovery action.

Scenario-to-Command Mapping

Single Invoice Recognition

User Intent Recommended Command
Recognize an invoice image/PDF (URL) adp extract url <URL> --app-id <ID>
Recognize a local invoice file adp extract local <file-path> --app-id <ID>
Recognize a Base64-encoded invoice adp extract base64 <base64> --app-id <ID> --file-name <filename.ext>

Batch Recognition

User Intent Recommended Command
Batch recognize invoices in a local folder adp extract local <folder-path> --app-id <ID>
Batch recognize multiple URLs adp extract url <URL-list-file> --app-id <ID>

Async Processing

User Intent Recommended Command
Submit a large file asynchronously adp extract url <URL> --app-id <ID> --async
Async batch processing adp extract local <folder-path> --app-id <ID> --async
Query async task result adp extract query <task_id>

Concurrency Limit: Free users support a maximum of 2 documents for concurrent processing, while paid users support up to 10 documents concurrently.


Step 1: Install ADP CLI

# Method 1: npm (recommended, cross-platform)
npm install -g @laiye-adp/agentic-doc-parse-and-extract-cli
# Method 2: Shell script (Linux / macOS, when npm is unavailable)
curl -fsSL https://raw.githubusercontent.com/laiye-ai/adp-cli/main/scripts/adp-init.sh | bash
# Method 3: PowerShell script (Windows, when npm is unavailable)
irm https://raw.githubusercontent.com/laiye-ai/adp-cli/main/scripts/adp-init.ps1 | iex

Or download prebuilt binaries from GitHub Releases.

Step 2: Get API Key & Configure Authentication

Register and obtain an API Key (100 free credits per month + limited-time bonus: 1,000 free invoice extraction pages):

adp config set --api-key <your-api-key>
adp config set --api-base-url https://adp.laiye.com
adp config get

Step 3: Get the Invoice Extraction App ID

ADP provides out-of-the-box built-in extraction apps for global invoices/receipts, supporting multiple languages and currencies with no additional configuration required.

App Types

ADP apps are divided into two categories, distinguished by the app_type field:

app_type Type Description
0 Out-of-the-box (OOTB) Platform built-in, app_id prefixed with ootb_, ready to use without creation
1 Custom User-created extraction apps with user-defined app_id

Invoice recognition is an out-of-the-box app and can be queried using --app-type 0.

Query and Filter Invoice Apps

# Query OOTB apps only (recommended)
adp app-id list --app-type 0

# Or query all apps
adp app-id list

Find the app whose app_label contains "Invoice", "Receipt", or "Bill" in the returned list, and record its app_id:

[
  {
      "app_id": "ootb_*****c8d1",
      "app_label": [
        "Invoice",
        "Receipt",
        "Information Extraction",
        "High accuracy",
        "High-speed extraction"
      ],
      "app_name": "Invoice/Receipt",
      "app_type": 0
    }
]

In the example above, "app_id": "ootb_*****c8d1" is the global invoice extraction app. app_type of 0 indicates an out-of-the-box app; 1 indicates a custom app.

Cache App ID (Recommended)

After the initial query, prefer using cache for subsequent requests to avoid redundant API calls:

# Use cache for subsequent calls
adp app-id cache

Important: Each account's app_id is unique and fixed — it will not change unless the user explicitly deletes the app. It is recommended that the Agent save the invoice app's app_id in context and reuse it directly in subsequent calls.


Step 4: Execute Invoice Extraction

Single Invoice Extraction (URL)

adp extract url https://example.com/invoice.pdf --app-id <invoice-app-id>

Single Invoice Extraction (Local File)

adp extract local ./invoice.pdf --app-id <invoice-app-id>

Single Invoice Extraction (Base64)

adp extract base64 <base64-string> --app-id <invoice-app-id> --file-name <filename.ext>

Response Example

ADP automatically supports invoice recognition in 100+ languages across all regions globally and automatically detects currencies. Extraction results are returned as unified structured JSON. The response contains two types of fields: regular fields and table fields (line items).

The following example is a simplified format showing only core fields. The full response also includes field_confidence (confidence score) and references (source location) metadata — see "Common Field Structure" below for details.

[
  {
    "field_key": "invoice_number",
    "field_name": "Invoice Number",
    "field_values": [
      {
        "field_value": "INV-2026-003721"
      }
    ]
  },
  {
    "field_key": "invoice_date",
    "field_name": "Invoice Date",
    "field_values": [
      {
        "field_value": "2026-03-15"
      }
    ]
  },
  {
    "field_key": "due_date",
    "field_name": "Due Date",
    "field_values": [
      {
        "field_value": "2026-04-15"
      }
    ]
  },
  {
    "field_key": "currency",
    "field_name": "Currency",
    "field_values": [
      {
        "field_value": "USD"
      }
    ]
  },
  {
    "field_key": "supplier_name",
    "field_name": "Supplier Name",
    "field_values": [
      {
        "field_value": "Acme Global Trading Co., Ltd."
      }
    ]
  },
  {
    "field_key": "supplier_address",
    "field_name": "Supplier Address",
    "field_values": [
      {
        "field_value": "1234 Commerce Blvd, Suite 500, San Francisco, CA 94105, USA"
      }
    ]
  },
  {
    "field_key": "buyer_name",
    "field_name": "Buyer Name",
    "field_values": [
      {
        "field_value": "Eastern International Trading Co., Ltd."
      }
    ]
  },
  {
    "field_key": "buyer_address",
    "field_name": "Buyer Address",
    "field_values": [
      {
        "field_value": "1000 Lujiazui Ring Road, Pudong New Area, Shanghai"
      }
    ]
  },
  {
    "field_key": "subtotal",
    "field_name": "Subtotal",
    "field_values": [
      {
        "field_value": "8,500.00"
      }
    ]
  },
  {
    "field_key": "tax_amount",
    "field_name": "Tax Amount",
    "field_values": [
      {
        "field_value": "680.00"
      }
    ]
  },
  {
    "field_key": "total_amount",
    "field_name": "Total Amount",
    "field_values": [
      {
        "field_value": "9,180.00"
      }
    ]
  },
  {
    "field_key": "line_items",
    "field_name": "Line Items",
    "field_confidence": 0.98,
    "table_values": [
      [
        {
          "field_name": "Description",
          "field_key": "line_items_description",
          "field_values": [
            {
              "field_value": "Industrial Sensor Module X200"
            }
          ]
        },
        {
          "field_name": "Quantity",
          "field_key": "line_items_quantity",
          "field_values": [
            {
              "field_value": "50"
            }
          ]
        },
        {
          "field_name": "Unit Price",
          "field_key": "line_items_unit_price",
          "field_values": [
            {
              "field_value": "120.00"
            }
          ]
        },
        {
          "field_name": "Amount",
          "field_key": "line_items_amount",
          "field_values": [
            {
              "field_value": "6,000.00"
            }
          ]
        }
      ],
      [
        {
          "field_name": "Description",
          "field_key": "line_items_description",
          "field_values": [
            {
              "field_value": "Connector Kit CK-50 (Pack of 100)"
            }
          ]
        },
        {
          "field_name": "Quantity",
          "field_key": "line_items_quantity",
          "field_values": [
            {
              "field_value": "25"
            }
          ]
        },
        {
          "field_name": "Unit Price",
          "field_key": "line_items_unit_price",
          "field_values": [
            {
              "field_value": "100.00"
            }
          ]
        },
        {
          "field_name": "Amount",
          "field_key": "line_items_amount",
          "field_values": [
            {
              "field_value": "2,500.00"
            }
          ]
        }
      ]
    ]
  }
]

Extraction Field Reference

Note: field_key and field_name are always returned in English. field_value is multilingual — its content reflects the language of the source document (e.g., Chinese invoices return Chinese values, Japanese invoices return Japanese values). Different regions/types of invoices may return different field sets — the following lists all known fields.

Regular Fields:

field_key field_name (example) Description
invoice_number Invoice Number Invoice number
invoice_date Invoice Date Invoice date
due_date Due Date Payment due date
currency Currency Currency (e.g., USD, EUR, GBP, JPY, etc.)
supplier_name Supplier Name Supplier / seller name
supplier_address Supplier Address Supplier / seller address
supplier_vat_number Supplier VAT Number Supplier tax ID (e.g., Japan T-prefixed registration number)
buyer_name Buyer Name Buyer / purchaser name (some invoices use customer_name)
buyer_address Buyer Address Buyer / purchaser address
customer_name Customer Name Customer / buyer name (alternates with buyer_name depending on invoice type)
customer_vat_number Customer VAT Number Customer tax ID; returns "No result" when not recognized
subtotal Subtotal Subtotal amount (before tax; some invoices use total_without_tax)
total_without_tax Total (excl. tax) Total excluding tax (alternates with subtotal depending on invoice type)
tax_amount Tax Amount Tax amount
vat_rate VAT Rate VAT rate (e.g., 10%, 13%)
total_amount Total Amount Total amount (including tax)
amount_due Amount Due Amount due (may equal total_amount)

Table Fields (Line Items):

field_key field_name (example) Description
line_items Line Items Line items table
line_items_item_code Item Code Product / item code; returns "No result" when not recognized
line_items_description Description Product / service description
line_items_quantity Quantity Quantity
line_items_unit_price Unit Price Unit price
line_items_amount Amount Line amount (some invoices use line_items_total_amount)
line_items_total_amount Total Amount Line total amount (alternates with line_items_amount depending on invoice type)

Common Field Structure

Each field object contains the following properties:

Property Type Description
field_key string Field identifier (machine-readable)
field_name string Field name (human-readable, localized based on document language)
field_values array Extraction result array (present for regular fields)
field_values[].field_value string Extracted value; empty string or "No result" when not recognized
field_values[].field_confidence number Confidence score (0.0–1.0); 0.0 indicates not recognized / low confidence
field_values[].references array Source location references (coordinates or text snippets)
field_confidence number Overall confidence score (table-level for table fields)
table_values array[array] Only present for table fields. 2D array: each row is a line item, each cell contains field_name, field_key, field_values

How to distinguish field types: If table_values is present → table field, read from table_values; otherwise → regular field, read from field_values.


Step 5: Batch Processing & Async Mode

Batch Processing (Local Folder)

adp extract local ./invoices/ --app-id <invoice-app-id> --export ./results/ 

Response summary:

{
  "total": 10,
  "success": 9,
  "failed": 1,
  "output_dir": "/absolute/path/to/results",
  "files": [
    {
      "input": "invoice-001.pdf",
      "output": "invoice-001.pdf.json",
      "status": "success"
    },
    {
      "input": "invoice-002.pdf",
      "output": "invoice-002.pdf.json",
      "status": "success"
    },
    {
      "input": "damaged.pdf",
      "output": "damaged.pdf.error.json",
      "status": "failed",
      "error": "File is corrupted or unreadable"
    }
  ]
}

Batch Response Summary Fields:

Field Type Description
total number Total number of files
success number Number of successfully processed files
failed number Number of failed files
output_dir string Absolute path to the output directory
files array Processing result list for each file
files[].input string Input filename
files[].output string Output result filename (.json on success, .error.json on failure)
files[].status string Processing status: "success" or "failed"
files[].error string Only present on failure; describes the failure reason

Async Processing

# Submit async task
adp extract url https://example.com/invoice.pdf --app-id <invoice-app-id> --async

# Query task result
adp extract query <task_id>

Command Quick Reference

# Check installation
adp version

# View configuration
adp config get

# List all apps
adp app-id list

# List OOTB apps only (app_type=0)
adp app-id list --app-type 0

# Use cached apps
adp app-id cache

# Check credit balance
adp credit

# Invoice extraction (URL)
adp extract url <file-URL> --app-id <invoice-app-id>

# Invoice extraction (local file)
adp extract local <file-path> --app-id <invoice-app-id>

# Invoice extraction (Base64)
adp extract base64 <base64-string> --app-id <invoice-app-id> --file-name <filename.ext>

# Batch extraction
adp extract local <folder-path> --app-id <invoice-app-id> --export <output-path>

# Async extraction
adp extract url <file-URL> --app-id <invoice-app-id> --async

# Query async result
adp extract query <task_id>

Error Handling

When a command fails, stderr outputs structured JSON:

{
  "type": "AUTH_ERROR",
  "message": "Authentication error: invalid API key",
  "fix": "Check your API key is correct and has not expired.",
  "retryable": false,
  "details": {"context": "extract"}
}

Error Response Fields:

Field Type Description
type string Error type identifier (e.g., AUTH_ERROR, PARAM_ERROR, NOT_FOUND, etc.)
message string Error description
fix string Suggested fix action
retryable boolean Whether the operation can be retried (true = retryable, false = requires manual intervention)
details object Error context information

Exit Codes

Exit Code Meaning
0 Success
1 General error
2 Parameter error
3 Resource not found
4 Permission / authentication error
5 Conflict
6 Partial failure (some succeeded, some failed in batch processing)

Credits & Billing

Item Description
Invoice/receipt extraction cost 1.5 credits/page
Monthly free quota 100 credits per month (usable for invoice extraction and other document processing), resets at the beginning of each month
Limited-time offer Use invoice extraction for the first time and receive an additional 1,000 free pages of global invoice extraction — limited to the first 100 users, first come first served
Check balance adp credit
Top up Log in to the ADP portal: Global | China Mainland, HK, Macau, Taiwan

More Laiye ADP Document Processing Capabilities

Global invoice recognition is just one of many out-of-the-box capabilities offered by the Laiye ADP platform. Built on large model general understanding capabilities, ADP provides intelligent processing solutions covering all document categories:

Capability Description Typical Scenarios
Global Invoice/Receipt Extraction Automatically recognizes and extracts 10+ key fields including invoice number, date, amount, taxes, and line items; supports multi-language and multi-currency invoice extraction Cross-border accounts payable automation, expense reimbursement management
China Domestic Bill Extraction Recognizes 30+ common bill types including VAT invoices, taxi receipts, train tickets, flight itineraries, fiscal invoices; supports multi-page/multi-bill recognition and verification Domestic bill recognition, domestic invoice verification
Order Extraction Supports various purchase order formats; extracts order number, products, quantities, prices, logistics information, etc. Procurement automation, supply chain integration
ID & Credential Extraction ADP supports 11 common Chinese credentials including ID cards, HK/Macau/Taiwan travel permits, Chinese passports, bank cards, household registers, driver's licenses, vehicle registration certificates, vehicle qualification certificates, account opening permits, and business licenses Account opening review, compliance checks, batch credential data entry
Document Parsing Converts PDFs, images, and Office documents into structured data while preserving layout and hierarchical relationships Long document analysis, contract review, knowledge extraction
Custom Extraction Create custom extraction apps with proprietary fields and recognition logic for non-standard documents Enterprise-specific forms, industry-customized documents

All capabilities above can be accessed through the same ADP CLI tool, sharing the ADP API Key and credit system.

For the full list of capabilities, visit:


Important Notes

  1. Data integrity: When using ADP output, present the returned data as-is. Do not modify, add, or remove any fields during the extraction process.
  2. API Key security: Keep your API Key safe and do not share it with unauthorized third parties.
  3. File size limit: Maximum 50MB per file.
  4. Supported formats: .jpg, .jpeg, .png, .bmp, .tiff, .tif, .pdf, .doc, .docx, .xls, .xlsx
  5. App ID reuse: The invoice app's app_id is unique and fixed within an account. It is recommended to save it and reuse directly — no need to query every time.

Support & Contact

Copyright 2026 [Laiye Technology (Beijing) Co., Ltd.] All rights reserved.