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Laiye ADP Global Document Intelligent Extraction · Fast

核心功能:支持PDF、图片等多格式,100+语言识别,单页5秒内解析,准确率99%+,支持高并发、批量及异步处理。典型场景:企业财务批量记账对账、系统集成商API对接、开发者搭建自动化流程。输入支持URL、本地文件、Base64,输出标准化JSON,涵盖发票号、金额等核心字段及明细。

laiye-adp
laiye-adp
热度 29.83
最近更新 2026-06-03 09:49:50
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 / 工作流

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-global-invoice-extraction-fast
Metadata
name
adp-global-invoice-extraction-fast
description
High-performance API for global invoice recognition. Each page is parsed in 5 seconds with reliable high-concurrency support. It extracts full invoice data and returns structured JSON directly, ideal for financial automation and cross-border document processing.

🚀 Laiye ADP Global Document Intelligent Extraction · Fast

Developed by the ADP Intelligent Document Processing team of Laiye Technology. Tailored for global cross-border finance, automation, system integration and high-concurrency production scenarios, it delivers low-latency, high-throughput, full-format and multi-language intelligent extraction for invoices, bills and receipts. It fully supports structured standard documents, unstructured overseas purchase invoices and receipts. Whether it is electronic PDFs, scanned copies or images, each page can be parsed and output as standardized JSON structured data in as fast as 5 seconds. It supports enterprise-level batch processing and 7×24 stable service, empowering end-to-end workflow automation, intelligent reconciliation and data warehousing.

⭐ Core Advantages of High-Speed Edition

⚡ Ultra-fast Processing: Each page is parsed within 5 seconds. It supports large-scale concurrent calls to meet high-intensity processing requirements in production environments.
✅ Enterprise-grade High-throughput Architecture: Low-latency response and stable processing for massive files.
🌐 Multi-language Support: Recognizes invoices and receipts in English, Japanese, Korean, German, French, Thai and hundreds of other languages.
📄 Full-format Compatibility: Adapts to VAT invoices worldwide, tax documents from Southeast Asia, unstructured receipts and mixed-format vouchers.
🎯 Over 99% Extraction Accuracy: Accurately extracts key fields and greatly reduces costs for manual verification, translation and data entry.
🤖 Continuous AI Optimization: The model keeps iterating and improving based on business data, and supports customized adaptation for enterprises.

📌 Application Scenarios

User Group Usage Scenarios
Enterprise Finance & Shared Service Center Batch processing of multi-language documents for automated bookkeeping, settlement and reconciliation.
System Integrators API integration with up to 10 concurrent requests and low latency, complying with production-level SLA requirements.
Developers & Technical Teams Integrate high-performance ADP API to build stable and efficient automated document processing workflows.

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", "high accuracy", high-speed extraction in the returned list, and record its app_id:

[
  {
      "app_id": "ootb_*****d9e2",
      "app_label": [
        "Invoice",
        "Receipt",
        "global invoices",
        "high accuracy",
        "high-speed extraction"
      ],
      "app_name": "Invoice/Receipt",
      "app_type": 0
    }
]

In the example above, "app_id": "ootb_*****d9e2" 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_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 (e.g., invoice_number)
field_name string Field name (e.g., "Invoice Number")
field_values array List of extracted values (supports multiple values for fields that may have multiple entries, such as line items)
field_values[].field_value string Extracted value (the actual content extracted from the document)
field_values[].field_confidence float Confidence score for the extracted value (range: 0.0 to 1.0, where 1.0 indicates highest confidence)
field_values[].references array List of reference points in the document that support the extracted value (e.g., bounding boxes, page numbers, or text snippets where the value was found)
line_items_item_code string Code or SKU of the line item (if applicable)
line_items_description string Description of the line item (if applicable)
line_items_quantity string Quantity of the line item (if applicable)
line_items_unit_price string Unit price of the line item (if applicable)
line_items_total_amount string Total amount of the line item (if applicable)
line_items_tax_rate string Tax rate for the line item (if applicable)
line_items_tax string Tax amount for the line item (if applicable)

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

security & compliance

Meanwhile, Laiye Technology, the parent company of ADP products, has obtained ISO/IEC 27001:2022 Information Security Management System Certification and SOC 2 Independent Audit Certification, providing end-to-end security and compliance assurance for your document data processing.

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.