What makes Global Invoice Recognition and extraction（ADP） notable?

955 downloads. Trust evidence available

How should Global Invoice Recognition and extraction（ADP） be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Global Invoice Recognition and extraction（ADP）

Multi-language, multi-currency global invoice recognition and extraction — accurately extracts invoice number, date, supplier, buyer, currency, tax amount, t...

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

955

Updated

Oct 12, 2026

Version

1.0.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 955 downloads reported by the source. Last updated 10/12/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 12, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 12, 2026
Adoption signal: 955 downloadsadoption · observed Oct 12, 2026
Latest release: 1.0.2release · observed May 20, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.0.2release
- Added greater emphasis on the global endpoint (adp-global.laiye.com) as default for international users. - Swapped and clarified the order of registration links: "Global" now precedes "China Mainland" throughout. - Updated example commands to use variable filename extensions for Base64 extraction input, improving flexibility. - Minor language tweaks to streamline terminology and improve clarity for global users. - No functional or code changes; documentation only.
Observed May 20, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s17cqxy7t90jwwf5x1jhnss4td85c8ch:adp-invoice-recognition-and-extract

Install using `clawhub skill install s17cqxy7t90jwwf5x1jhnss4td85c8ch:adp-invoice-recognition-and-extract` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/laiye-adp/adp-invoice-recognition-and-extract before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-laiye-adp-adp-invoice-recognition-and-extract/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

140,998 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
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)](https://adp-global.laiye.com/?utm_source=clawhub), 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**.
</br> Register now: [Global](https://adp-global.laiye.com/?utm_source=clawhub) | [China Mainland](https://adp.laiye.com/?utm_source=clawhub)

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 am

README.md

## 🚀 About Laiye ADP

ADP is Laiye's **intelligent agent document processing product (Agentic Document Processing, referred to as ADP)** , based on the general understanding ability of large models, without relying on rules and annotations, with the general understanding ability of multi-language, MultiModal Machine Learning, and multi-scene; autonomous planning and execution of intelligent agents, able to understand task goals, autonomous planning steps, invoke tools, and complete complex tasks; end-to-end business automation, from document input to business decision-making to human-machine collaboration, forming a complete closed loop.

**agentic-doc-parse-and-extract** is the official open-source CLI tool of ADP, supporting both manual terminal invocation and automatic invocation via AI Skill. With a single command, it can accomplish: structured document parsing + intelligent extraction of key fields, covering all scenarios including invoices, orders, certificates, bills, and general documents, outputting standard JSON, and seamlessly integrating with automation and AI workflows.

---

## 💡 Core Features

agentic-doc-parse-and-extract focuses on intelligent processing of the entire document workflow, taking into account both manual terminal calls and automatic calls by AI Agents. Its core functions cover all scenarios of parsing, extraction, and batch processing, requiring no complex configuration, and operations can be completed with a single command:

| Function Name | Function Description | Optimal Scenario |
|---------|------------------|----------|
| **Document Parsing** | Automatically recognize multi-format documents such as PDFs and images, convert messy unstructured content (e.g., scanned documents, handwritten text, complex layout documents) into standardized Structured Data, while preserving the original document hierarchy and key relationships | Convert unstructured documents into Structured Data for LLM reading and subsequent extraction |
| **Out Of The Box Document Extraction** | Based on the native AI capabilities of the ADP large model, it comes with built-in standardized extraction models for invoices, receipts, orders, commonly used certificates in China, etc. No need to configure rules or manual annotation, one-click extraction of key fields from various types of general documentation, outputting standard JSON | Account Payable automation, expense management, procurement automation, quick entry of card and certificate information into the system |
| **Custom Document Extraction** | Supports independent creation, editing, and management of personalized extraction applications, allowing configuration of exclusive extraction fields and recognition logic for enterprise-specific documentation and industry-customized forms | Private extraction requirements for enterprise-specific documentation, industry-customized forms, and non-standardized documents |
| **Task Query** | Supports asynchronous task submission and status query, e

_meta.json

{
  "ownerId": "kn770b2vgq91s7c13mz7syttqh81xj81",
  "slug": "adp-invoice-recognition-and-extract",
  "version": "1.0.2",
  "publishedAt": 1779245968890
}

license.md

Commercial License Agreement

Effective Date: [March 30, 2026]
Copyright © 2026 [Laiye Technology (Beijing) Co., Ltd.] All rights reserved.

This “Skill” (referring to the entirety including models, software, code, weights, documentation, data, and related derivative works, “the Product”) is developed and wholly owned by Laiye Technology (Beijing) Co., Ltd. (“Licensor”). The mentioned derivative works refer to new works created by modifying, integrating, fine-tuning, or further developing the Product. Subject to your (“Licensee” or “you”) compliance with the terms of this Agreement, the Licensor grants you a worldwide, royalty-free, non-exclusive license.

1. Licensing

1.1 Free Use and Distribution: The Licensor grants the Licensee a non-transferable, non-exclusive right to freely use, copy, publish, and distribute copies of the Product for non-commercial purposes. The aforementioned "non-commercial purposes" include, but are not limited to:
Personal learning, research, teaching, and evaluation.
Technical exchanges within academic institutions or open-source communities, non-profit projects.
Integration or demonstration in non-commercial products or services.
1.2 Commercial License: Any activity intended to directly or indirectly obtain commercial benefits, revenue, or consideration (“Commercial Exploitation”) requires the explicit written authorization (i.e., a "Commercial License") from the Licensor. Commercial Exploitation includes, but is not limited to:
Distributing the Product or derivative works thereof in forms such as sales, resale, licensing fees, subscription fees, or other charges.
Providing the Product or derivative works thereof as a SaaS (Software as a Service) to third parties.
Integrating the Product or derivative works thereof, as a core function, into software, hardware, or services intended for sale or lease.
Any for-profit activity that utilizes the functionality or content of the Product to provide services to third parties.

2. Reserved Rights and Ownership

2.1 Ownership, intellectual property rights (including but not limited to copyright, patents, trademarks, trade secrets), and other related rights and interests in the Product (including all copies thereof) belong to the Licensor or its affiliates. This Agreement does not constitute any form of transfer of rights or sale of the Licensor's intellectual property.
2.2 The Licensee may non-commercially distribute unmodified copies of the Product through channels such as open-source platforms, or engage in non-commercial further development, and distribution, provided that this Agreement, the copyright notice, and the original identification are fully retained.
3. Distribution Conditions

When the Licensee distributes or provides the Product, all of the following conditions must be met:
Retention of Notices: Prominently retain all copyright notices of the Product, the text of this License Agreement, and the disclaimer on distributed copies.
No Misrepresentation: Sh

README-CN.md

## 🚀 关于来也ADP

ADP是来也科技公司**智能体文档处理产品 (Agentic Document Processing，简称 ADP)**， 基于大模型的通用理解能力，不依赖规则与标注，具备对多语言、多模态、多场景的通用理解能力；智能体的自主规划与执行，能够理解任务目标、自主规划步骤、调用工具、完成复杂任务；端到端的业务自动化，从文档输入到业务决策再到人机协同，形成完整闭环。

**agentic-doc-parse-and-extract** 是 ADP 官方开源 CLI 工具，同时支持人工终端调用 + AI Skill 自动调用。一条命令即可完成：文档结构化解析 + 关键字段智能抽取，覆盖发票、订单、证件、票据、通用文档全场景，输出标准 JSON，无缝对接自动化与 AI 流程。

---

## 💡 核心功能

agentic-doc-parse-and-extract 聚焦文档全流程智能处理，兼顾人工终端调用与 AI Agent 自动调用，核心功能覆盖解析、抽取、批量处理全场景，无需复杂配置，一条命令即可完成操作：

| 功能名称 | 功能描述 | 最佳场景 |
|---------|------------------|----------|
| **文档解析** | 自动识别 PDF、图片等多格式文档，将杂乱的非结构化内容（如扫描件、手写体、复杂排版文档）转化为标准化结构化数据，保留原始文档层级与关键关联关系 | 将非结构化文档转换为结构化数据，供 LLM 阅读和后续抽取使用 |
| **开箱即用文档抽取** | 基于 ADP 大模型原生 AI 能力，内置发票、收据、订单、中国地区常用证件等标准化抽取模型，无需配置规则、无需人工标注，一键提取各类通用单据关键字段，输出标准 JSON | 应付账款自动化、费用管理、采购自动化、卡证信息快速录入系统 |
| **自定义文档抽取** | 支持自主创建、编辑与管理个性化抽取应用，可针对企业专属单据、行业定制表单配置专属抽取字段与识别逻辑 | 企业专属单据、行业定制表单、非标准化文档的私有化抽取需求 |
| **任务查询** | 支持异步任务提交与状态查询，可快速查看任务执行进度、成功/失败状态，以及任务最终处理结果 | 批量任务处理、异步文档处理、问题排查与处理记录追溯 |
| **应用管理** | 提供完整的应用管理能力，可查看所有可用的抽取应用（系统内置 + 自定义）、查询应用详情、应用标签 | 多场景业务切换、应用全生命周期管控、自定义应用管理 |

## 安装

```bash
# npm（推荐）
npm install -g @laiye-adp/agentic-doc-parse-and-extract-cli

# Linux / macOS
curl -fsSL https://raw.githubusercontent.com/laiye-ai/adp-cli/main/scripts/adp-init.sh | bash

# Windows（PowerShell）
irm https://raw.githubusercontent.com/laiye-ai/adp-cli/main/scripts/adp-init.ps1 | iex
```

或从 [GitHub Releases](https://github.com/laiye-ai/adp-cli/releases) 下载预编译二进制。

## 配置

访问 [https://adp.laiye.com/](https://adp.laiye.com/?utm_source=github) 注册并获取 API Key（新用户每月 100 免费积分）。

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

## 快速示例

```bash
# 查看可用应用
adp app-id list

# 解析本地文档
adp parse local ./invoice.pdf --app-id <app-id>

# 抽取关键字段
adp extract local ./invoice.pdf --app-id <app-id>

# 异步解析目录
adp parse local ./documents/ --app-id <app-id> --async

# 处理远程 URL
adp extract url https://example.com/file.pdf --app-id <app-id>

# 查询异步任务
adp parse query <task-id>

# 两阶段异步（分开提交和查询，支持断点续传）
adp extract local ./documents/ --app-id <app-id> --async --no-wait --export tasks.json
adp extract query --watch --file tasks.json

# 失败自动重试（最多 2 次）
adp parse local ./documents/ --app-id <app-id> --retry 2

# 查看剩余积分
adp credit
```

## 命令

> AI Agent 应调用 `adp schema` 获取机器可读的权威命令规格。下表仅供人类速查。

| 命令 | 说明 |
|---|---|
| `adp version` | 显示版本号 |
| `adp config set` | 设置 API Key / 服务地址 |
| `adp config get` | 查看当前配置 |
| `adp config clear` | 清除配置 |
| `adp app-id list` | 列出可用应用 |
| `adp app-id cache` | 从本地缓存读取应用列表 |
| `adp parse local <path>` | 解析本地文件/目录 |
| `adp parse url <url>` | 解析远程文件（支持 URL 列表文件） |
| `adp parse base64 <data>` | 解析 Base64 编码内容 |
| `adp parse query <task-id...>` | 查询异步解析任务（支持多个 ID 或 `--file`） |
| `adp extract local <path>` | 抽取本地文件/目录 |
| `adp extract url <url>` | 抽取远程文件 |
| `adp extract base64 <data>` | 抽取 Base64 编码内容 |
| `adp extract query <task-id...>` | 查询异步抽取任务（支持多个 ID 或 `--file`） |
| `adp custom-app create` | 创建自定义

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