Efficiently extract structured data from fixed-amount invoices using Sugon-Scnet OCR technology.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fixed-amount-invoice-ocr
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install fixed-amount-invoice-ocr using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Fixed-Amount Invoice OCR Skill (Sugon-Scnet)?
The Fixed-Amount Invoice OCR skill is a specialized tool designed to leverage the Sugon-Scnet API for high-precision optical character recognition. By integrating these Openclaw Skills, developers can empower AI agents to parse physical or digital fixed-amount invoices into structured JSON data. This capability is essential for modernizing financial workflows, enabling seamless transitions from paper-based documents to digital records within an automated environment.
This skill focuses on accuracy and ease of use, providing a standardized interface for one of the most common invoice formats in specific financial markets. It forms a core part of the Openclaw Skills ecosystem for developers building fintech solutions or automated bookkeeping systems that require reliable document processing.
Fixed-Amount Invoice OCR Skill (Sugon-Scnet) Use Cases
- Automating corporate expense reports by digitizing fixed-amount invoices instantly using Openclaw Skills.
- Facilitating large-scale financial auditing through automated data extraction from batch-scanned images.
- Enhancing personal finance applications with the ability to scan and categorize paper receipts.
- Building custom accounting agents that require structured data input from visual financial documents.
How Fixed-Amount Invoice OCR Skill (Sugon-Scnet) Works
- The user provides a local file path to an image or PDF of a fixed-amount invoice to the AI agent.
- The AI agent invokes the Openclaw Skills execution layer using the QUOTA_INVOICE parameter.
- The skill script reads the local file and securely transmits it to the Sugon-Scnet OCR endpoint.
- The remote service processes the image to identify key financial fields and characters.
- Structured JSON data, including field values and confidence levels, is returned to the skill.
- The AI agent receives the output to present to the user or save into a database.
Fixed-Amount Invoice OCR Skill (Sugon-Scnet) Setup
To deploy these Openclaw Skills, ensure your environment meets the prerequisites and follow these configuration steps:
- Secure API Access: Visit the Scnet official website at scnet.cn to register and obtain your unique SCNET_API_KEY.
- Configure Environment Variables: Create a
config/.envfile within the skill directory. This file should contain your credentials to ensure the Openclaw Skills can authenticate successfully:
SCNET_API_KEY=your_scnet_api_key_here
SCNET_API_BASE=https://api.scnet.cn/api/llm/v1
- Install Python Libraries: The skill requires the
requestslibrary. Install it using the following command:
pip install requests
- Set Permissions: For security, it is recommended to set your
.envfile permissions to 600 (read/write only by the owner).
Fixed-Amount Invoice OCR Skill (Sugon-Scnet) Data Schema & Taxonomy
The output of this skill is a highly structured JSON object. The data taxonomy is designed to be easily ingested by other Openclaw Skills or external databases:
| Field Path | Type | Description |
|---|---|---|
data[].result[].elements |
Object | Contains the actual extracted text and values from the invoice. |
data[].result[].confidence |
Float | The accuracy score provided by the OCR engine (0.0 to 1.0). |
ocrType |
String | Confirms the type of recognition performed (e.g., QUOTA_INVOICE). |
filePath |
String | The absolute path of the processed source file. |
Fixed-Amount Invoice OCR Skill (Sugon-Scnet) Advanced Features
- Intelligent rate-limit handling to stay within the 10 QPS threshold by utilizing serial execution modes.
- Robust error handling that provides friendly prompts for missing files, expired tokens, or network failures.
- Support for multiple file formats including JPG, PNG, and PDF for maximum flexibility in Openclaw Skills workflows.
- Automatic retry mechanism (up to 3 attempts) for managing 429 Too Many Requests responses from the API server.
SKILL.md
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