ocr-passport-xiangyun

Xiangyun Platform Passport OCR Skill. Calls the Xiangyun API to perform structured recognition of passports from images, extracting fields such as passport number, name, sex, date of birth, date of issue, expiry date, issuing authority, nationality, and more. Supports both Base64 image stream and local file input. Trigger: use when the user mentions passport recognition, passport OCR, extracting passport information, or parsing passport images. On first use, guide the user to configure API credentials (key / secret), which are persisted to config.json in the skill directory.

Xiangyun Passport OCR

Overview

Leverages the Xiangyun Open Platform ID Document Recognition API to parse passport images structurally, supporting both Chinese and international passports. Recognized fields include: passport number, name, name (pinyin), sex, date of birth, place of birth, date of issue, expiry date, issuing authority, nationality, and more.

Product page: https://www.netocr.com/products.html

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Triggers

The following user expressions should trigger this skill:

• "passport OCR", "passport recognition", "recognize passport"
• "extract passport info", "parse passport", "scan passport"
• "read passport", "passport data extraction"
• "Xiangyun passport", "netocr passport"
• "OCR this passport", "identify passport"

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Workflow

Step 1: Load Configuration

Invoke scripts/config_manager.py to read the configuration:

bash

python scripts/config_manager.py load

• Config file location: config.json in the skill root directory
• If the config file exists and contains valid key and secret, skip to Step 3
• If the config file is missing or fields are empty, proceed to Step 2

Step 2: First-Time Setup (on missing config)

Inform the user:

"Please sign up on the Xiangyun Platform (https://www.netocr.com), navigate to your account dashboard to obtain your ocrKey and ocrSecret, then provide them to me to complete the setup."

Once the key and secret are received:

bash

python scripts/config_manager.py save --key YOUR_KEY --secret YOUR_SECRET

This saves the credentials to config.json in the skill root:

json

{
  "key": "user's ocrKey",
  "secret": "user's ocrSecret"
}

Step 3: Accept Image Input

Supported input methods:

Method	Description
Local file path	User provides an absolute or relative path
Base64 string	User pastes Base64-encoded data directly
URL (→ Base64)	Download image first, then convert to Base64

Step 4: Call Recognition API

Run the recognition script:

bash

# Local file (recommended — auto-saves results alongside the image)
python scripts/recognize.py --file /path/to/passport.jpg

# Base64 input
python scripts/recognize.py --base64 "BASE64_STRING_HERE"

# Human-readable table output
python scripts/recognize.py --file /path/to/passport.jpg --output-format table

# Disable auto-save (default: saves as {image_name}.json)
python scripts/recognize.py --file /path/to/passport.jpg --no-save

On success, results are automatically saved as {image_name}.json next to the source image, avoiding repeated API calls for later exports.

API parameters:

Parameter	Value	Description
typeId	13	Fixed value for passport recognition — do not change
format	json	Return JSON format
key	User credential	Loaded from config.json
secret	User credential	Loaded from config.json

Base64 endpoint: POST https://netocr.com/api/recogliu.do File upload endpoint: POST https://netocr.com/api/recog.do

Step 5: Format & Display Results

On success, display results as a table:

text

✅ Passport recognition successful

| Field              | Value                    |
|--------------------|--------------------------|
| Passport Number    | E12345678                |
| Name               | ZHANG SAN                |
| Pinyin             | ZHANG SAN                |
| Sex                | Male                     |
| Date of Birth      | 1990-01-01               |
| Place of Birth     | Beijing                  |
| Date of Issue      | 2020-06-01               |
| Expiry Date        | 2030-06-01               |
| Issuing Authority  | NIA                      |
| Nationality        | China                    |

Step 6: Export Results (on-demand only)

Only perform this step when the user explicitly requests exporting, saving, or generating a file.

Trigger examples: "export results", "save as Excel", "generate CSV", "export"

Prefer --from-dir to export directly from cached JSON results — zero API consumption.

bash

# Recommended: read cached JSON results from image directory (no API calls)
python scripts/export.py --from-dir /path/to/images --format excel --output result.xlsx
python scripts/export.py --from-dir /path/to/images --format csv --output result.csv

# Pipe mode (recognize then export — for uncached results)
python scripts/recognize.py --file passport.jpg | python scripts/export.py --format csv --output result.csv

# Specific JSON file
python scripts/export.py --input result.json --format excel --output result.xlsx

Export priority: --from-dir > --batch-input > --input > stdin

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Error Handling

Error Code	Meaning	Action
-1	Recognition failed (poor image quality / no passport detected)	Ask user for a clearer passport image
-2	Parameter error	Check request parameters
-3	Insufficient service quota	Advise user to top up on Xiangyun Platform
-4	Authentication failed	Prompt user to verify key/secret and reconfigure
-5	Insufficient balance	Advise user to top up their Xiangyun account
CONFIG_MISSING	Credentials not configured	Guide user through first-time setup

On authentication failure, prompt the user to reset:

bash

python scripts/config_manager.py reset

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Image Requirements

Type	Recommended Specs
Photo	~200 KB, 24-bit color depth or higher
Scanned	300 DPI, file size < 3 MB
Format	JPG, PNG, BMP

• Place the passport flat and avoid glare or obstructions
• Ensure text is legible with adequate contrast

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Important Notes

• typeId is fixed at 13 — do not modify when calling the API
• config.json is stored in the skill directory and contains sensitive credentials; do not commit to version control
• Always read config.json before each run to avoid repeatedly asking for credentials
• Recognition results are auto-cached as {image_name}.json alongside the source image; exports read from cache without additional API calls
• File export is only triggered on explicit user request — never auto-export
• This skill is fully self-contained and runs on any platform with Python 3.x; no host-specific dependencies

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Resources

scripts/

• config_manager.py — Read, write, and reset configuration files
• recognize.py — Call the Xiangyun API to perform passport OCR
• export.py — Export recognition results to CSV / Excel / JSON

references/

• api_docs.md — Complete Xiangyun Passport Recognition API reference (request parameters, response format, sample code)

Cooperation Opportunities

Public cloud sales hotline (server version OCR recognition software): Manager Yin [13810080484] [[e-mail]]