agentic-doc-parse-and-extract

name

agentic-doc-parse-and-extract

description

Enables AI-powered parsing and key information extraction from high-frequency documents including invoices, orders, receipts, long texts, and common Chinese identity & credential documents. Supports reusable custom templates for non-standard business files. Features batch concurrent processing and human-in-the-loop review with customizable audit rules to automate document workflows for finance, administration, HR data entry and other departments.

agentic-doc-parse-and-extract Skill

agentic-doc-parse-and-extract is an official command-line tool released by Laiye Technology's ADP (Agentic Document Processing) product, enabling both humans and AI agents to invoke ADP capabilities in the terminal for document parsing and extraction.

Quick Start Guide for AI Agents

Core Workflow

1. Install dependencies: On first execution, install the ADP CLI tool and dependencies by following the instructions in references/examples.md.
2. Discover commands: Run adp schema to get the machine-readable JSON spec of all commands, parameters, types, and defaults.
3. Authentication: On first execution, run adp config get to verify credentials. If no valid configuration exists, prompt the user to provide an API Key.
4. Check Application: On first execution, retrieve the application list via adp app-id list. For subsequent executions, prioritize adp app-id cache (cached in context). If the cache is unavailable, refresh it by calling adp app-id list again.
5. Execute: Run adp extract url <URL> --app-id <ID> or adp parse url <URL> --app-id <ID>.
6. Query: Check results asynchronously with adp extract query <task_id> or adp parse query <task_id>.
7. Error handling: When a command fails, parse the stderr JSON to determine error type and recovery action. See references/error-handling.md.

Common Scenarios → Command Mapping

User Intent	Recommended Command	Handling Rules
- Read full document content - Parse layout & structure - Convert document to text - Process / analyze full document	adp parse	- Sync processing for small files - Async processing (--async parameter) for files >20MB or >200 pages
- Extract key fields (amount, date, name, ID, etc.) - Output structured results (JSON/table)	adp extract	- Use Extract directly, no need to parse first - Use matched existing app - Create a custom extraction app if the document type is not in the known app list
Batch processing of local files	adp extract local <folder path> adp parse local <folder path>	Batch processing can accept files from the local folder.
Batch processing of URL files	adp extract url <URL list file path> adp parse url <URL list file path>	If you need to process multiple URLs in a batch, you can first save the list of URLs in a text file, and then input the corresponding URL of this text file to achieve batch processing at once.
- Set review rules after extraction - Human-in-the-loop quality control - Conditional manual review (e.g., amount > threshold)	adp human-review rule-create	- Define review dimensions (field-level, confidence, full document) - Combine rules with AND/OR logic - Use rule-ai-generate for AI-recommended rules
- Submit documents for human review - Review extraction results with rules applied	adp human-review task-create	- Sync by default; use --async for large batches - Supports local files, URLs, folders, and URL list files
- Query human review task results - Update reviewed field values	adp human-review task-query adp human-review result-update	- Query async tasks by task ID - Only pending-status documents can be updated

Note:

• The adp extract command has built-in document parsing capabilities. After ADP automatically parses the document, it performs structured extraction. Therefore, when users need to extract the structured content of the document, there is no need to use apd for parsing.
• URL list file format: A plain text file where each line is a URL pointing to a document to be processed.

Quick Reference for Common Commands

# Command Discovery (for Agent introspection)
adp schema

# Configuration Check
adp config get

# Query Applications (First Use)
adp app-id list

# Document Extraction (Invoice/Receipt)
adp extract url <file URL> --app-id <app_id>

# Document Parsing (Long Document)
adp parse url <file URL> --app-id <app_id>

# Base64 Input
adp extract base64 <base64_string> --app-id <app_id> --file-name invoice.pdf
adp parse base64 <base64_string> --app-id <app_id> --file-name document.pdf

# Asynchronous Query
adp extract query <task_id>
adp parse query <task_id>
adp parse query <task_id1> <task_id2> --watch  # batch query with auto-poll

# Human-in-the-Loop Review
adp human-review rule-create --app-id <app_id> --rule-name "high_amount_check" --rule '[{"rule_dimension":"amount","rule_setting":"greater_than 1000"}]'
adp human-review get-config --app-id <app_id>
adp human-review rule-update --app-id <app_id> --rule-name "high_amount_check" --rule-status false
adp human-review rule-delete --app-id <app_id>
adp human-review rule-ai-generate --app-id <app_id>
adp human-review task-create --app-id <app_id> --local <file_path>
adp human-review task-create --app-id <app_id> --url <file_url> --async
adp human-review task-query <task_id>
adp human-review result-update --file-task-id <id> --collaboration-result '[{"field_name":"amount","field_type":"string","field_values":"1500.00"}]'

# Batch Processing
adp extract local <folder path> --app-id <app_id> --export <folder path> --concurrency 2
adp parse local <folder path> --app-id <app_id> --export <folder path> --concurrency 2

Performance Optimization Suggestions

• Reuse APP_ID: Cache it in the context after one query to avoid calling app-id list every time.
• Sync First: For small files (<20MB), prioritize using synchronous calls to avoid asynchronous polling.
• Batch Processing: Processes multiple documents via url <URL list file path> or local <folder path> in a single run, without looped invocations. Default --concurrency 2.
• Local Cache: Store commonly used APP_IDs in environment variables or configuration files.
• Priority Extraction: If only key information needs to be extracted, use extract instead of parse (faster).
• Use --retry for batch: Set --retry 2 for batch processing to auto-recover from transient failures.
• Use --timeout for large files: Increase --timeout for files >20MB. Default is 900s.

---

Detailed Product Introduction

Core Function Definition

• parse: Parses the entire document to retrieve full text, layout, structure, and content.
• extract: Extracts specific structured fields from the document, such as amount, date, company name, and order number.

Application Scenarios

• Long Document Parsing: Efficiently process long documents with fast parsing speed, accurately extract multiple elements such as text, tables and images, replace manual extraction, and improve efficiency.
• Structured Extraction for Scanned/Photographed Documents: For scanned documents and photos, complete structured extraction in reading order, generate clear and editable electronic documents, and eliminate manual entry errors.
• Intelligent Invoice Extraction: After uploading invoice images/documents, AI automatically invokes preset applications to accurately extract 10+ key fields such as invoice number and amount, suitable for financial filing scenarios.
• Intelligent Order Extraction: Support batch upload of orders from multiple distributors, AI extracts 10+ key fields such as order number and buyer-seller information, automatically identifies currencies, and reduces manual verification costs.
• Domestic ID Document Extraction: Process in seconds, supporting the identification and extraction of more than 10 common types of documents in China; for example, core information such as name and ID number can be quickly extracted from ID card scans.
• Automatic Splitting and Extraction of Mixed Documents: Batch upload mixed documents such as contracts and invoices, AI automatically classifies, splits and completes structured extraction to improve processing efficiency.
• Batch Document Processing: Support batch upload of various business documents, extract information and output standardized structured data, reducing repetitive manual operations.
• Human-in-the-Loop Review: After document extraction, set customizable audit rules (e.g., amount thresholds, field completeness checks, confidence scoring) to automatically flag documents requiring manual verification, enabling quality control for finance, compliance, and reimbursement workflows.

Detailed Usage Steps

Step 1: Obtain the Installation Package

For details, see references/examples.md

Step 2: Obtain and Configure API Key

1. Access the ADP Portal to Obtain Credentials

We provide independent Public Cloud access addresses for domestic and international users, which need to be configured separately by region. Accessing nearby can better ensure high-speed and stable calls across the network.

Region	Login Address	API Base URL
Chinese Mainland	https://adp.laiye.com/	https://adp.laiye.com/
Overseas Region	https://adp-global.laiye.com/	https://adp-global.laiye.com/

2. Get API Key after registration/login

New users need to register an ADP account first, and after registration, they can get 100 free credits/month

• After logging in, click on the personal avatar, and you can directly access the API_Key entry.

3. Complete the authentication configuration

For details, see references/examples.md

4. Verify the configuration

For details, see references/examples.md

Notes:

1. If API Key and API Base URL have been configured, the configuration information needs to be stored in environment variables to avoid uploading configuration items every time they are used.
2. If API Key and API Base URL have not been configured yet, they need to be configured according to the above steps.

Step 3: Upload Documents

After completing the authentication of the API Key, guide the user to upload local files or specify the file URL. After the user uploads the document, they can query the supported application scope of ADP and select the appropriate application for document parsing and extraction. If no suitable application is found, they can choose to create a custom extraction application, configure exclusive fields and parsing modes to meet the personalized document processing requirements.

Step 4: Query Available Applications

This function is used to query the built-in applications under the user's account (such as invoices/receipts, orders, common cards and certificates in China region, etc. which are standardized documents). Based on the app-label, you can assist in filtering the suitable application IDs. If no suitable application is found, you can choose to create a custom extraction application, configure specific fields and parsing modes to meet the personalized document processing requirements.

Notes:

1. For the first execution, use adp app-id list. For subsequent executions, prefer to use adp app-id cache (cache the application ID in the context). If the cache becomes invalid or there are no suitable applications in the cache, call adp app-id list again to update the cache.

For detailed examples of commands and responses, see references/examples.md.

Step 5: Add custom extraction application

Support creating custom extraction applications, and independently add business-specific extraction fields as needed, and improve the detailed description of each field; the system will accurately identify the document content based on the configured fields and definitions, and complete customized information extraction for personalized documents and non-standard forms.

For example commands, responses, and detailed parameter descriptions, please refer to references/examples.md

Step 6: Execute Document Processing

Single Document Parsing

Perform document parsing based on the selected application ID, which will return a formatted JSON result containing information such as document content, element position coordinates, OCR Confidence Level, etc.

For examples of commands and responses, please refer to references/examples.md

Single Document Extraction

Perform document extraction based on the selected application ID, which will return a formatted JSON result containing information such as extraction fields, extraction results, and Confidence Level.

For examples of commands and responses, please refer to references/examples.md

Batch Document Processing

ADP supports batch processing capabilities. Users can upload multiple file URLs or local folder paths at once, and the system will automatically identify each document type and match the most suitable application for processing, greatly improving the efficiency of batch document processing.

For detailed command examples, see references/examples.md

Note: The number of concurrent requests is limited to 1 for free users, while enterprise users can adjust it according to their needs, with a maximum support of 2.

Asynchronous Processing (Suitable for Large Documents)

ADP provides asynchronous processing capabilities, allowing users to choose asynchronous mode to perform document parsing and extraction. The system will return a task ID, and users can periodically query the task status and results through the query interface, which is suitable for processing complex documents or batch documents with long processing times. If the document uploaded by the user is larger than 20MB or contains more than 200 pages, it is recommended to use the asynchronous processing mode.

For examples of commands and responses, see references/examples.md

Step 7: Human-in-the-Loop Review (Post-Extraction Quality Control)

After document extraction, ADP supports setting up human-in-the-loop review rules to flag documents that require manual verification. This is useful for quality control scenarios such as: ensuring invoice amounts are not empty, flagging reimbursements exceeding a threshold, or validating specific field values.

1. Configure Review Rules

Create review rules to define which conditions trigger manual review. Each rule specifies a review dimension (e.g., a specific field name, document confidence, or full document) and a rule setting (e.g., field not empty, maximum amount limit, specific time range).

# Create a review rule
adp human-review rule-create --app-id <app_id> --rule-name "amount_check" \
  --rule '[{"rule_dimension":"amount","rule_setting":"greater_than 1000"}]' \
  --rule-logic 1

# View current review configuration
adp human-review get-config --app-id <app_id>

# AI-recommended rules based on your application
adp human-review rule-ai-generate --app-id <app_id>

• Up to 100 rules per configuration.
• --rule-logic: 1 = any condition triggers review (default), 2 = all conditions must match.
• --rule-status: true (default for create) = enabled, false (default for update) = disabled.
• Rule names must be unique within the application.

2. Submit Documents for Human Review

Submit documents for processing with review rules applied. Supports single files, folders (batch), and URL lists.

# Single file (sync)
adp human-review task-create --app-id <app_id> --local <file_path>
adp human-review task-create --app-id <app_id> --url <file_url>

# Batch processing (sync)
adp human-review task-create --app-id <app_id> --local <folder_path>

# Async processing (returns task ID)
adp human-review task-create --app-id <app_id> --url <file_url> --async

3. Query Results and Update Reviewed Values

# Query async task results
adp human-review task-query <task_id>

# Update field values for a reviewed document (only pending-status documents)
adp human-review result-update --file-task-id <id> \
  --collaboration-result '[{"field_name":"amount","field_type":"string","field_values":"1500.00"}]'

4. Manage Review Rules

# Update an existing rule
adp human-review rule-update --app-id <app_id> --rule-name "amount_check" \
  --rule-status false --rule '[{"rule_dimension":"amount","rule_setting":"greater_than 2000"}]'

# Delete all review rules for an application
adp human-review rule-delete --app-id <app_id>

For detailed command parameters, see references/commands.md.

---

Complete Command List

For a complete list of all available commands with full parameter specs, see references/commands.md

Response Schema Reference

For the output structure of each command (including batch processing output mechanism), see references/response-schema.md

Error Handling Guide

For error codes, types, and Agent auto-recovery strategies, see references/error-handling.md

---

Precautions

When using ADP output, always present the returned data as-is. Do not modify, add, or remove any fields during extraction or parsing to ensure data integrity.

1. API Key Security: Please keep your API Key secure and avoid disclosing it to unauthorized third parties.
2. API Base URL Configuration: Select the corresponding address based on the region. For Chinese Mainland, use https://adp.laiye.com/, and for overseas regions, use https://adp-global.laiye.com/
3. File Size Limit: The maximum size of a single file is 50MB
4. Supported Formats: .jpg, .jpeg, .png, .bmp, .tiff, .tif, .pdf, .doc, .docx, .xls, .xlsx
5. Free Quota: New users receive 100 free credits per month, which are reset at the beginning of each month. Credits can be used for document parsing and extraction processing.
6. Check Balance: Run adp credit to check the current account's credit balance.
7. Billing Rules:
   • Document parsing: 0.5 credits per page
   • Invoice/receipt extraction: 1.5 credits per page
   • Order extraction: 1.5 credits per page
   • Custom extraction: 1 credit per page
8. App ID Reuse: The app ID used by the user can be remembered for direct use next time, eliminating the need to enter the app_id after each query. The app ID under each user is unique and fixed; unless the user deletes the app, the app_id will not change, and the previously queried app_id can be directly used for document processing calls.

---

Support & Contact

• CLI User Guide: ADP CLI User Guide
• API Documentation: Open API User Guide
• ADP Product Manual: Public Cloud Manual
• Issue Tracker: GitHub Issues
• Email: [e-mail]
• Website: Laiye ADP

---

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