pdf-field-extractor基于AI的PDF结构化字段提取工具,支持发票、合同等多文档类型,输出Excel或JSON格式,含OCR扫描件识别。
Install via ClawdBot CLI:
clawdbot install qiji0802/pdf-field-extractorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Sep 4, 2026
Extract key fields from PDF invoices such as invoice number, date, amounts, and vendor information directly into Excel or JSON. This streamlines accounting workflows and reduces manual data entry errors.
Automatically extract important clauses like effective dates, payment terms, parties involved, and penalties from contracts. This helps legal professionals quickly review and manage contract obligations.
Extract personal details from ID cards, passports, or driver's licenses to streamline customer onboarding and KYC processes. The tool can handle various document types and output structured data for verification systems.
Parse bank statements to extract transaction summaries, balances, and account details, enabling faster loan underwriting and financial analysis.
Process multiple express or delivery PDFs simultaneously to extract recipient, tracking numbers, and delivery status. This facilitates logistics tracking and record keeping.
Offer the PDF field extractor as a cloud-based subscription service with tiered pricing based on page limits and features. Users pay a monthly or annual fee to access the tool.
Provide a free tier with limited pages and basic features to attract users, then upsell premium tiers with higher limits, advanced document types, JSON output, and batch processing.
Expose the extraction engine as a RESTful API where users are charged based on the number of pages or documents processed. This is ideal for businesses that want to integrate extraction into their own applications.
💬 Integration Tip
It requires a user-provided API key for AI calls, which should be securely managed in the agent environment. The skill offers bulk processing but ensure rate limits and tier constraints are handled gracefully.
Scored Sep 4, 2026
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