ifieldsgood
RepositoryFreeแผนการปรับแต่ง: ระบบอัตโนมัติในการกรอกแบบฟอร์ม PDF กรณีการใช้งานเป้าหมาย (6): การกรอกแบบฟอร์ม PDF อัตโนมัติจาก CSV → ตัวเลือกดรอปดาวน์บนเบราว์เซอร์ → การตรวจสอบด้วยภาพ ธงใหม่ (4): --csv PATH # Input CSV file --pdf PATH # Base PDF template --fields "Name=100,700 D
Capabilities4 decomposed
automated pdf form filling from csv
Medium confidenceThis capability automates the process of filling out PDF forms by reading data from a CSV file. It utilizes a mapping system where users specify the XY coordinates for each field in the PDF, allowing for precise placement of data. The tool processes the CSV in batches, generating filled PDFs and an HTML viewer for selection and verification, thus streamlining the form-filling workflow.
Integrates a custom HTML viewer for real-time selection and verification of generated PDFs, enhancing user interaction and accuracy.
More user-friendly than traditional command-line PDF generators due to its HTML verification step.
dynamic field mapping configuration
Medium confidenceThis capability allows users to define dynamic mappings between CSV columns and PDF fields using a simple command-line syntax. Users specify the field names along with their corresponding XY coordinates, enabling flexible and customizable form filling. This approach supports various PDF templates without hardcoding field positions, making it adaptable to different use cases.
Utilizes a straightforward command-line interface for field mapping, reducing the complexity typically associated with PDF form automation.
More intuitive than GUI-based mapping tools, allowing for quick adjustments directly from the command line.
batch processing of pdf generation
Medium confidenceThis capability enables the processing of multiple records from a CSV file in batches, significantly improving the efficiency of PDF generation. Users can specify the batch size, allowing the system to handle large datasets effectively without overwhelming system resources. The tool processes records in parallel, optimizing the generation time for multiple PDFs.
Allows users to define the batch size dynamically, providing control over resource management during PDF generation.
More flexible than fixed-size batch processors, allowing for tailored performance based on user needs.
visual verification of generated pdfs
Medium confidenceThis capability provides a browser-based interface for users to visually verify the generated PDFs before finalizing them. After PDFs are created, an HTML viewer is launched, allowing users to select and confirm the correct documents. This interactive step reduces errors and ensures that the filled forms meet user expectations.
Incorporates a live HTML viewer for immediate feedback on generated PDFs, enhancing user confidence in the output.
More interactive than traditional verification methods, which often rely solely on manual checks.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓developers creating automated document workflows
- ✓teams needing bulk PDF generation from structured data
- ✓developers needing flexibility in PDF form design
- ✓teams working with multiple PDF templates
- ✓teams generating bulk documents for events or registrations
- ✓developers needing to automate large-scale PDF creation
- ✓users needing to ensure accuracy in document generation
- ✓teams working with sensitive data requiring verification
Known Limitations
- ⚠Requires manual field mapping for each PDF template, which can be time-consuming
- ⚠Limited to the PDF structure defined by the user
- ⚠Requires knowledge of XY coordinate positioning for accurate mapping
- ⚠Complex mappings may lead to errors if not properly defined
- ⚠Batch processing may lead to increased memory usage
- ⚠Performance can vary based on system capabilities
Requirements
Input / Output
UnfragileRank
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Repository Details
About
แผนการปรับแต่ง: ระบบอัตโนมัติในการกรอกแบบฟอร์ม PDF กรณีการใช้งานเป้าหมาย (6): การกรอกแบบฟอร์ม PDF อัตโนมัติจาก CSV → ตัวเลือกดรอปดาวน์บนเบราว์เซอร์ → การตรวจสอบด้วยภาพ ธงใหม่ (4): --csv PATH # Input CSV file --pdf PATH # Base PDF template --fields "Name=100,700 Date=100,650 ID=100,600" # XY field mappings --dropdown FIELD # CSV column for HTML selector --output DIR # Output folder (default: ./output) --template PATH # Custom HTML template (default: embedded) --verify # Open browser to verify generated PDFs --batch-size N # Process N records at a time การเปลี่ยนแปลงรูปแบบเอาต์พุต (5): Extended JSON: { "success": true, "records_processed": 50, "pdfs_generated": ["1_John.pdf", "2_Jane.pdf"], "html_viewer": "output/template.html", "csv_updated": "output/data_updated.csv", "fields_filled": ["Name", "Date", "ID"] } เอกสาร/เวิร์กโฟลว์ (3): ## PDF Form Filler Workflow ```bash # 1. Setup CSV + base PDF node pdf-filler.js --csv data.csv --pdf template.pdf --fields "Name=100,700 Date=100,650" # 2. Generate PDFs + HTML selector # output/template.html opens in browser with dropdown # 3. Verify + download selected PDF node verify.js --open output/template.html --select "John Doe" **Fork Path:** `/home/user/skills/[yourname]/pdf-form-filler/` **Implementation Steps:** 1. Create new script `pdf-filler.js` (Python via Node child_process) 2. Add `verify.js` for browser verification workflow 3. Embed PyMuPDF + Jinja2 deps management 4. Update SKILL.md with new workflows **Confirm before forking:** 1. **Fork namespace?** (e.g., `yourusername`, `pdf-automation`) 2. **Field mapping format OK?** (`--fields "Name=100,700 Date=100,650"`) 3. **Add Python deps auto-install?** (`install-deps.sh`) 4. **Include visual diff verification?** **Ready to fork + implement?** (Y/N + namespace)
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