中文
ProFinance4 nodes
Score 72

Tax Document Preparation

Drop receipts and financial records — PaddleOCR + Pandas categorise expenses, LLM applies tax rules and identifies deductions, generates a tax-ready summary Excel organised by schedule.

What does this workflow do?

Drop your image — the pipeline runs 4 automated steps: PaddleOCR (image→json) → Pandas (json→json) → LLM Reasoning (json→json) → OpenPyXL (json→xlsx) — and delivers xlsx. Every node is visible, auditable, and replaceable.

System flow

1. PaddleOCR — High-accuracy OCR that reads text, tables and stamps from scans and photos 2. Pandas — Tabular compute — join, aggregate, validate and reshape the extracted records 3. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 4. OpenPyXL — Writes a formatted, formula-ready Excel workbook as the deliverable

Pipeline breakdown

PaddleOCR image Pandas json LLM Reasoning json OpenPyXL json
  1. PaddleOCR paddleocr — High-accuracy OCR that reads text, tables and stamps from scans and photos image → json
  2. Pandas pandas — Tabular compute — join, aggregate, validate and reshape the extracted records json → json
  3. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → json
  4. OpenPyXL openpyxl — Writes a formatted, formula-ready Excel workbook as the deliverable json → xlsx

Workflow Reputation Score

Based on executions, success rate, update frequency, component quality, and user rating.

72Overall
★★★★ 4.3
Executions
30
Success rate
99
Update frequency
70
Component quality
87
User rating
86

Based on executions, success rate, update frequency, component quality, and user rating.

Components used

PaddleOCRpaddleocr

High-accuracy OCR that reads text, tables and stamps from scans and photos

PaddlePaddle/PaddleOCR ↗
Pandaspandas

Tabular compute — join, aggregate, validate and reshape the extracted records

pandas-dev/pandas ↗
LLM Reasoningllm

Large-language-model step that extracts, classifies, validates or writes structured output

FlowSync proprietary
OpenPyXLopenpyxl

Writes a formatted, formula-ready Excel workbook as the deliverable

theorchard/openpyxl ↗

How is this different from n8n or Zapier?

Unlike generic workflow builders, FlowSync workflows ship pre-configured with AI skills baked into every node — OCR, LLM reasoning, transcription, super-resolution — not just webhook triggers. Each node is white-box auditable: you see input, output, and config. Deployment is instant — no self-hosting, no API-key per node.

Use cases

  • Annual tax filing preparation
  • VAT/GST calculation
  • Deduction categorisation
  • Multi-jurisdiction tax summary

Author & Source

This workflow is maintained by the FlowSync team. All components are open-source or commercially licensed. Source code for each component is linked in the Components section above.

Pricing: Free tier available · PRO tier · Official

Data handling

Data is processed in-memory during pipeline execution only. No files are stored permanently unless you choose to save outputs to your account.

FlowSync Workflow Marketplace · 72 reputation score · 30% execution · 99% success · 4-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Drop receipts and financial records — PaddleOCR + Pandas categorise expenses, LLM applies tax rules and identifies deductions, generates a tax-ready summary Excel organised by schedule.