English
ProFinance4 节点
评分 72

Bank Statement Reconciliation

Upload bank statement scans and accounting export — PaddleOCR extracts transactions, Pandas cross-references against ledger, LLM matches near-miss entries, exports a reconcilied Excel with flagged discrepancies.

这个工作流做什么?

投入你的PaddleOCR——管线自动执行 4 个步骤:PaddleOCR → Pandas → LLM Reasoning → OpenPyXL——最终输出OpenPyXL。每个节点都可见、可审计、可替换。

系统流程

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

管线分解

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

工作流信誉评分

基于执行次数、成功率、更新频率、组件质量和用户评分。

72总分
★★★★ 4.3
执行次数
30
成功率
99
更新频率
70
组件质量
87
用户评分
86

基于执行次数、成功率、更新频率、组件质量和用户评分。

使用组件

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 ↗

与 n8n / Zapier 有什么不同?

与通用工作流构建器不同,FlowSync 工作流在每个节点中预置了 AI 能力——OCR、LLM 推理、转录、超分辨率——不仅仅是 webhook 触发器。每个节点都白盒可审计:你能看到输入、输出和配置。部署即时——无需自托管,无需逐节点配置 API 密钥。

使用场景

  • Monthly bank reconciliation
  • Credit card statement matching
  • Multi-account consolidation
  • Petty cash audit

作者与来源

此工作流由 FlowSync 团队维护。所有组件均为开源或商业授权。各组件的源码链接见上方"组件"部分。

定价: 提供免费层 · PRO tier · 官方

数据处理

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

FlowSync 工作流市场 · 72 分信誉评分 · 30% 执行率 · 99% 成功率 · 4 节点白盒管线 · FlowSync Official 维护

准备好运行了吗?

Upload bank statement scans and accounting export — PaddleOCR extracts transactions, Pandas cross-references against ledger, LLM matches near-miss entries, exports a reconcilied Excel with flagged discrepancies.