Extract invoice data from scanned PDFs to Google Sheets with Sarvam and Gemini — n8n 工作流

复杂度 触发器16 个节点🏷️ Invoice Processing👁 1 次查看作者:Divyanshu Gupta

概览

This template is designed for operations, finance, and accounting teams that need to automatically process scanned invoices and extract structured data without manual entry.

It is ideal for businesses handling vendor invoices, reimbursement forms, or bulk document intake.

What this workflow does This workflow uses Sarvam AI Vision model to perform OCR on scanned invoices and extract raw text. The extracted content is then processed using an LLM to identify key invoice fields such as:

Vendor n

使用的节点

Google SheetsHTTP RequestCompressionCodeGoogle Gemini Chat ModelInformation Extractor

工作流预览

!Sarvam
Try It Out!
This template is designed for operations, finance, and
It is
Step 1 – Upload invoice to Sarvam
Creates an OCR job and uploads the invoice PDF to Sarva
Step 2 – Run OCR and monitor status
Starts invoice OCR processing and polls the job status
Step 3 – Retrieve OCR output
Downloads the processed invoice output, decompresses th
Step 4 – Convert OCR text to structured invoi
Cleans OCR text and uses an LLM to extract structured i
Step 5 – Store invoice data
Appends extracted invoice fields to Google Sheets for a
model
Get OCR Result
W
Wait
Information Extractor
Google Gemini Chat Model
T
Trigger – Invoice upload…
Create Sarvam invoice OC…
Generate Sarvam presigne…
M
Merge job details with u…
Upload invoice PDF to Sa…
Start Sarvam invoice OCR
Check Sarvam OCR status
Download Sarvam OCR outp…
Decompress OCR result file
E
Extract invoice OCR JSON
Prepare invoice text for…
Append extracted invoice…
16 nodes16 edges

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 16 个节点, connecting code, compression, extractfromfile。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (16)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
CO

Compression

compression

#3
CO

Code

code

#4
GO

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

#5
IN

Information Extractor

n8n-nodes-langchain.informationExtractor

#6

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例,依次点击 工作流 → 新建 → 从文件导入
  3. 3选择下载的 extract-invoice-data-from-scanned-pdfs-to-google-sheets-with-sarvam-and-gemini 文件并点击导入。
  4. 4为每个服务节点配置 凭证(API 密钥、OAuth 等)。
  5. 5点击 测试工作流 验证一切正常,然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴:

{ "name": "Extract invoice data from scanned PDFs to Google Sheets with Sarvam and Gemini", "nodes": [...], ...}

集成

codecompressionextractfromfileformtriggergooglesheetshttprequestinformationextractorlmchatgooglegeminimergewait

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点16
复杂度high
触发器trigger
查看次数1

创建者

Divyanshu Gupta

Divyanshu Gupta

@divyanshugupta

标签

codecompressionextractfromfileformtriggergooglesheetshttprequestinformationextractorlmchatgooglegeminimergewait

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🔗 Webhook·12 nodes