使用Datalab.to API将PDF、DOC和图像转换为Markdown
中级
这是一个Document Extraction, Multimodal AI领域的自动化工作流，包含 11 个节点。主要使用 Set, Wait, Switch, FormTrigger, HttpRequest 等节点。 使用Datalab.to API将PDF、DOC和图像转换为Markdown
前置要求
- •可能需要目标 API 的认证凭证
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"meta": {
"instanceId": "b3c467df4053d13fe31cc98f3c66fa1d16300ba750506bfd019a0913cec71ea3"
},
"nodes": [
{
"id": "c302f8e5-6bed-4b64-8d52-33eaa5fce86a",
"name": "表单提交时",
"type": "n8n-nodes-base.formTrigger",
"position": [
-336,
48
],
"webhookId": "a857ad3f-4b4d-4574-b503-809a95b1fbbf",
"parameters": {
"options": {},
"formTitle": "upload file",
"formFields": {
"values": [
{
"fieldType": "file",
"fieldLabel": "file",
"multipleFiles": false,
"requiredField": true
}
]
}
},
"typeVersion": 2.2
},
{
"id": "3cc12307-f5da-476a-811a-79920f20abf7",
"name": "获取 Markdown",
"type": "n8n-nodes-base.httpRequest",
"position": [
336,
48
],
"parameters": {
"url": "={{ $json.request_check_url }}",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "7Wx4MGEDgCG0D7fT",
"name": "datalab.io"
}
},
"typeVersion": 4.2
},
{
"id": "ec9e9703-fb38-4ba5-97f6-a73bee7c47f7",
"name": "发送到 Datalab API",
"type": "n8n-nodes-base.httpRequest",
"position": [
-112,
48
],
"parameters": {
"url": "https://www.datalab.to/api/v1/marker",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "multipart-form-data",
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "max_pages",
"value": "4"
},
{
"name": "use_llm",
"value": "true"
},
{
"name": "output_format",
"value": "markdown"
},
{
"name": "file",
"parameterType": "formBinaryData",
"inputDataFieldName": "file"
}
]
},
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "7Wx4MGEDgCG0D7fT",
"name": "datalab.io"
}
},
"typeVersion": 4.2
},
{
"id": "542793bf-05c1-4c6c-b0e0-b087669f966c",
"name": "设置字段",
"type": "n8n-nodes-base.set",
"position": [
560,
48
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "20280dbd-8188-4f5e-8e4e-74621d65d40a",
"name": "markdown",
"type": "string",
"value": "={{ $json.markdown }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "cb900de1-e4b1-488f-8a12-9946bb8466f6",
"name": "等待",
"type": "n8n-nodes-base.wait",
"position": [
112,
48
],
"webhookId": "7b49cf9b-9859-4361-a8b8-2407d114d418",
"parameters": {
"amount": 10
},
"typeVersion": 1.1
},
{
"id": "9fcdcaab-2041-4411-8ec1-10edfe29f1d6",
"name": "便签13",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1424,
-32
],
"parameters": {
"width": 972,
"height": 564,
"content": ""
},
"typeVersion": 1
},
{
"id": "32550fd8-2570-4e42-b249-8d53288da00a",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-416,
-32
],
"parameters": {
"width": 1200,
"height": 272,
"content": "## 使用 Datalab.to 将文件转换为适用于 LLM 的 Markdown 格式"
},
"typeVersion": 1
},
{
"id": "f968189c-83c4-436c-91c6-dc0313ee4256",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-416,
272
],
"parameters": {
"width": 1200,
"height": 256,
"content": "## 指南"
},
"typeVersion": 1
},
{
"id": "883e4090-cb4f-4de6-bfc4-4c5c7ce85728",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
816,
-32
],
"parameters": {
"color": 6,
"width": 400,
"height": 416,
"content": "## 轮询确认节点"
},
"typeVersion": 1
},
{
"id": "4f0c8ae8-e92e-419f-a609-d426db8321d8",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"disabled": true,
"position": [
832,
192
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "success",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "cbac06bd-0ee6-40ac-bad9-bdb0929ca0ad",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "complete"
}
]
},
"renameOutput": true
},
{
"outputKey": "failed",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "bc2570f6-c9ec-4c4f-9a04-863be5fb1ced",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "complete"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "33ec2be6-e49a-4973-b105-5db71fc2cf40",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
816,
400
],
"parameters": {
"color": 4,
"width": 400,
"height": 128,
"content": "## 想与我合作吗？"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Wait": {
"main": [
[
{
"node": "Get Markdown",
"type": "main",
"index": 0
}
]
]
},
"Get Markdown": {
"main": [
[
{
"node": "Set Fields",
"type": "main",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Send to Datalab API",
"type": "main",
"index": 0
}
]
]
},
"Send to Datalab API": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
中级 - 文档提取, 多模态 AI
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
相关工作流推荐
PDF 转订单
使用AI将PDF采购订单自动化转换为Adobe Commerce销售订单
If
Set
Code
+19
96 节点JKingma
文档提取
使用 Google Slides 和 Flux 将会议转录转换为 AI 生成演示文稿
使用 Google Slides 和 Flux 将会议转录转换为 AI 生成演示文稿
Set
Code
Wait
+14
107 节点Joseph
内容创作
使用GPT-4.1-mini、Firecrawl和Parsera将网站转换为LLM就绪知识库
使用GPT-4.1-mini、Firecrawl和Parsera将网站转换为LLM就绪知识库
Set
Switch
Split Out
+7
31 节点Aayushman Sharma
文档提取
1. 播放列表详情设置机器人副本
使用 Suno、GPT-4、Runway 和 Creatomate 创建 AI 生成的 YouTube 音乐播放列表
If
Set
Code
+22
203 节点Joseph
内容创作
合并
使用Suno API、Claude和Telegram机器人创建完整的20首YouTube播放列表
If
Set
Code
+17
150 节点Joseph
内容创作
基于AI的WhatsApp支持机器人（Google Sheets工单创建）
基于AI的WhatsApp支持机器人（Google Sheets工单创建）
Set
Xml
Code
+20
35 节点Zain Khan
客服机器人
工作流信息
难度等级
中级
节点数量11
分类2
节点类型6
作者
Joseph
@mjombaAutomation expert specializing in building smart, scalable workflows using tools like n8n, Make, and Airtable. I help businesses save time, reduce manual work, and grow faster with tailored automation solutions. Feel free to reach out at joseph@uppfy.com to discuss your project. I am also on x.com/juppfy
外部链接
在 n8n.io 查看 →
分享此工作流