AI research agents to automate PDF analysis with Mistral’s best-in-class OCR

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Overview Mistral OCR is a cutting edge document understanding API that improves how businesses extract and process information from complex documents. With top scores in benchmarks for accuracy and...

Best for

Document Extraction automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.merge, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.gmail, n8n-nodes-base.executeworkflowtrigger

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Derek Cheung.

Original n8n.io source

1.1 Workflow description

Title: AI research agents to automate PDF analysis with Mistral’s best-in-class OCR
Workflow name: AI research agents to automate PDF analysis with Mistral’s best-in-class OCR

Overview

Mistral OCR is a cutting-edge document understanding API that improves how businesses extract and process information from complex documents. With top scores in benchmarks for accuracy and comprehension capabilities, Mistral OCR handles multi-column text, charts, diagrams, and multiple languages.

This workflow uses Mistral's Document understanding OCR API to automatically turns dense PDFs (such as financial reports) into either deep research reports or concise newsletters

Key Features

Superior Document Understanding: Processes complex documents with high-fidelity rendering
Multi-Format Support: Handles PDFs containing text, images, charts, and diagrams
Multilingual Capabilities: Accurately processes documents in various languages
Seamless API Integration: Easy implementation through cloud-based API
Customizable Research Depth: Generate comprehensive 8-page reports or concise 1,750-word newsletters

How It Works

Document Upload: Submit your PDF through an n8n form interface.
Output Format Selection: Choose between comprehensive deep research (3,500 words) or Concise newsletter (1,750 words)
Custom Instructions: Tailor the analysis by adding specific focus areas (e.g., quantitative data, growth catalysts).
AI Processing: The document undergoes multi-stage AI analysis: OCR and text extraction using Mistral AI and Content structuring and summarization using GPT models

Agents:

Research Leader: Plans and conducts initial research, creating a table of contents.
Project Planner: Breaks down the table of contents into manageable sections.
Research Assistants: Multiple agents that conduct in-depth research on assigned sections.
Editor: Compiles and refines the final article, ensuring coherence and proper citations.

Setup

API Key Acquisition:

Obtain an API key from OpenRouter.ai
Get an API key from Mistral.ai

n8n Configuration:

In your n8n instance, navigate to the credentials section.
Create new credentials for OpenRouter and Mistral, inputting the respective API keys.

Form Configuration:

Customize the input form fields if needed (e.g., adding company-specific options).
Output Customization: Adjust the word count parameters in the Project Planner node to change output length.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Merge chapters title and text

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 2.1

Block 3 - Final article text

Type / Role: n8n-nodes-base.code - code
Config choices: Version 1

Block 4 - Research Leader 🔬

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.6

Block 5 - Delegate to Research Assistants

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 6 - Research Assistant

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.6

Block 7 - Project Planner

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.6

Block 8 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Title1

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.4

Block 13 - Gmail1

Type / Role: n8n-nodes-base.gmail - gmail
Config choices: Version 2.1

Block 14 - Editor

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.6

Block 15 - Sticky Note7

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - When Executed by Another Workflow

Type / Role: n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices: Version 1.1

Block 17 - Document Understanding

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 18 - Mistral Upload

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 19 - Mistral Signed URL

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 20 - Mistral_PDF

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 2

Block 21 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 22 - Mistral_PDF1

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 2

Block 23 - Mistral_PDF2

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 2

Block 24 - On form submission

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Showing the first 24 of 30 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	AI research agents to automate PDF analysis with Mistral’s best-in-class OCR
Complexity	advanced
Nodes	30
Categories	Document Extraction, AI Summarization
Author	Derek Cheung
Published	19 Mar 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/3223/3223.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does AI research agents to automate PDF analysis with Mistral’s best-in-class OCR do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.

Derek Cheung

15 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.merge n8n-nodes-base.code @n8n/n8n-nodes-langchain.agent n8n-nodes-base.splitout @n8n/n8n-nodes-langchain.chainllm n8n-nodes-base.gmail n8n-nodes-base.executeworkflowtrigger

Complexity

advanced

Published 19 Mar 2025

Likes 0

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Install path: /data/workflows/3223/3223.json

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AI research agents to automate PDF analysis with Mistral’s best-in-class OCR

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Overview

Key Features

How It Works

Setup

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Merge chapters title and text

Block 3 - Final article text

Block 4 - Research Leader 🔬

Block 5 - Delegate to Research Assistants

Block 6 - Research Assistant

Block 7 - Project Planner

Block 8 - Sticky Note6

Block 9 - Sticky Note1

Block 10 - Sticky Note2

Block 11 - Sticky Note3

Block 12 - Title1

Block 13 - Gmail1

Block 14 - Editor

Block 15 - Sticky Note7

Block 16 - When Executed by Another Workflow

Block 17 - Document Understanding

Block 18 - Mistral Upload

Block 19 - Mistral Signed URL

Block 20 - Mistral_PDF

Block 21 - Structured Output Parser

Block 22 - Mistral_PDF1

Block 23 - Mistral_PDF2

Block 24 - On form submission

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions