Block 1 - Read Transcript File
- Type / Role
- n8n-nodes-base.readBinaryFile - readBinaryFile
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
This workflow automates the process of turning your video transcripts into platform specific social media posts using AI. It reads any uploaded transcript file, analyzes the text, and automatically...
n8n-nodes-base.readbinaryfile, n8n-nodes-base.movebinarydata, n8n-nodes-base.function, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgroq, n8n-nodes-base.set, n8n-nodes-base.manualtrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Muhammad Shaheer Awan.
Original n8n.io sourceThis workflow automates the process of turning your video transcripts into platform-specific social media posts using AI. It reads any uploaded transcript file, analyzes the text, and automatically generates full-length, engaging posts with image prompts for Facebook, LinkedIn, Instagram, Reddit, and WhatsApp.
Perfect for creators, marketers, and automation builders who want to repurpose long-form content into viral posts, all in one click.
The Manual Trigger starts the workflow.
The Read Binary File node imports your video transcript (TXT format).
The Move Binary Data and Set nodes convert it into a text string for processing.
The AI Agent (LangChain) powered by Groq AI analyzes the transcript and generates human-like social media posts with realistic image prompts.
The Function Node parses and structures the output by platform.
The Google Sheets Node automatically saves all content — ready for scheduling or publishing.
The SerpAPI Integration enhances contextual awareness by referencing real-time search trends.
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.
| Workflow | Transform video transcripts into multi-platform social media posts with Groq AI |
|---|---|
| Complexity | intermediate |
| Nodes | 11 |
| Categories | Content Creation, Multimodal AI |
| Author | Muhammad Shaheer Awan |
| Published | 09 Nov 2025 |
Use the JSON export at /data/workflows/10656/10656.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
This workflow automates the process of turning your video transcripts into platform specific social media posts using AI. It reads any uploaded transcript file, analyzes the text, and automatically...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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 Content Creation, Multimodal AI use case.