🎬 Create & share AI videos with Telegram, Gemini & post to TikTok, Instagram, FB

⚡ 2,309 views · 🎬 Content Creation & Video

💡 Pro Tip — Heads up — if this workflow’s Instagram scraping breaks (it happens whenever Meta updates their frontend), ScraperNode is a community node that handles profiles, posts, reels, and comments without any HTML parsing.

Description

Video Generation with Telegram Bot and Gemini API – Auto-Post to TikTok, Instagram & Facebook

This n8n workflow turns your Telegram messenger into a full video content pipeline: you send a text or voice idea to a Telegram bot, collaborate with an AI on the script and caption, let Gemini generate the video, and then automatically publish it to TikTok, Instagram and Facebook – all with status tracking and Telegram confirmations.

What You Need to Get Started

This workflow connects several external services. You’ll need:

• Telegram Bot API Key

  • Create a bot via Telegram’s BotFather and copy the bot token.
  • This is used by the Listen for incoming events and other Telegram nodes.

• OpenAI API Key

  • Required for:

    • Speech to Text (OpenAI Whisper) – to transcribe voice notes.
    • The OpenAI Chat Model used inside the AI Agent.

• Google Gemini / Vertex (via n8n Gemini Node)

  • Used by the Generate a video node (model: veo-3.0-fast-generate-001) to create the video.

• Google Drive

  • The generated video is temporarily stored in a Google Drive folder via Upload video and later downloaded again for uploading to Blotato.

*** Blotato API Key***

• Social media publishing layer:

  • Uploads the video as media.
  • Creates posts for TikTok, Instagram and Facebook.
  • Exposes a status endpoint the workflow uses for polling.

• Google Sheets Access (optional but included)

  • Used by Save Prompt & Post-Text to log your prompts and captions.

Once these credentials are configured in n8n, the workflow runs end-to-end from Telegram idea to multi-platform publishing.

How the Workflow Operates – Step by Step

1. Input & Initial Processing (Telegram + Voice Handling)

This phase listens to your messages and normalizes them into a single text input for the AI.

• If you send text: The workflow skips the voice download/transcription and goes directly to the AI agent with your original text.

• If you send a voice note: The workflow downloads the file, runs it through Whisper in Speech to Text, and passes the resulting transcript onward.

The output of this stage is always a clean text string representing your idea.

2. AI Core & Approval Loop (Script + Caption via AI)

Here the AI designs the video prompt (for Gemini) and the social media caption (for all platforms), then iterates with you until you approve.

Video Prompt Assistant System Prompt (Internal Instructions)

The AI Agent is configured with a system message like:

> You are a video prompt assistant for Telegram. > > 1. Analyze the user’s message and create a video prompt. > 2. Create relevant social media text with hashtags. > 3. Present both to the user and ask for feedback. > 4. If the user requests changes, refine and present again. > 5. Only when the user says “approved” or “ok”, output a final JSON: > { "videoPrompt": "...", "socialMediaText": "..." }

Key behavior:

• Before approval: The agent always responds with human-readable suggestions (prompt + caption) and a follow-up question asking what to change.

• After approval: The agent returns only JSON (no Markdown, no explanation) with:

  • videoPrompt – to be sent to Gemini.
  • socialMediaText – to be used as a caption on all platforms.

JSON Parsing

If the AI output is approved JSON, this node returns two clean fields:

• videoPrompt
• socialMediaText

These are used in all subsequent steps.

3. User Feedback & Logging

Right after parsing the final JSON, the workflow informs you and logs the content.

This gives you both visibility (confirmation message) and historical tracking of your content ideas.

4. Video Generation with Gemini

Now the actual video is created using Google Gemini’s video model.

The videoPrompt from the AI agent is passed directly into this node. The resulting binary output is a generated short-form video suitable for TikTok, Reels and Stories.

5. Staging the Video in Google Drive

To make the video accessible for Blotato, the workflow uses Google Drive as a simple file staging area.

Using Drive ensures that the file is properly hosted and addressable when uploading to [Blotato]’s media API.

6. Uploading to [Blotato]and Creating Posts

First, the video is sent to [Blotato] as a media asset. Then three separate posts are created for TikTok, Instagram, and Facebook.

Media Upload

Platform-Specific Post Creation

From the uploaded media, the workflow fans out into three branches:

At this point, all three platforms have an initial “post submission” created via [Blotato]. Next, the workflow tracks their publishing status.

7. Status Monitoring & Retry Loops

Each platform has its own mini-loop that polls [Blotato]) until the post is either published or failed.

TikTok Status Loop

Instagram Status Loop

Facebook Status Loop

This structure ensures that each platform is monitored independently, with clear success or error messages delivered right into your Telegram chat.

🛠️ Personalizing Your Video Content Bot

The real power of this workflow is how easy it is to adapt it to your own style, platforms, and preferences.

1. Tweak the AI Prompt & Behavior

• Where: Inside the AI Agent node, in the System Message (systemMessage) of the options.

• What you can change:

  • The tone (funny, educational, corporate, storytelling, etc.).
  • The level of detail in the video prompt (camera moves, style, characters, environment).
  • The caption structure (hook, value, CTA, hashtag strategy).
  • Whether the agent should produce multiple variants or just one.

You can also extend it, e.g.:

• Ask for multi-slide carousel prompts instead of a single video.
• Force language (e.g., always English, always German).
• Add platform-specific hints (e.g., stronger hooks for TikTok).

2. Change Video Model or Aspect Ratio

• Where: Generate a video node.

• Options:

  • Swap the model (within the Gemini node) if you want higher quality or different behavior.
  • Adjust the aspectRatio from 9:16 to 16:9 or 1:1 depending on your target platform.

3. Modify Which Platforms You Post To

• Where: Blotato nodes:

  • Create TikTok post
  • Create post1 (Instagram)
  • Create Facebook post

You can:

• Disable or delete branches for platforms you don’t use.
• Add new accounts or platforms supported by Blotato.
• Use different captions per platform (e.g. shorter for TikTok, more detailed for Facebook) by adding extra AI formatting steps.

4. Adjust Wait Times and Retry Logic

• Where: Wait and IF nodes:

  • Wait, Wait1, Wait2, Give Blotat other 5s :), Give Blotat more time, Give Blotat other 5s :)2

• What:

  • Increase or decrease retry intervals.
  • Limit the number of loops (e.g. by adding a counter) if needed.
  • Customize error messages in the Telegram nodes.

5. Extend Logging & Analytics

• Where: Save Prompt & Post-Text (Google Sheets).

• Ideas:

  • Add more columns (timestamp, platform flags, target audience, campaign name).
  • Write back publish status and final URLs after success.
  • Use this sheet as a content inventory or analytics base.

In short, this workflow gives you a full AI-powered video pipeline:

1. Idea (text/voice) via Telegram
2. Drafting & approval of video prompt + caption via OpenAI agent
3. Video generation with Gemini (veo)
4. Staging in Google Drive
5. Auto-posting and status monitoring across TikTok, Instagram & Facebook via Blotato
6. All communication and confirmations returned directly to Telegram

And everything is fully editable so you can adapt it precisely to your personal brand and content strategy.

🔗 Nodes Used

Google Sheets, Telegram, Telegram Trigger, Google Drive, AI Agent, OpenAI Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup