This workflow turns any Telegram bot into an AI-powered social media command center for photos, videos and voice notes.

video demo

From one Telegram chat you can:

• Send a photo and auto-post it to Instagram, TikTok and Pinterest with AI captions.
• Send a video and:
  • Let AI generate titles + descriptions and upload it to TikTok, Instagram and YouTube.
  • Use /thumb to generate 4 custom thumbnails with Nano Banana Pro.
  • Use /edit ... to run FFmpeg edits (cut, mute, resize, speed, etc.) via Upload-Post FFmpeg jobs and get the edited video back in Telegram.
• Send a voice note and turn it into posts for LinkedIn, X (Twitter) and Threads, then auto-publish.
• Keep human approval in the loop: every caption or text post is shown in Telegram for you to accept before publishing.

Out of the box, the captions and long descriptions are optimized for Spanish (es-ES), but you can easily change the prompts to any language or brand voice.

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What You Can Do From Telegram

1. Photo → Instagram, TikTok & Pinterest

Just send a photo (or image as document) to your Telegram bot:

• The workflow downloads the photo from Telegram.
• Gemini 2.5 Flash analyzes the image plus your caption/text (if any).
• An AI Agent generates platform-specific descriptions for:
  • TikTok (short hook, 90 chars)
  • Instagram
  • Pinterest (title + description)
• You receive a message in Telegram with all the proposed descriptions.
• You approve or reject with inline buttons.
• On approval, Upload-Post publishes the photo to:
  • Instagram
  • TikTok
  • Pinterest (to the board you configured)
    and sends back a status message with success flags, post URLs and error messages.

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2. Video → TikTok, Instagram & YouTube (no commands)

If you send a video with no special caption:

• The workflow treats it as a standard video post.
• It fetches the file from Telegram.
• Gemini 2.5 Flash analyzes the video and describes its content.
• An AI Agent turns that description + your caption into:
  • TikTok description
  • Instagram description
  • YouTube title + description
• You get a Telegram message with the three platform descriptions to review.
• Once you approve:
  • It shows “Uploading…” in Telegram.
  • The video is sent to Upload-Post, which uploads to TikTok, Instagram and YouTube with the generated text.
  • Finally, you receive an upload report for each platform (success, URL, error message).

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3. /thumb → AI Thumbnails for Your Video (Nano Banana Pro)

If you send a video with caption exactly /thumb:

• The workflow downloads the video.
• Gemini 2.5 Flash generates a long, SEO-rich description in Spanish of everything that happens in the video.
• A second AI Agent uses that detailed description to create 3 concepts:
  • Each concept has: title, description, and a full prompt_thumbnail (Spanish, single line) specially crafted for Nano Banana Pro.
• In Telegram you see the 3 concepts (titles) and select:
  • 0, 1, 2 or “create new”.
• Once you choose a concept:
  • The prompt is sent to Nano Banana Pro (fal-ai/nano-banana-pro/edit) with your reference face image (configurable).
  • Nano Banana Pro generates 4 thumbnails (16:9).
  • The workflow downloads the 4 images and sends them back to you in Telegram as photos so you can pick and use your favorite in your YouTube/Upload-Post pipeline.

Use /thumb whenever you already have the video and just want killer thumbnails generated with AI.

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4. /edit … → Natural-Language FFmpeg Video Editor

If you send a video with a caption starting with /edit, for example:

• /edit cut the first 3 seconds and remove the audio
• /edit crop to vertical 9:16 and speed up x1.5
• /edit blur the background and keep the subject centered

The workflow behaves as a text-to-FFmpeg command generator:

• An AI Agent (powered by Gemini) reads your /edit instructions.
• It generates a safe FFmpeg command in JSON format:
  • Always uses ffmpeg -y
  • Uses {input} and {output} placeholders
  • No semicolons and no dangerous shell characters
• The workflow then:
  • Downloads the original video from Telegram.
  • Calls Upload-Post FFmpeg jobs API with the video and the generated full_command.
  • Polls the job status until it’s finished.
  • Downloads the processed (edited) video.
  • Sends the edited video back to you in Telegram with a simple sendVideo node.

This makes Telegram a front-end for a remote FFmpeg engine: you describe the edit in natural language, and the workflow handles all the FFmpeg complexity.

> Note: The edited video is returned to Telegram; if you want to auto-post it, simply send the new video again without /edit so it goes through the normal multi-platform publishing path.

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5. Voice Notes → LinkedIn, X & Threads (Text Posts)

For voice messages:

• The Telegram Trigger detects message.voice.
• The workflow downloads the audio file.
• OpenAI Whisper transcribes the recording.
• An AI Agent turns the transcription into:
  • A LinkedIn post (Spanish, long-form dev/creator style, based on your examples).
  • A Threads post (Spanish, up to ~500 chars).
  • A Tweet / X post or thread (English, using hooks + hashtags like #n8n, #automation, #dev).
• In Telegram you see a preview message with the suggested copy for Threads, LinkedIn and X.
• After you approve:
  • You get an “Uploading…” message.
  • Upload-Post publishes:
    • To your LinkedIn organization page (configured by ID).
    • To X (Twitter).
    • To Threads.
  • The workflow sends a status message with success flags and URLs for each platform.

This is perfect for “talk to your phone, ship content to all your text platforms”.

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How the Workflow Is Structured

• Telegram Trigger
  Listens to every incoming message and routes by type:

  • /start → No-Op
  • voice → Audio pipeline
  • document/photo → Photo pipeline
  • video → Video/thumbnail/editor pipelines (/thumb, /edit or normal)

• AI Blocks (Gemini + OpenAI)

  • Gemini 2.5 Flash for:
    • Photo understanding.
    • Short video descriptions (for auto-posting).
    • Long, detailed video summaries (for thumbnail generator).
  • OpenAI Whisper for voice transcription.
  • Multiple AI Agents (Gemini chat) with structured JSON output parsers for:
    • Per-platform social captions.
    • Threads/LinkedIn/X posts.
    • Thumbnail prompts and title concepts.
    • FFmpeg command generation.

• Upload-Post Integration

  • Photos → Instagram, TikTok, Pinterest.
  • Videos → TikTok, Instagram, YouTube.
  • Text → LinkedIn page, X, Threads.
  • FFmpeg job endpoint for server-side video editing.
  • All uploads return status, URL and error messages back into Telegram.

• Human-in-the-Loop

  • All critical AI outputs go through sendAndWait nodes in Telegram:
    • You review and choose whether to publish or not.
    • You choose which thumbnail concept to use.

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Requirements & Setup

• Accounts & APIs

  • Telegram bot (via @BotFather).
  • Upload-Post.com account with your social profiles connected.
  • OpenAI API key (Whisper).
  • Google Gemini API key (AI Studio).
  • Nano Banana Pro / fal.ai key (for thumbnails).

• Runtime

  • n8n instance (cloud or self-hosted).
  • FFmpeg available where n8n runs (Docker image, VM, etc.) for local checks if needed (the heavy lifting is delegated to Upload-Post FFmpeg jobs).

• Configuration

  • Create Telegram credentials with your bot token.
  • Create Upload-Post credentials with your API token.
  • Set upload_post_user and pinterest_board_id in the Edit Fields node.
  • Optionally replace:
    • Example face image URL used for Nano Banana Pro.
    • LinkedIn organization ID.
    • Any language / tone in the AI agent system prompts.

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Ideal Use Cases

• Creators & influencers who want to post to every platform from one Telegram chat.
• Agencies who want a “content butler” clients can use without touching n8n.
• Solo devs & makers who publish workflows, devlogs and product updates and want:
  • Multi-platform video posts.
  • Voice → LinkedIn/X/Threads posts.
  • Easy text-based video editing and thumbnail generation.

Install this template, plug in your keys, talk to your bot in Telegram, and turn it into your all-in-one AI social media machine.