A specialized utility for converting raw Telegram Desktop JSON exports into polished, long screenshot-style images using Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install telegram-chat-to-image
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install telegram-chat-to-image using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Telegram Chat to Image?
Telegram Chat to Image is a developer-centric tool designed to bridge the gap between raw data exports and visual communication. It parses the JSON structure provided by Telegram Desktop and renders a high-fidelity image that mimics the iOS chat interface, complete with color-coded bubbles and avatars. This skill is a vital part of the Openclaw Skills library for users who need to create professional-looking chat archives or share long conversations without the hassle of taking multiple manual screenshots.
The tool handles complex formatting tasks such as character-aware text wrapping, timestamp alignment, and sender differentiation. By leveraging Openclaw Skills, developers can automate the generation of conversation visuals for documentation, legal archiving, or social sharing while maintaining a clean and consistent aesthetic.
Telegram Chat to Image Use Cases
- Documenting project discussions for stakeholders in a readable visual format.
- Archiving long Telegram conversations as a single, searchable image file.
- Generating high-quality chat mockups from real data exports using Openclaw Skills.
- Bypassing Telegram's image compression by generating and packaging long screenshots into ZIP files.
How Telegram Chat to Image Works
- The user exports a chat history from Telegram Desktop specifically in JSON format.
- The Openclaw Skills script takes the JSON file as input and initializes a rendering canvas using the Pillow library.
- The script iterates through the message array, identifying the sender to determine bubble color (blue for 'me', gray for others).
- Text is processed through a word-wrap engine that checks character widths to ensure proper display, especially for multi-language support.
- Avatars are generated dynamically using initials, and timestamps are formatted into a standard HH:MM layout.
- The final output is stitched into a single vertical PNG image with a default width of 800px.
Telegram Chat to Image Setup
First, ensure you have the required image processing library installed:
pip install Pillow
To use this within the Openclaw Skills environment, run the script via CLI:
python3 scripts/chat_to_image.py --input result.json --output chat.png
For Chinese text support, specify a compatible font path:
python3 scripts/chat_to_image.py --input result.json --font /path/to/font.ttc
Telegram Chat to Image Data Schema & Taxonomy
The skill expects a standard Telegram Desktop JSON export. Key fields processed include:
| Key | Description |
|---|---|
from |
The display name of the message sender. |
from_id |
Used to distinguish between the user and other participants. |
text |
The string or array content of the message. |
date |
ISO timestamp used for rendering the chat time. |
Output metadata includes a fixed image width of 800px and dynamic height based on message count.
Telegram Chat to Image Advanced Features
- Multi-language support with custom font path injection for perfect Chinese character rendering.
- Message limitation using the
--limitflag to process specific segments of large chat histories. - iOS-style UI logic that automatically calculates bubble padding and avatar placement.
- High-resolution rendering compatible with Openclaw Skills automated workflows.
- ZIP packaging recommendations to maintain image clarity against platform compression.
SKILL.md
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