Telegram Export Too Large? Split It Up

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Telegram’s powerful data export feature is ideal for archiving personal chats, public channel content, and group discussions—but what happens when the exported file becomes too large to handle? As your usage grows over months or years, the size of exported data—especially media-rich conversations—can balloon to several gigabytes. This is particularly problematic if you’re dealing with limited system resources, need to upload the data to a cloud storage platform with file size limits, or simply want better organization. Telegram’s desktop export tool (available under Settings > Advanced > Export Telegram Data) gives you the ability to choose what types of data you want (messages, photos, files, stickers, etc.), but it doesn’t offer a built-in way to split large exports into smaller, more manageable chunks. Fortunately, there are multiple manual and automated strategies you can use to divide your Telegram export data by date range, chat, or content type, making it easier to store, analyze, or migrate data in a modular fashion.

One common approach to splitting Telegram egypt telemarketing data exports is to segment the data by chat. Telegram exports messages in folders named after each chat or channel, with each containing a messages.json (or messages.html) file and media subfolders. This makes it easy to isolate conversations individually—each chat’s data can be zipped or moved independently. If you’re only interested in certain chats, simply select them in the Telegram export UI before exporting. However, if you’ve already exported everything in one go and want to split the JSON files afterward, scripting tools like Python or jq (for command-line JSON parsing) can help. For example, using Python, you can write a script that reads the messages.json file, filters messages by from_id, chat_id, or title, and outputs separate JSON files for each chat. If you’re working with large group chats or channels, you can go a step further by dividing them by time periods—monthly, quarterly, or yearly segments—so each exported file contains only a portion of the full chat history. This is especially useful for archiving or regulatory compliance where time-stamped backups are needed.

Another helpful method is to split Telegram data by media type or size thresholds. For instance, if your export includes thousands of high-resolution photos or videos, separating media into different archives can drastically improve performance and usability. Each chat folder has subdirectories like photos, videos, files, and voice_messages. You can use Linux shell scripts, PowerShell, or Python scripts to batch media files into smaller folders or compress them individually. If you need to work with the messages.json file directly, it's also possible to filter entries based on media metadata (e.g., "media_type": "photo") and create a new JSON file containing only text messages, which will be smaller and easier to parse. For cloud users, splitting large exports before uploading ensures smoother syncing with platforms like Google Drive, Dropbox, or OneDrive. For developers, a robust export split also opens up possibilities for integrating parts of the Telegram data into databases, analytics dashboards, or web archives without being overwhelmed by file size or format complexity.

If you're looking for practical tools or custom scripts to split large Telegram exports by date, chat, or media type, I’d be happy to help. Just let me know your platform (Windows, Linux, macOS) and whether you’re using JSON or HTML exports, and I can generate a tailored solution for you!