Telegram Desktop Chat-History Migration

Windows one-click launcher

Prefer a guided setup instead of typing commands? Download the Windows click-to-run launcher:

Download the Windows launcher (.zip)

1. Download and extract the ZIP file.
2. Double-click Run Telegram Migration.bat.
3. On first launch, Notepad opens a local .env file. Add your own Telegram API ID and API hash, bot token, and destination channel.
4. Double-click the launcher again. It creates an isolated Python environment, installs the published PyPI package, and lets you choose the Telegram Desktop export folder.
5. It runs a dry-run preview first. Review the destination and preview; type YES only when you are ready to send, then confirm the destination channel.

Requirements: Windows, Python 3.10 or newer, and an internet connection for the first package installation. Keep the HTML export pages and their accompanying media folders together. The bot must be an administrator in the destination channel with permission to post.

The launcher uses the current public PyPI release; it does not install unreleased changes from the GitHub repository. Never share your .env file, bot token, API hash, session files, or private Telegram export.

A Python tool for reconstructing a Telegram conversation in a destination channel from a Telegram Desktop export (messages.html, messages2.html, etc.) and the media files that accompany it. Use it as a command-line tool (python -m telegram_migration) or import it as a Python library (from telegram_migration import Settings, run).

Scope: this program migrates a local export. It does not sign into Telegram Web or retrieve the complete live history of an unrelated channel. Most reconstructed messages are newly sent by your destination bot; the program cannot recreate arbitrary historical sender identities or original native reaction totals. This program uses Telegram's official Bot API/MTProto bot authentication to send migrated messages, rather than logging in through your personal Telegram account. It does not require your personal phone number, SMS login code, or personal account session, reducing the exposure of your personal account credentials. The bot operates under its own identity, so sending limits and restrictions primarily affect the bot.

Features

• Streams Telegram Desktop HTML exports instead of loading every page into memory at once.
• Reconstructs supported rich-text formatting (including italics, bold, underline, strike, code, links, spoilers, and blockquotes) using Telegram message entities.
• Displays each original sender as a bold heading, followed by an italic, human-readable timestamp and the message body; original accounts are not impersonated.
• Reconstructs Telegram Desktop service events (such as joins, removals, pins and group changes) as clearly labelled archival entries. HTML exports provide the calendar date for these events, but not always the exact clock time.
• Handles common exported media: photos, documents, videos, GIFs, voice messages, round videos, and sticker files.
• Maps source message IDs to destination IDs to restore reply links where possible; audits available reply links.
• Persists partial-send state so interrupted runs can often resume without intentionally resending already-recorded pieces.
• Checks oversized attachments before sending and stops with instructions for manual handling.
• Uses FloodWait handling and records failures and formatting fallbacks.
• Can archive reaction metadata from a compatible companion JSON export as text notes, including available counts and actor labels. It cannot recreate the original voters or historical totals as live Telegram reactions.
• Uses a Telegram bot session for sending. It does not require a personal-account login for the migration itself.

Requirements

• Python 3.10 or newer recommended.
• A Telegram API ID and API hash from my.telegram.org.
• A bot token from @BotFather.
• The bot must be an administrator in the destination channel with permission to post.
• A Telegram Desktop export with its HTML pages and media folders kept together.

Install

pip install telegram-migration

For video-sticker metadata support (optional, only needed if your archive contains .webm stickers and ffprobe isn't already installed):

pip install "telegram-migration[media]"

From source (for development)

If you want to modify the tool or run the test suite:

git clone https://github.com/ifaac/Telegram_Migration.git
cd Telegram_Migration
python -m venv .venv
# activate the venv, then:
python -m pip install -e ".[media]"
python -m unittest discover -s tests -v

Configure

1. Copy .env.example to .env in the folder from which you will launch the command.
2. Replace the example API hash, bot token, and destination peer with your own values.
3. Put your exported Telegram HTML pages and media folders in the directory specified by TELEGRAM_EXPORT_DIR.

The telegram-migration command loads .env from its current working directory by default. Run it from the folder containing .env, or use --env-file PATH to select a different file.

Example .env:

TELEGRAM_API_ID=12345678
TELEGRAM_API_HASH=replace_with_your_api_hash
TELEGRAM_BOT_TOKEN=replace_with_your_new_bot_token
TELEGRAM_CHANNEL_PEER=-1001234567890
TELEGRAM_EXPORT_DIR=./telegram_export
TELEGRAM_DRY_RUN=true
TELEGRAM_SKIP_CONFIRMATION=false

TELEGRAM_CHANNEL_PEER may be a numeric peer ID (for example -1001234567890) or a public @username. The program intentionally has no preconfigured destination ID.

TELEGRAM_API_ID has no default: use your own from my.telegram.org. The program refuses to start while any credential is missing or still an example value.

Optional settings (defaults in brackets):

Google Colab

Colab Secrets named TELEGRAM_API_ID, TELEGRAM_API_HASH, TELEGRAM_BOT_TOKEN and TELEGRAM_CHANNEL_PEER are read automatically (enable notebook access for each). Run the migration inside the notebook so it can read the secrets (a !python ... command starts a separate process that cannot):

!pip install -q telegram-migration

from telegram_migration import Settings, run

settings = Settings.from_env(
    base_dir="/content/drive/MyDrive/ChatExport_2025-01-01",   # your export folder
    dry_run=True,                                                # preview first
)
run(settings)

When the preview looks right, run the cell again with dry_run=False.

The program mounts Google Drive automatically when the export directory is under /content/drive/ and Drive is not mounted yet.

Run safely

Dry-run is enabled by default. From the directory containing .env, run either command:

python -m telegram_migration

or, after installing the package:

telegram-migration

Both commands load .env from the current working directory by default. Use --env-file PATH only when the configuration file is elsewhere. Review the reported source file count, destination channel title/ID, and dry-run summary. No messages are sent in a dry run.

When you are satisfied with the preview, either set TELEGRAM_DRY_RUN=false in .env or pass --send:

python -m telegram_migration --send

The program asks you to confirm the target before sending; keep TELEGRAM_SKIP_CONFIRMATION=false (or omit --yes) so it does.

Command-line options override the environment (python -m telegram_migration --help lists them):

Use as a Python library

from telegram_migration import Settings, run

settings = Settings.from_env()      # TELEGRAM_* variables, .env file, Colab Secrets
run(settings)                       # or: run(dry_run=False)

Settings is a plain dataclass, so everything can also be given directly (Settings(api_id=..., base_dir=..., max_upload_mb=500)). run() works from scripts and notebooks; await telegram_migration.run_async(settings) is the coroutine version. Async runs scope settings to their task, so concurrent migrations do not overwrite each other's configuration. run_async() does not apply the nest_asyncio patch used by run() inside an already-running event loop. Importing the package reads no environment variables and performs no file I/O; credentials problems raise telegram_migration.ConfigError.

Telegram's message limit is 4096 UTF-16 units for every account, and media captions are limited to 1024 for a bot (2048 applies only to Premium user accounts, and a bot is not one). The defaults are text_limit=4096 and caption_limit=1024; you can lower them to split text into shorter parts. Settings.validate() rejects text_limit or caption_limit below 4, and text_limit above 4096 and caption_limit above 1024 (the actual ceiling for a bot).

Progress files and resuming

The script keeps its progress files inside the export directory. These include the ID map, partial-send state, pending replies, failure log, manual-upload list, formatting audit, and reply audit. Keep these files between runs if you want resumability. Do not commit them to a public repository: they can reveal private chat metadata.

If the program stops at a file larger than the configured upload ceiling, follow the printed manual-upload instructions before running the program again. The script can mark that source message to be skipped on the next run.

Project layout

The code is a small package instead of one long script:

Known limitations

• Service events are reconstructed as ordinary labelled text messages, not genuine Telegram service messages; the bot cannot create native join/leave/pin system events. HTML exports usually provide the date divider but not the exact service-event clock time.
• The destination messages are not identical to the original Telegram records. The destination bot is the technical sender; original sender names are bold archival labels and timestamps are italic archival labels unless a native forward is possible. Telegram's separate native history-import API is user-account-only and is not used by this bot-based project.
• The source HTML and media folder must contain the required data. A missing attachment cannot be recreated by this program.
• If Telegram rejects formatting entities, the script can fall back to plain text for that message; check migration_formatting_dropped.jsonl.
• Reaction archives are informational text notes, not native historical reactions. A bot may add its own single reaction to a message, but cannot recreate other users' original votes or historical counts.
• Native forwards may be unavailable for source messages whose origins are inaccessible; the program's configured forwarding fallback may use a textual header.
• Files above the upload limit (max_upload_mb) cause a clean stop and require manual handling. Files below the configured limit can still fail due to network, server, permissions, or media constraints.

Development checks

The repository includes an offline regression suite. The tests do not sign in to Telegram, contact Telegram servers, send messages, or require API credentials.

Run the tests from the repository root:

python -m pip install -r requirements.txt
python -m compileall -q telegram_migration
python -m unittest discover -s tests -v

The suite covers rich-text parsing and UTF-16 entity offsets, long-text chunking, export parsing, dates and replies, media classification, GIF/sticker upload options, upload-size checks, progress and ID-map persistence, manual-upload records, reaction metadata, settings and the command line, the module structure (no undefined names), and complete runs against a fake Telegram client: dry run, resume, deferred replies, formatting fallback, and the oversize stop. The fake clients cannot post to a real Telegram chat.

Security

• Never commit .env, bot tokens, API hashes, Telegram session files, exports, media, or migration state.
• If you have ever exposed a bot token, revoke it with BotFather and replace it before running the program.
• Treat API hashes and Telethon session files as private credentials.
• Avoid sharing migration logs publicly; they may contain source message IDs and message-specific error details.

License

GNU General Public License v3.0