Complete tutorial on TGStaff automatic translation: two-way multi-language customer service workflow and package quota planning

#TGStaff Complete tutorial on automatic translation: two-way multi-language customer service workflow and package quota planning

When cross-border teams do customer service on Telegram, the most common bottleneck they encounter is not the response speed, but the language. The agent may only be good at Chinese and English, but the users are from Japan, Spain, and the Middle East. Every time they receive a message in a non-native language, they have to copy and paste it into Google Translate or DeepL. Cutting back and forth not only interrupts the train of thought, but also easily misses the message. TGStaff automatic translation solves this pain point: when agents send and receive messages in the web console, the system automatically completes two-way translation without leaving the session window or installing any plug-ins.

This article will fully explain how to use TGStaff to build a multilingual customer service system, from translation engine selection, configuration steps, actual workflow to quota planning.

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Why do cross-border teams need TGStaff automatic translation?

Imagine a typical scenario: your Telegram Bot serves English, Japanese, and Spanish users at the same time. Agent A’s native language is Chinese and her English is acceptable, but she doesn’t understand Japanese or Spanish. In the past, he needed to do this:

1. Receive a Japanese message → Copy to Google Translate → Paste it back to read.
2. Write a reply in Chinese or English → copy it to the translation tool → paste it back into the chat box and send it.

Each session takes at least 30 seconds longer, and it’s easy to copy the wrong line or forget to switch languages. Even worse, if an agent is handling 5 sessions simultaneously, these fragmented times can quickly add up, resulting in delayed responses.

The core concept of TGStaff automatic translation is “Agents always work in their own language, and users always receive their own language”. The system automatically translates user messages into the agent’s default language on the agent side. After the agent replies in the default language, the system automatically translates them into the user’s language and sends them. During the entire process, agents do not need to manually copy, paste, or switch tools, and the improvement in customer service efficiency is immediate.

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What translation engines and packages does TGStaff automatic translation support?

TGStaff provides different translation engines and daily quotas according to packages, as follows (prices are subject to the official website package page):

Package	Translation engine	Daily quota	Applicable scenarios
Standard version	AI translation	Configuration by package	Small team, average daily conversation volume < 50, mainly Chinese and English
Professional Edition	AI Translation + Google Professional Translation + DeepL Professional Translation	Higher quota (unlimited/nearly unlimited)	Medium and large teams, high-frequency multi-language, requiring professional translation quality

Standard Edition: Your Choice for Getting Started with AI Translation

The built-in AI translation engine of the standard version can cover most common scenarios. For small teams, if users mainly use common languages ​​such as English, Chinese, Japanese, and Korean, the accuracy of AI translation is sufficient for daily customer service communication. The quota of the Standard Edition is suitable for teams with an average of 30-80 sessions per day. Please log in to the console to view the specific quota figures.

Professional version: multi-engine + high quota covering heavy translation needs

The Pro version unlocks Google Professional Translation and DeepL Professional Translation. These two engines have higher accuracy on specific language pairs (such as Japanese → Chinese, German → English) and support a richer term base (DeepL Glossary). The translation quota of the professional version has been greatly increased, making it suitable for teams that handle 100+ conversations per day and have users covering more than 5 languages. In addition, the professional version also includes advanced functions such as content risk control (internal control management) and user portraits, of which translation is only one part.

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Three steps to configure TGStaff two-way automatic translation for sending and receiving

The configuration process is very intuitive and requires no coding. Please make sure you are logged into the TGStaff Console and have created or own a Bot project.

Step one: Enter project settings → Translation configuration

Find “Project Settings” in the left navigation bar, click the name of the target Bot project, and then enter the “Translation Configuration” tab.

Step 2: Select the agent’s default receiving/sending language

• Agent Receiving Language: The language into which user messages will be automatically translated and displayed to the agent. For example, if “Chinese” is selected, Japanese and English messages sent by users will be displayed in Chinese on the agent side.
• Agent sending language: When the agent replies, the system will automatically translate it into which language and send it to the user. Usually set to “Automatically detect user language” - the system will automatically select the target language based on the language in which the user last sent a message. You can also manually specify a language (such as “English”) so that all responses are translated into English.

Step 3: Save and take effect

Click “Save Configuration” and the automatic translation will take effect immediately. Agents do not need to log in again, and the translation is automatically applied during the next session.

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Actual workflow: How do agents use automatic translation to handle multilingual conversations?

After the configuration is completed, the agent’s workflow will become like this:

1. Access three sessions simultaneously: User A (English), User B (Japanese), User C (Spanish).
2. Agent display: All messages are automatically translated into Chinese (taking the agent receiving language as an example). Agents see fluent Chinese and can quickly understand user intentions.
3. Agent Reply: Enter the reply content in Chinese, and the system will automatically translate the Chinese into the corresponding user’s native language and send it.
4. Client display: English users will see English replies, Japanese users will see Japanese replies, and Spanish users will see Spanish replies.

Combined with TGStaff’s Session Diversion and User Tag functions, the effect is even better:

• Guide users from different channels to the Bot through diversion links (magic links), and automatically label them with labels such as “Facebook_Advertising” and “Official Website_Consultation”.
• Agents can still see the original user tags in the translated conversation and quickly determine the user’s background.
• If a user needs to be transferred to a more professional agent, directly use the session transfer function, and the translation configuration will be transferred along with the session.

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Package translation quota planning: to avoid translation overruns from affecting business

Translation quotas are reset based on the subscription period (30/90/180/360 days), and unused quotas do not accumulate. This means that if the team experiences a surge in translation volume in a given month, the quota may be exhausted early. Here’s a simple estimate:

Estimation formula of average daily translation volume:

Average daily conversation volume × Average number of messages per conversation (total of both parties) × Multilingual coefficient

• Multi-language coefficient: If the main translation is Chinese and English, the coefficient is about 1.0; if it involves languages with large character sets such as Japanese, Korean, and Arabic, the coefficient is recommended to be 1.2–1.5 (because some translation engines are billed by characters).
• Example: average 100 conversations per day, average 20 messages per conversation (user + agent), mainly Chinese and English → 100 × 20 × 1.0 = 2000 translations/day.

Package recommendation:

Team size	Average daily translation volume	Recommended packages
Small (2-3 seats)	< 500 items/day	Standard version
Medium size (5-10 seats)	500-2000 items/day	Professional version
Large (10+ seats, multi-language)	> 2000 items/day	Professional version (high cycle package)

How to check the current translation quota usage?

On the “My Subscription” page of the console, you can see the translation quota usage progress bar of the current package. It is recommended that team administrators check this once a week, especially at the beginning of the month or during event promotion periods.

What to do when the translation quota is insufficient

If the quota is about to be exhausted, there are three ways to deal with it:

1. Upgrade Package: Change to the Professional Edition or a higher-cycle package in “My Subscription” to get more quota immediately.
2. Waiting for reset: If there are only 1-2 days left before entering a new cycle, you can temporarily limit the translation of non-critical sessions, or let agents manually use third-party tools for emergency response.
3. Contact customer service: Use @tgstaff_robot to inquire whether there is a temporary quota adjustment plan.

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TGStaff automatic translation vs third-party translation tools: why choose the built-in solution?

Many teams will initially use free solutions: browser translation plug-ins, Google Translate web versions, and even AI chat tools. However, after long-term use, you will find the following problems:

Comparison dimensions	TGStaff automatic translation	Third-party translation tools
Switching cost	Zero switching, done within the console	Requires copy and paste to another window/app
Context preservation	The translated message is on the same interface as the original conversation	The context is easy to lose, and key information may be missed when copying
Multi-engine support	Standard version AI + Professional version Google/DeepL	Can only use one engine, or switch manually
Team collaboration	Agent translation configuration is managed in a unified manner and can be audited	Each agent is used independently and cannot be uniformly controlled
Compliance	The professional version supports content risk control and can monitor translation content	Without internal control, agents may send sensitive information by mistake or in violation of regulations

For B2B customer service scenarios, reducing operation steps and maintaining session context are the keys to improving efficiency. TGStaff’s built-in solution upgrades translation from an “auxiliary tool” to a “part of the workflow”, allowing agents to focus more on solving problems rather than switching between tools.

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FAQ

Question: How many languages does TGStaff automatic translation support?

Answer: Supports 100+ languages, covering mainstream languages ​​(Chinese, English, Japanese, Korean, Spanish, French, German, Arabic, etc.) and some niche languages. The specific language list can be viewed on the console translation configuration page. The AI ​​translation engine has higher accuracy for common language pairs, and the professional version of DeepL and Google Translate perform better on specific language pairs.

Question: Will automatic translation affect the message display on the client?

Answer: No. The client always sees the translated content sent by the agent. The original text of the message sent by the user remains unchanged, and the translated version seen by the agent is only used to assist understanding. The user will not perceive that the agent has used the translation function.

Question: After the translation quota is used up, can customer service still respond normally?

Answer: Yes. After the translation quota is used up, the automatic translation function is suspended, but agents can still reply manually. At this time, the agent displays the message in the user’s original language, and the agent needs to translate it before replying. It is recommended to upgrade the package in advance before the quota is exhausted to avoid affecting the user experience.

Q: Can the Pro version use AI Translation and Google Translate at the same time?

Answer: Yes. The professional version supports selecting the default engine (AI/Google/DeepL) in the translation configuration, and also supports specifying engines separately for different projects or agents. For example, one project could use Google Translate to handle Japanese conversation, and another project uses DeepL to handle German conversation. Quotas for all engines share the total Pro quota.

Question: How to set different translation languages ​​for different agents?

Answer: On the “Agent Management” page, you can configure the receiving language and sending language independently for each agent. For example, Agent A’s receiving language is set to Chinese, and Agent B’s receiving language is set to English. The agent’s personal configuration will override the project-level default configuration. Suitable for multi-lingual agent teams to customize on demand.

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Start building your multi-lingual customer service system now

TGStaff automatic translation reduces the threshold for multi-lingual customer service to the lowest level - no additional tools are required, no need to know the translation API, and the configuration can take effect in 3 minutes. For cross-border teams, overseas SaaS, and Web3 projects, this is a cost-effective choice to improve user satisfaction and agent efficiency.

• Free 3-day trial: Register now for TGStaff Console to experience full translation capabilities.
• View full documentation: Visit docs.tg-staff.com for detailed instructions on translation configuration, quota management, engine switching, etc.
• Contact Customer Service: If you have any configuration questions, please contact @tgstaff_robot directly. Consultation in Chinese and English is supported.

Don’t let language become a bottleneck to your customer service growth. Configure TGStaff automatic translation now to let agents work in their native language and users communicate in their native language.