The translation is temporarily closed for contributions due to maintenance, please come back later.
The translation was automatically locked due to following alerts: Could not push the repository.

Source strings

885 Strings 100%
Browse Translate
9,171 Words 100%
64,682 Characters 100%
This translation is being used as source strings within this component.

Strings status

Strings Words Characters
885 9,171 64,682
All strings Browse Translate Zen
885 9,171 64,682
Translated strings Browse Translate Zen
222 3,753 26,325
Strings with any failing checks Browse Translate Zen
18 100 1,056
Failing check: Ellipsis Browse Translate Zen
203 3,667 25,332
Failing check: Multiple failing checks Browse Translate Zen
5 19 162
Failing check: Long untranslated Browse Translate Zen

Other components

Component Approved Translated Unfinished Unfinished words Unfinished characters Untranslated Checks Suggestions Comments
Official 0% 0 0 0 0 238 0 0
Global i18n 0% 0 0 0 0 187 0 0
Official Footer 0% 0 0 0 0 23 0 0
Official Navbar 0% 0 0 0 0 35 0 0
Browse all components

Overview

Project website app.immersivetranslate.com
Instructions for translators

Immersive Translate Document Translation
Project maintainers User avatar theowenyoung User avatar zhoulink90 User avatar marshmolly2b
Translation process
  • Translations can be made directly.
  • Translation suggestions can be made.
  • Any authenticated user can contribute.
  • The translation uses monolingual files.
  • The translation base language is editable.
Source code repository git@github.com:immersive-translate/site.git
Repository branch main
Last remote commit Merge pull request #1261 from immersive-translate/feat/webapp 5989b7a9d
liruifengv authored 2 hours ago
Last commit in Weblate Translated using Weblate (Chinese (Traditional)) cc7301ee3
User avatar wei83109 authored 4 months ago
Weblate repository https://weblate.immersivetranslate.com/git/immersive-document-translation/immersive-translate-site/
File mask app/src/i18n/*.json
Monolingual base language file app/src/i18n/en.json
Translation file Download app/src/i18n/en.json
Last change Dec. 16, 2025, 8:12 a.m.
Last author None
5 hours ago

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 885 9,171 64,682
Translated 100% 885 100% 9,171 100% 64,682
Needs editing 0% 0 0% 0 0% 0
Read-only 0% 0 0% 0 0% 0
Failing checks 25% 222 40% 3,753 40% 26,325
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 0% 0 0% 0 0% 0
Last 12 months Previous

Activity in last 12 months

0 changes 0 changes 0 changes 0 changes 0 changes 0 changes 0 changes 2,012 changes 0 changes 0 changes 0 changes 178 changes 0 changes 67 changes 467 changes 48 changes 12 changes 33 changes 9 changes 62 changes 3 changes 26 changes 0 changes 57 changes
Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov

Quick numbers

9,168
Hosted words
884
Hosted strings
100%
Translated
1
Contributors
and previous 30 days

Trends of last 30 days

+14%
Hosted words
+100%
+3%
Hosted strings
+100%
—
Translated
+100%
—
Contributors
+100%
User avatar None

Resource updated

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. English
The “app/src/i18n/en.json” file was changed. 5 hours ago
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. English
We currently use a "translation quota" based billing method, detailed as follows:

- Translation quotas are charged based on the number of Tokens used during the translation process.
- The GLM-4-Flash-250414 model is available to all users, and every BabelDOC user receives a monthly quota of 500,000 Tokens for free model translations within BabelDOC. (Actual availability depends on the supply from upstream providers, and quotas are dynamically adjusted based on server load)
- The Qwen-Plus/DeepSeek-V3.2/Doubao-1.5-pro/Kimi+Qwen/Kimi+DeepSeek models are exclusively for Pro/Max members, counted towards the members' general translation quota. Pro members enjoy up to 20 million Tokens per month, while Max members enjoy up to 50 million Tokens per month. Failed translations are not counted towards the quota.

At the start of a translation task, the system will deduct the general translation quota in advance based on "3000 Tokens × number of pages". Once the translation is complete, we will settle based on actual consumption, refunding any excess to your account or requesting additional tokens if there is a shortfall. If any system errors occur during the translation, all pre-deducted general translation quotas will be fully refunded to your account. When the automatic term extraction feature is not enabled, the pre-deduction per page is 3000 Tokens/page. When the automatic term extraction feature is enabled, the pre-deduction per page is 6000 Tokens/page.
We currently use a "translation quota" based billing method, detailed as follows:

- Translation quotas are charged based on the number of Tokens used during the translation process.
- The GLM-4-Flash-250414 model is available to all users, and every BabelDOC user receives a monthly quota of 500,000 Tokens for free model translations within BabelDOC. (Actual availability depends on the supply from upstream providers, and quotas are dynamically adjusted based on server load)
- The Qwen-Plus/DeepSeek-V3-0324.2/Doubao-1.5-pro/Kimi+Qwen/Kimi+DeepSeek models are exclusively for Pro/Max members, counted towards the members' general translation quota. Pro members enjoy up to 20 million Tokens per month, while Max members enjoy up to 50 million Tokens per month. Failed translations are not counted towards the quota.

At the start of a translation task, the system will deduct the general translation quota in advance based on "3000 Tokens × number of pages". Once the translation is complete, we will settle based on actual consumption, refunding any excess to your account or requesting additional tokens if there is a shortfall. If any system errors occur during the translation, all pre-deducted general translation quotas will be fully refunded to your account. When the automatic term extraction feature is not enabled, the pre-deduction per page is 3000 Tokens/page. When the automatic term extraction feature is enabled, the pre-deduction per page is 6000 Tokens/page.
5 hours ago
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. English
We currently use a "translation quota" based billing method, detailed as follows:

- Translation quotas are charged based on the number of Tokens used during the translation process.
- The GLM-4-Flash-250414 model is available to all users, and every BabelDOC user receives a monthly quota of 500,000 Tokens for free model translations within BabelDOC. (Actual availability depends on the supply from upstream suppliers, and quotas are dynamically adjusted based on server load)
- Models such as Qwen-Plus/DeepSeek-V3.2/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek are exclusively for Pro/Max members, counted towards the members' general translation quota. Pro members enjoy up to 20 million Tokens per month, while Max members can enjoy up to 50 million Tokens per month. Failed translations are not counted towards the translation quota.

At the start of a translation task, the system will deduct the general translation quota in advance based on the calculation of "3000 Tokens × number of pages". Once the translation is complete, we will settle based on actual consumption, refunding any excess to your account, or requiring additional if insufficient. If any system errors occur during the translation, all deducted general translation quotas will be fully refunded to your account. When the automatic term extraction feature is not enabled, the deduction per page is 3000 Tokens/page. When the automatic term extraction feature is enabled, the deduction per page is 6000 Tokens/page.<br/><br/>From actual usage statistics, when automatic term extraction is enabled, the average consumption is about 7381.56 Tokens per page, with the P25–P75 range being 4215.42–9490.89 Tokens; when automatic term extraction is disabled, the average consumption is about 4702.98 Tokens per page, with the P25–P75 range being 2642.38–5797.40 Tokens. Here, P25 (the 25th percentile) indicates that 25% of the pages consume fewer Tokens than this value, and P75 (the 75th percentile) indicates that 75% of the pages consume fewer Tokens than this value. The P25–P75 range is used to describe the common consumption range for most pages, thereby reducing the impact of extreme samples on the overall assessment.
We currently use a "translation quota" based billing method, detailed as follows:

- Translation quotas are charged based on the number of Tokens used during the translation process.
- The GLM-4-Flash-250414 model is available to all users, and every BabelDOC user receives a monthly quota of 500,000 Tokens for free model translations within BabelDOC. (Actual availability depends on the supply from upstream suppliers, and quotas are dynamically adjusted based on server load)
- Models such as Qwen-Plus/DeepSeek-V3-0324.2/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek are exclusively for Pro/Max members, counted towards the members' general translation quota. Pro members enjoy up to 20 million Tokens per month, while Max members can enjoy up to 50 million Tokens per month. Failed translations are not counted towards the translation quota.

At the start of a translation task, the system will deduct the general translation quota in advance based on the calculation of "3000 Tokens × number of pages". Once the translation is complete, we will settle based on actual consumption, refunding any excess to your account, or requiring additional if insufficient. If any system errors occur during the translation, all deducted general translation quotas will be fully refunded to your account. When the automatic term extraction feature is not enabled, the deduction per page is 3000 Tokens/page. When the automatic term extraction feature is enabled, the deduction per page is 6000 Tokens/page.<br/><br/>From actual usage statistics, when automatic term extraction is enabled, the average consumption is about 7381.56 Tokens per page, with the P25–P75 range being 4215.42–9490.89 Tokens; when automatic term extraction is disabled, the average consumption is about 4702.98 Tokens per page, with the P25–P75 range being 2642.38–5797.40 Tokens. Here, P25 (the 25th percentile) indicates that 25% of the pages consume fewer Tokens than this value, and P75 (the 75th percentile) indicates that 75% of the pages consume fewer Tokens than this value. The P25–P75 range is used to describe the common consumption range for most pages, thereby reducing the impact of extreme samples on the overall assessment.
5 hours ago
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. English
All users currently have access to the GLM-4-Flash-250414 model for translation, while Pro users can also choose to use the Qwen-Plus/DeepSeek-V3.2/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek models for translation, subject to actual availability.

After comparison, we found that Kimi-K2-0905 is effective in extracting terminology, hence we are introducing the "Kimi + Qwen" and "Kimi + DeepSeek" translation services:

If you choose the "Kimi + Qwen" translation service and enable automatic terminology extraction, Kimi-K2-0905 will be used to extract terminology, and Qwen-Plus will be used to complete the text translation. All related consumption will be counted towards Qwen usage. (Limited time test)

If you choose the "Kimi + DeepSeek" translation service and enable automatic terminology extraction, Kimi-K2-0905 will be used to extract terminology, and DeepSeek-V3.2 will be used to complete the text translation. All related consumption will be counted towards DeepSeek usage. (Limited time test)

Since BabelDOC uses a backend translation architecture, all translation logic is executed on the server side, independent of the translation engine used by the plugin. Therefore, the range of translation engines available for BabelDOC differs from those available for immersive translation plugins, and BabelDOC only supports certain advanced translation models, not all advanced models are available.
All users currently have access to the GLM-4-Flash-250414 model for translation, while Pro users can also choose to use the Qwen-Plus/DeepSeek-V3-0324.2/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek models for translation, subject to actual availability.

After comparison, we found that Kimi-K2-0905 is effective in extracting terminology, hence we are introducing the "Kimi + Qwen" and "Kimi + DeepSeek" translation services:

If you choose the "Kimi + Qwen" translation service and enable automatic terminology extraction, Kimi-K2-0905 will be used to extract terminology, and Qwen-Plus will be used to complete the text translation. All related consumption will be counted towards Qwen usage. (Limited time test)

If you choose the "Kimi + DeepSeek" translation service and enable automatic terminology extraction, Kimi-K2-0905 will be used to extract terminology, and DeepSeek-V3-0324.2 will be used to complete the text translation. All related consumption will be counted towards DeepSeek usage. (Limited time test)

Since BabelDOC uses a backend translation architecture, all translation logic is executed on the server side, independent of the translation engine used by the plugin. Therefore, the range of translation engines available for BabelDOC differs from those available for immersive translation plugins, and BabelDOC only supports certain advanced translation models, not all advanced models are available.
5 hours ago
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. English
All users can currently use the GLM-4-Flash-250414 model for translation free of charge, while Pro users can also choose to use the Qwen-Plus/DeepSeek-V3.2/Doubao-1.5-pro models for translation.
All users can currently use the GLM-4-Flash-250414 model for translation free of charge, while Pro users can also choose to use the Qwen-Plus/DeepSeek-V3-0324.2/Doubao-1.5-pro models for translation.
5 hours ago
User avatar None

Resource updated

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. English
The “app/src/i18n/en.json” file was changed. 7 hours ago
User avatar None

String added in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. English
Try New Version
Try New Version
7 hours ago
User avatar None

Resource updated

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. English
The “app/src/i18n/en.json” file was changed. 4 days ago
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. English
We currently use a "translation quota" based billing method, detailed as follows:

- Translation quotas are charged based on the number of Tokens used during the translation process.
- The GLM-4-Flash-250414 model is available to all users, and every BabelDOC user receives a monthly quota of 500,000 Tokens for free model translations within BabelDOC. (Actual availability depends on the supply from upstream suppliers, and quotas are dynamically adjusted based on server load)
- Models such as Qwen-Plus/DeepSeek-V3-0324/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek are exclusively for Pro/Max members, counted towards the members' general translation quota. Pro members enjoy up to 20 million Tokens per month, while Max members can enjoy up to 50 million Tokens per month. Failed translations are not counted towards the translation quota.

At the start of a translation task, the system will deduct the general translation quota in advance based on the calculation of "3000 Tokens × number of pages". Once the translation is complete, we will settle based on actual consumption, refunding any excess to your account, or requiring additional if insufficient. If any system errors occur during the translation, all deducted general translation quotas will be fully refunded to your account. When the automatic term extraction feature is not enabled, the deduction per page is 3000 Tokens/page. When the automatic term extraction feature is enabled, the deduction per page is 6000 Tokens/page.<br/><br/>From actual usage statistics, when automatic term extraction is enabled, the average consumption is about 7381.56 Tokens per page, with the P25–P75 range being 4215.42–9490.89 Tokens; when automatic term extraction is disabled, the average consumption is about 4702.98 Tokens per page, with the P25–P75 range being 2642.38–5797.40 Tokens. Here, P25 (the 25th percentile) indicates that 25% of the pages consume fewer Tokens than this value, and P75 (the 75th percentile) indicates that 75% of the pages consume fewer Tokens than this value. The P25–P75 range is used to describe the common consumption range for most pages, thereby reducing the impact of extreme samples on the overall assessment.
We currently use a "translation quota" based billing method, detailed as follows:

- Translation quotas are charged based on the number of Tokens used during the translation process.
- The GLM-4-Flash-250414 model is available to all users, and every BabelDOC user receives a monthly quota of 500,000 Tokens for free model translations within BabelDOC. (Actual availability depends on the supply from upstream suppliers, and quotas are dynamically adjusted based on server load)
- Models such as Qwen-Plus/DeepSeek-V3-0324/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek are exclusively for Pro/Max members, counted towards the members' general translation quota. Pro members enjoy up to 20 million Tokens per month, while Max members can enjoy up to 50 million Tokens per month. Failed translations are not counted towards the translation quota.

At the start of a translation task, the system will deduct the general translation quota in advance based on the calculation of "3000 Tokens × number of pages". Once the translation is complete, we will settle based on actual consumption, refunding any excess to your account, or requiring additional if insufficient. If any system errors occur during the translation, all deducted general translation quotas will be fully refunded to your account. When the automatic term extraction feature is not enabled, the deduction per page is 3000 Tokens/page. When the automatic term extraction feature is enabled, the deduction per page is 6000 Tokens/page.<br/><br/>From actual usage statistics, when automatic term extraction is enabled, the average consumption is about 7381.56 Tokens per page, with the P25–P75 range being 4215.42–9490.89 Tokens; when automatic term extraction is disabled, the average consumption is about 4702.98 Tokens per page, with the P25–P75 range being 2642.38–5797.40 Tokens. Here, P25 (the 25th percentile) indicates that 25% of the pages consume fewer Tokens than this value, and P75 (the 75th percentile) indicates that 75% of the pages consume fewer Tokens than this value. The P25–P75 range is used to describe the common consumption range for most pages, thereby reducing the impact of extreme samples on the overall assessment.
4 days ago
User avatar None

Resource updated

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. English
The “app/src/i18n/en.json” file was changed. 4 days ago
Browse all translation changes