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Translation status

897 Strings 97%
Browse Translate
9,387 Words 96%
66,353 Characters 95%

Strings status

Strings Words Characters
897 9,387 66,353
All strings Browse Translate Zen
879 9,063 63,639
Translated strings Browse Translate Zen
879 9,063 63,639
Strings waiting for review Browse Translate Zen
18 324 2,714
Unfinished strings Browse Translate Zen
9 294 2,507
Untranslated strings Browse Translate Zen
9 30 207
Strings marked for edit Browse Translate Zen
18 324 2,714
Unfinished strings without suggestions Browse Translate Zen
137 2,189 14,957
Strings with any failing checks Browse Translate Zen
136 2,187 14,947
Translated strings with any failing checks Browse Translate Zen
15 22 129
Failing check: Unchanged translation Browse Translate Zen
1 17 113
Failing check: Starting spaces Browse Translate Zen
6 34 266
Failing check: Trailing space Browse Translate Zen
1 12 214
Failing check: Double space Browse Translate Zen
105 1,607 10,330
Failing check: Mismatched full stop Browse Translate Zen
2 16 87
Failing check: Mismatched colon Browse Translate Zen
1 5 28
Failing check: Mismatched question mark Browse Translate Zen
3 13 60
Failing check: Mismatched exclamation mark Browse Translate Zen
1 7 45
Failing check: Mismatched semicolon Browse Translate Zen
3 397 3,036
Failing check: Mismatching line breaks Browse Translate Zen
1 11 59
Failing check: Zero-width space Browse Translate Zen
1 54 422
Failing check: XML syntax Browse Translate Zen
4 132 1,183
Failing check: XML markup Browse Translate Zen

Other components

Component Approved Translated Unfinished Unfinished words Unfinished characters Untranslated Checks Suggestions Comments
Official 0% 99% 4 227 1,789 3 160 0 0
Global i18n 0% 94% 32 385 2,469 1 89 0 0
Official Footer 0% 0 0 0 0 22 0 0
Official Navbar 0% 0 0 0 0 18 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.
  • Translations are reviewed by dedicated reviewers.
  • 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 update 更新 babeldoc glm 4.7 0d7efefe1
taoloading authored yesterday
Last commit in Weblate Translated using Weblate (Chinese (Traditional)) 3544c9bb2
User avatar wei83109 authored 6 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/zh-CN.json
Last change Jan. 30, 2026, 9:52 a.m.
Last author None
yesterday

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 897 9,387 66,353
Approved 0% 0 0% 0 0% 0
Waiting for review 97% 879 96% 9,063 95% 63,639
Translated 97% 879 96% 9,063 95% 63,639
Needs editing 1% 9 1% 30 1% 207
Read-only 0% 0 0% 0 0% 0
Failing checks 15% 137 23% 2,189 22% 14,957
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 1% 9 3% 294 3% 2,507
Last 12 months Previous

Activity in last 12 months

0 changes 0 changes 0 changes 0 changes 0 changes 626 changes 0 changes 0 changes 0 changes 186 changes 0 changes 81 changes 0 changes 63 changes 0 changes 39 changes 0 changes 72 changes 0 changes 29 changes 0 changes 71 changes 0 changes 52 changes
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Quick numbers

9,387
Hosted words
897
Hosted strings
97%
Translated
1
Contributors
and previous 30 days

Trends of last 30 days

+4%
Hosted words
+100%
+2%
Hosted strings
+100%
−1%
Translated
+98%
—
Contributors
+100%
User avatar None

Resource updated

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Simplified)
The “app/src/i18n/zh-CN.json” file was changed. yesterday
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Simplified)
GLM 4.7
智谱 4.67
yesterday
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Simplified)
We currently use a "translation quota" based billing method, detailed as follows:<br/><br/><ul><li>Translation quotas are charged based on the number of <b>Tokens</b> used during the translation process.</li><li>The <b>GLM-4-Flash-250414</b> 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)</li><li>The <b>Qwen-Plus/DeepSeek-V3.2/Doubao-1.5-pro/Kimi+Qwen/Kimi+DeepSeek/GLM-4.7</b> models are exclusively for <b>Pro/Max</b> members, counted towards the members' general translation quota. Pro members enjoy up to <b>20 million Tokens</b> per month, while Max members enjoy up to <b>50 million Tokens</b> per month. Failed translations are not counted towards the quota.</li></ul><br/>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.<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.
我们目前采用基于“翻译额度”的计费方式，具体说明如下：<br/><br/><ul><li>翻译额度按照翻译过程中使用的 <b> Token 数量 </b> 进行计费。</li><li><b> GLM-4-Flash-250414 </b> 模型所有用户可用，所有 BabelDOC 用户每月可获得 50 万 Token 额度，用来在 BabelDOC 中使用免费模型翻译文档。（实际可用性取决于上游供应商的供应情况，额度根据服务器负载动态调整）</li><li><b> Qwen-Plus/DeepSeek-V3.2/Doubao-1.5-pro/Kimi+Qwen/Kimi+DeepSeek/GLM-4.67 </b> 模型仅限 <b> Pro/Max </b> 会员使用，计入会员通用翻译额度，Pro 会员每月可享受 <b> 高达 2000 万 Token </b> 的翻译额度，Max 会员每月可享受 <b> 高达 5000 万 Token </b> 的翻译额度。失败的翻译不计入翻译额度。</li></ul><br/>在翻译任务启动时，系统将根据"3000 Token × 翻译页数"的计算方式预先扣除相应的通用翻译额度。待翻译完成后，我们将按实际消耗进行结算，多余额度将退还至您的账户，不足部分则需补充。若翻译过程中遇到任何系统错误，所有预扣的通用翻译额度将自动全额返还至您的账户。当不启用自动提取术语时，单页预扣 Token 数为 3000 Token/页。当启用自动提取术语功能时，单页预扣 Token 数为 6000 Token/页。<br/><br/>从实际使用统计来看，启用自动术语提取时，平均每页约消耗 7381.56 Token，其中 P25–P75 区间为 4215.42–9490.89 Token；关闭自动术语提取时，平均每页约消耗 4702.98 Token，P25–P75 区间为 2642.38–5797.40 Token。其中，P25（第 25 百分位）表示有 25% 的页面 Token 消耗低于该值，P75（第 75 百分位）表示有 75% 的页面 Token 消耗低于该值，P25–P75 区间可用于描述大多数页面的常见消耗范围，从而减少极端样本对整体评估的干扰。
yesterday
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Simplified)
We currently use a "translation quota" based billing method, detailed as follows:<br/><br/><ul><li>Translation quotas are charged based on the number of <b>Tokens</b> used during the translation process.</li><li>The <b>GLM-4-Flash-250414</b> 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)</li><li>Models such as <b>Qwen-Plus/DeepSeek-V3.2/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek/GLM-4.7</b> are exclusively for <b>Pro/Max</b> members, counted towards the members' general translation quota. Pro members enjoy up to <b>20 million Tokens</b> per month, while Max members can enjoy up to <b>50 million Tokens</b> per month. Failed translations are not counted towards the translation quota.</li></ul><br/>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.
我们目前采用基于“翻译额度”的计费方式，具体说明如下：<br/><br/><ul><li>翻译额度按照翻译过程中使用的 <b> Token 数量 </b> 进行计费。</li><li><b> GLM-4-Flash-250414 </b> 模型所有用户可用，所有 BabelDOC 用户每月可获得 50 万 Token 额度，用来在 BabelDOC 中使用免费模型翻译文档。（实际可用性取决于上游供应商的供应情况，额度根据服务器负载动态调整）</li><li><b> Qwen-Plus/DeepSeek-V3.2/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek/GLM-4.67 </b> 模型仅限 <b> Pro/Max </b> 会员使用，计入会员通用翻译额度，Pro 会员每月可享受 <b> 高达 2000 万 Token </b> 的翻译额度，Max 会员每月可享受 <b> 高达 5000 万 Token </b> 的翻译额度。失败的翻译不计入翻译额度。</li></ul><br/>在翻译任务启动时，系统将根据"3000 Token × 翻译页数"的计算方式预先扣除相应的通用翻译额度。待翻译完成后，我们将按实际消耗进行结算，多余额度将退还至您的账户，不足部分则需补充。若翻译过程中遇到任何系统错误，所有预扣的通用翻译额度将自动全额返还至您的账户。当不启用自动提取术语时，单页预扣 Token 数为 3000 Token/页。当启用自动提取术语功能时，单页预扣 Token 数为 6000 Token/页。<br/><br/>从实际使用统计来看，启用自动术语提取时，平均每页约消耗 7381.56 Token，其中 P25–P75 区间为 4215.42–9490.89 Token；关闭自动术语提取时，平均每页约消耗 4702.98 Token，P25–P75 区间为 2642.38–5797.40 Token。其中，P25（第 25 百分位）表示有 25% 的页面 Token 消耗低于该值，P75（第 75 百分位）表示有 75% 的页面 Token 消耗低于该值，P25–P75 区间可用于描述大多数页面的常见消耗范围，从而减少极端样本对整体评估的干扰。
yesterday
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Simplified)
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/GLM-4.7 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.
所有用户目前均可使用 GLM-4-Flash-250414 模型进行翻译，而 Pro 用户还可额外选择使用 Qwen-Plus/DeepSeek-V3.2/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek/GLM-4.67 模型（以实际可选模型为准）进行翻译。<br/><br/>经过对比我们发现 Kimi-K2-0905 提取术语效果较好，因此推出“Kimi + Qwen”和“Kimi + DeepSeek”翻译服务：<br/><br/>若选择“Kimi + Qwen”翻译服务，且启用自动术语提取，则会使用 Kimi-K2-0905 提取术语，并使用 Qwen-Plus 完成文本翻译。相关消耗均会计入 Qwen 消耗。（限时测试）<br/><br/>若选择“Kimi + DeepSeek”翻译服务，且启用自动术语提取，则会使用 Kimi-K2-0905 提取术语，并使用 DeepSeek-V3.2 完成文本翻译。相关消耗均会计入 DeepSeek 消耗。（限时测试）<br/><br/>由于 BabelDOC 采用后端翻译架构，所有翻译逻辑均在服务器端执行，与插件所使用的翻译引擎相互独立。因此，BabelDOC 可选用的翻译引擎范围与沉浸式翻译插件存在差异，BabelDOC 仅支持部分高级翻译模型，并非所有高级模型均可使用。
yesterday
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Simplified)
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.
所有用户目前均可使用 GLM-4-Flash-250414 模型进行翻译，而 Pro 用户还可额外选择使用 Qwen-Plus/DeepSeek-V3.2/Doubao-1.5-pro/Kimi+Qwen/Kimi+DeepSeek/GLM-4.67 模型（以实际可选模型为准）进行翻译。<br/><br/>经过对比我们发现 Kimi-K2-0905 提取术语效果较好，因此推出“Kimi + Qwen”和“Kimi + DeepSeek”翻译服务：<br/><br/>若选择“Kimi + Qwen”翻译服务，且启用自动术语提取，则会使用 Kimi-K2-0905 提取术语，并使用 Qwen-Plus 完成文本翻译。相关消耗均会计入 Qwen 消耗。（限时测试）<br/><br/>若选择“Kimi + DeepSeek”翻译服务，且启用自动术语提取，则会使用 Kimi-K2-0905 提取术语，并使用 DeepSeek-V3.2 完成文本翻译。相关消耗均会计入 DeepSeek 消耗。（限时测试）<br/><br/>由于 BabelDOC 采用后端翻译架构，所有翻译逻辑均在服务器端执行，与插件所使用的翻译引擎相互独立。因此，BabelDOC 可选用的翻译引擎范围与沉浸式翻译插件存在差异，BabelDOC 仅支持部分高级翻译模型，并非所有高级模型均可使用。
yesterday
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Simplified)
GLM 4.7
智谱 4.67
yesterday
User avatar None

Resource updated

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

String added in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Simplified)
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2 days ago
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String added in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Simplified)
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