Subtitle Maker — Your Audience Speaks Forty Languages. Your Video Speaks One. This Tool Bridges the Gap in Three Minutes.
You finished recording. The content is strong — forty minutes of conversation, insight, and expertise captured in crisp audio. Now the real work begins: making it accessible. The viewer in Osaka skips any video without Japanese subtitles. The commuter in Madrid watches on mute during the train ride and needs Spanish captions to follow along. The hearing-impaired viewer in London depends on accurate English subtitles synchronized to every syllable. Each of these viewers represents a segment of your audience that disappears the moment subtitles are absent or poorly timed.
Traditional subtitle creation is a manual grind. A professional subtitler charges $1-3 per minute of video per language. A forty-minute podcast episode in five languages costs $200-600 and takes three to five business days. The freelancer on Fiverr delivers faster but the timing drifts, the translations miss cultural nuance, and the revision cycle adds another two days. By the time the subtitles arrive, the content has lost its timeliness. Subtitle Maker collapses this entire workflow into a single API call: upload the video, specify the languages, receive frame-accurate subtitles styled and timed for immediate use.
Use Cases
- 1. Podcast Global Distribution — One Recording, Fifty Languages (per episode) — Podcast video is the fastest-growing content format, and non-English audiences are the fastest-growing listener base. Subtitle Maker: transcribes the spoken conversation with speaker identification (differentiating host from guest), segments the transcript into subtitle blocks that respect sentence boundaries and natural pauses, translates each block into the target languages while preserving the conversational tone, synchronizes every subtitle to the audio waveform at word-level precision, and exports SRT files per language or burns the subtitles directly into separate video renders. The podcaster publishes one recording to YouTube with selectable subtitle tracks in twelve languages, tripling the addressable audience without recording a single additional word.
- 2. Corporate Training Across Offices — Compliance in Every Local Language (per module) — Multinational companies produce training videos at headquarters and distribute to offices worldwide. Subtitle Maker: ingests the training module (typically 15-30 minutes of a presenter with slides), transcribes the narration including technical terminology specific to the industry, translates into the required office languages (often 8-15 languages for global companies), formats the subtitles to avoid overlapping with on-screen text and slide content, and delivers the files in the format required by the LMS (Learning Management System). The compliance team that previously spent $2,000 and two weeks per module across ten languages now completes the same work in one afternoon.
- 3. YouTube Creator Expansion — Breaking the Language Ceiling (per channel) — YouTube channels plateau when they exhaust their native-language audience. Subtitle Maker: analyzes the channel's viewer geography to identify the highest-opportunity languages, transcribes the existing video library, translates and times subtitles for the priority languages, and generates the SRT files that YouTube accepts for its built-in subtitle selector. The creator uploads subtitle files alongside each new video, and the YouTube algorithm begins recommending the content to viewers who have set those languages as preferences. Channels that add subtitles in their top five viewer languages consistently report 20-40% audience growth within three months.
- 4. Documentary and Film Post-Production — Festival-Ready Multilingual Delivery (per project) — Film festivals require specific subtitle formats, timing standards, and translation quality. Subtitle Maker: handles the technical specifications (maximum characters per line, minimum display duration, reading speed calculation based on character count), applies professional subtitle formatting (two lines maximum, centered or left-aligned per convention, proper handling of italics for off-screen speech), and delivers the final files in the festival-required format (SRT, VTT, STL, or embedded burn-in). The independent filmmaker who cannot afford a $3,000 professional subtitle house gets festival-grade subtitle delivery at a fraction of the cost and timeline.
- 5. Social Media Repurposing — Silent-Scroll Captions for Every Platform (per format) — Eighty-five percent of social media video is watched without sound. Subtitle Maker: reformats long-form subtitles into the large, bold, center-screen caption style that social platforms demand, adjusts the timing for short attention spans (shorter display durations, faster transitions), applies platform-specific safe zones (avoiding the TikTok username area, the Instagram action buttons, the YouTube end-screen zone), and exports in the vertical 9:16 ratio with captions burned into the video. The content team that repurposes a single long-form video into ten platform-specific clips gets correctly captioned versions for every destination without manual adjustment.
How It Works
Step 1 — Upload Your Video
Any format, any length. The audio track is extracted and processed regardless of video codec.
Step 2 — Select Target Languages
Choose from 50+ supported languages. The AI adapts translation style to the content type — conversational for vlogs, formal for corporate, precise for technical.
Step 3 — Generate
CODEBLOCK0
Step 4 — Review and Publish
Download the SRT files, spot-check the translations in languages you know, and upload to your video platform. The burned-in version is ready for direct publishing.
Parameters
| Parameter | Type | Required | Description |
|---|
| INLINECODE0 | string | ✅ | Subtitle requirements and context |
| INLINECODE1 |
array | | Target language codes |
|
output_formats | array | | srt, vtt, stl, burned-mp4 |
|
caption_style | string | | conversational, formal, technical |
Output Example
CODEBLOCK1
Tips
- 1. Provide context in the prompt — Mentioning the topic, speaker accents, and jargon domain improves transcription accuracy by 15-20%. "A podcast about machine learning" produces better results than "a podcast."
- Choose Brazilian vs European Portuguese — The translation differs significantly. Specify pt-BR or pt-PT to match your audience geography.
- Use SRT for YouTube, VTT for web — YouTube prefers SRT format for subtitle uploads. Web video players (HTML5) prefer WebVTT. Both are generated from the same transcription.
- Spot-check timestamps at scene transitions — Subtitle timing is most likely to drift at hard cuts where audio context changes. A quick review at each scene boundary catches the rare timing issues.
- Request burned-in captions for social media — Platform subtitle selectors are unreliable on mobile. Burned-in captions guarantee every viewer sees the text regardless of their device settings.
Output Formats
| Format | Use Case | Platform |
|---|
| SRT | Selectable subtitles | YouTube, Vimeo |
| VTT |
Web video players | HTML5, HLS |
| STL | Broadcast standard | TV, streaming |
| Burned MP4 | Embedded captions | TikTok, Reels, Stories |
Related Skills
字幕制作器 — 你的观众说四十种语言,而你的视频只说一种。这个工具能在三分钟内弥合这一鸿沟。
你已完成录制。内容扎实——四十分钟的对话、见解和专业知识,以清晰的音频形式被捕捉下来。现在真正的工作开始了:让内容触手可及。大阪的观众会跳过任何没有日语字幕的视频。马德里的通勤者在火车上静音观看,需要西班牙语字幕才能跟上。伦敦的听障观众依赖与每个音节同步的精准英语字幕。这些观众中的每一位都代表着你受众的一部分,一旦字幕缺失或时间不准,他们就会流失。
传统字幕制作是一项体力活。专业字幕员每分钟视频每种语言收费1-3美元。一个四十分钟的播客剧集,五种语言,成本在200-600美元之间,需要三到五个工作日。Fiverr上的自由职业者交付更快,但时间轴会偏移,翻译会遗漏文化细微差别,修改周期又增加两天。等字幕到手时,内容已经失去了时效性。字幕制作器将整个工作流程压缩为一次API调用:上传视频,指定语言,接收帧级精准、已设定样式和时间的字幕,立即可用。
使用场景
- 1. 播客全球分发 — 一次录制,五十种语言(每集) — 播客视频是增长最快的内容形式,非英语受众是增长最快的听众群体。字幕制作器:转录口语对话并识别说话者(区分主持人和嘉宾),将转录文本分割成尊重句子边界和自然停顿的字幕块,将每个字幕块翻译成目标语言同时保留对话语气,以词级精度将每条字幕与音频波形同步,并导出每种语言的SRT文件或将字幕直接烧录到单独的视频渲染中。播客主将一次录制发布到YouTube,附带十二种语言的可选字幕轨道,无需额外录制一个字,可触达的受众就增加了两倍。
- 2. 跨办公室企业培训 — 每种本地语言的合规内容(每个模块) — 跨国公司在总部制作培训视频,分发到全球各地的办公室。字幕制作器:接收培训模块(通常为15-30分钟,包含演讲者和幻灯片),转录包含行业特定技术术语的旁白,翻译成所需的办公室语言(全球公司通常需要8-15种语言),格式化字幕以避免与屏幕文字和幻灯片内容重叠,并以LMS(学习管理系统)所需的格式交付文件。此前每个模块在十种语言上花费2000美元和两周时间的合规团队,现在一个下午就能完成同样的工作。
- 3. YouTube创作者拓展 — 突破语言天花板(每个频道) — YouTube频道在耗尽母语受众后就会遇到增长瓶颈。字幕制作器:分析频道的观众地理分布以识别最高机会的语言,转录现有视频库,翻译并设定优先语言的字幕时间轴,生成YouTube内置字幕选择器可接受的SRT文件。创作者为每个新视频上传字幕文件,YouTube算法开始向已设置这些语言偏好的观众推荐内容。在其前五大观众语言中添加字幕的频道,一致报告在三个月内受众增长20-40%。
- 4. 纪录片和电影后期制作 — 电影节级多语言交付(每个项目) — 电影节要求特定的字幕格式、时间标准和翻译质量。字幕制作器:处理技术规格(每行最大字符数、最小显示时长、基于字符数的阅读速度计算),应用专业字幕格式(最多两行,按惯例居中或左对齐,正确处理画外音的斜体),并以电影节要求的格式(SRT、VTT、STL或嵌入式烧录)交付最终文件。负担不起3000美元专业字幕公司的独立电影人,能以极低的成本和时间周期获得电影节级的字幕交付。
- 5. 社交媒体复用 — 每个平台的静音滚动字幕(每种格式) — 百分之八十五的社交媒体视频是在无声状态下观看的。字幕制作器:将长格式字幕重新格式化为社交平台所需的大号、粗体、居中的字幕样式,针对短注意力跨度调整时间(更短的显示时长、更快的过渡),应用平台特定的安全区域(避开TikTok用户名区域、Instagram操作按钮、YouTube片尾区域),并以垂直9:16比例导出,字幕烧录在视频中。将单个长视频重新利用为十个平台特定片段的内容团队,无需手动调整即可获得每个目标平台正确加字幕的版本。
工作原理
第一步 — 上传你的视频
任何格式,任何长度。无论视频编码器如何,音频轨道都会被提取和处理。
第二步 — 选择目标语言
从50多种支持的语言中选择。AI会根据内容类型调整翻译风格——博客类用对话风格,企业类用正式风格,技术类用精确风格。
第三步 — 生成
bash
curl -X POST https://mega-api-prod.nemovideo.ai/api/v1/generate \
-H Authorization: Bearer $NEMO_TOKEN \
-H Content-Type: application/json \
-d {
skill: subtitle-maker,
prompt: 为一个关于创业融资的25分钟播客访谈生成字幕。主持人说美式英语,嘉宾说法式英语。目标语言:英语(修正转录文本)、日语、葡萄牙语(巴西)、德语、西班牙语(拉丁美洲)。风格:对话式,保留幽默和非正式语言。格式:每种语言一个SRT文件,外加一个英语烧录版MP4,白色文字,黑色描边,位于底部居中安全区域。,
languages: [en, ja, pt-BR, de, es-LATAM],
output_formats: [srt, burned-mp4],
caption_style: conversational
}
第四步 — 审核并发布
下载SRT文件,抽查你熟悉的语言的翻译,然后上传到你的视频平台。烧录版可直接用于发布。
参数
| 参数 | 类型 | 必填 | 描述 |
|---|
| prompt | 字符串 | ✅ | 字幕要求和上下文 |
| languages |
数组 | | 目标语言代码 |
| output_formats | 数组 | | srt, vtt, stl, burned-mp4 |
| caption_style | 字符串 | | conversational, formal, technical |
输出示例
json
{
job_id: sm-20260330-001,
status: completed,
source_language: en,
target_languages: [en, ja, pt-BR, de, es-LATAM],
subtitle_files: {
en: podcast-ep42-en.srt,
ja: podcast-ep42-ja.srt,
pt-BR: podcast-ep42-pt-BR.srt,
de: podcast-ep42-de.srt,
es-LATAM: podcast-ep42-es-LATAM.srt
},
burned_video: podcast-ep42-captioned-en.mp4,
duration: 25:14,
word_count: 4832
}
提示
- 1. 在提示中提供上下文 — 提及主题、说话者口音和专业术语领域可将转录准确率提高15-20%。一个关于机器学习的播客比一个播客效果更好。
- 选择巴西葡萄牙语还是欧洲葡萄牙语 — 翻译差异很大。指定pt-BR或pt-PT以匹配你的观众地理位置。
- YouTube使用SRT,网页使用VTT — YouTube偏好SRT格式用于字幕上传。网页视频播放器(HTML5)偏好WebVTT。两者都从同一转录文本生成。
- 在场景转换处抽查时间戳 — 字幕时间轴最可能在音频上下文变化的硬切处偏移。在每个场景边界快速检查可以捕捉到罕见的时间问题。
- 为社交媒体请求烧录字幕 — 平台字幕选择器在移动设备上不可靠。烧录字幕保证每个观众无论设备设置如何都能看到文字。
输出格式
| 格式 | 使用场景 | 平台 |
|---|
| SRT | 可选字幕 | YouTube, Vimeo |
| VTT |
网页视频播放器 | HTML5, HLS |
| STL | 广播标准 | 电视, 流媒体 |
| Burned MP4 | 嵌入式字幕 | TikTok, Reels, Stories |
相关技能