隆重推出 Eleven v4，这是我们迄今为止最具情感表现力的模型。

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准确的语音转文字工具是任何内容创作者技术栈中的必备利器。借助 AI 驱动的 语音转文字， 你可以将现有音频转化为视频字幕、播客节目笔记、博客文章等。它帮助你跨渠道重新利用内容，触达更广泛的受众。 

语音转文字对忙碌的内容创作者来说也是显著的省时利器。手动转录每一段 旁白 和播客可能需要数小时，但语音转文字模型几分钟就能完成，让你轻松跟上发布节奏。 

在本文中，我们将探讨面向内容创作者的语音转文字如何运作、为何如此高效，以及如何将其融入你的内容创作工作流。 

Speech to text for creators by the numbers. Caption and Scribe v2 statistics: 87% use captions, 98% accuracy, 90+ languages.

摘要

  • 内容创作者使用语音转文字模型生成视频字幕、创建播客节目笔记，并以书面形式重新利用音频内容。 
  • AI 驱动的语音转文字模型比社交媒体自动生成的字幕提供更准确的转录和格式。 
  • 通过使用语音转文字转录播客，你可以快速创建节目笔记，或将其重新利用为博客和新闻通讯。 
  • 借助关键术语提示，你可以明确名称和行业特定术语，从而获得更准确的转录。 
  • 要翻译字幕，请用你选择的语言为视频配音，然后使用语音转文字转录配音后的音频。 

语音转文字对内容创作者的主要用途是什么？

内容创作者将语音转文字用于多种任务，包括： 

  • 字幕：语音转文字为 YouTube、TikTok 和 Instagram Reels 等平台上的短视频和长视频生成准确的字幕和说明文字。 
  • 播客节目笔记：语音转文字帮助你将原始节目音频转化为精炼的书面节目笔记。 
  • 博客和新闻通讯：借助语音转文字，你可以将现有音频或视频内容转化为博客、新闻通讯和其他书面内容。 
  • 可搜索的内容库：自动语音转文字工具可转录你现有的内容库，使其可被搜索。你可以借此在内部保持井然有序，或为受众创建外部资源库。 
  • 内容翻译：语音转文字可将你的内容翻译成不同语言，以触达全球受众。 

许多社交媒体平台为视频内容提供自动字幕生成功能。然而，这些工具可能出错，且标点使用有限，导致字幕难以阅读。 

使用专用的语音转文字模型有助于你为视频创建干净、准确的字幕。你还可以下载转录文本并在不同平台上重新利用。 

Speech-to-text creates captions, show notes, blogs, searchable libraries, and translations.

将转录文本转化为字幕和说明文字

字幕和说明文字对社交媒体视频而言已不再是可选项。它们让所有人都能观看视频，无论其听力水平如何。它们还让观众可以在静音状态下观看你的视频。 

静音观看已成为许多社交媒体用户的默认方式，尤其是在公共场所或手边没有耳机时。一项2026年的研究发现， 87%的美国人 在观看视频时至少有时会使用字幕。 

事实上，42%的美国观众即使视频音频已经完美，也仍然偏好字幕，这表明为每个视频添加字幕能在多大程度上让你的内容更具吸引力。

语音转文字 模型会转录你的社交媒体视频，用于生成字幕和说明文字。 ElevenLabs Caption Generator 可生成带词级和字符级时间戳的转录文本，使其与视频中的语音同步。即使你将原始视频剪辑成适用于不同平台的短片，这些时间戳仍会保留。 

字幕还可导出为 SRT 和 VTT 文件，因此你可以直接上传到社交媒体或你常用的视频编辑平台。编辑视频时，务必调整换行，使字幕与对话的 节奏 自然衔接。 

SRT 与 VTT：应该导出哪种字幕文件？

SRT 和 VTT 都包含相同的时间戳和文本。 

以下是选择每种格式的适用场景：

  • 当你需要一个简单、且大多数社交平台和视频编辑软件都能接受的文件时，请导出 SRT。 
  • 当你将字幕或转录文本发布到播客应用时，请导出 VTT，因为它可以添加说话人标签和基本样式，从而提升可读性。

If you’re working on social media captions, then SRT is likely the right option. 

SRT suits social captions; VTT suits podcast apps with speaker labels and styling.

Clean vs. verbatim transcription for social media captions

When creating social media captions, you can choose between clean and verbatim transcription. Clean transcription removes repetitions and filler words like ‘um’ and 'uh,' while verbatim transcription captures everything exactly as it’s said. 

While clean captions are easier to read on-screen, verbatim captions are better for total accessibility. The right choice for you depends on your audience and their unique needs. 

ElevenLabs Scribe v2 model uses verbatim transcription as the default setting. However, you can switch to clean transcription by toggling on “Clean Transcript” in ElevenLabs Playground or using the no_verbatim parameter with ElevenAPI. 

Choose clean for short-form video, where viewers are likely to read your content while skimming a video. Verbatim is best for longer interviews or research scenarios where it’s important to accurately transcribe if exact wording matters.

Comparison of clean and verbatim captions: clean for short videos, verbatim for interviews.

Transcribing podcasts for show notes and repurposing

Your podcast serves as the foundation for your entire content strategy. To reach a wider audience, take the ideas discussed in each episode and turn them into show notes, blogs, newsletters, and short-form social media content. 

Speech to text tools help you transcribe your podcast episodes for easy repurposing. After creating the transcript, you can edit it into show notes your audience can reference at any time.

You can also turn sections of each transcript into blog and newsletter content, rather than writing articles from scratch. This helps you reach audiences who prefer to read rather than listen. 

Written content libraries are easily searchable. If your audience wants to revisit an idea from a previous episode, all they have to do is search your show notes or blog. Written content is also more likely to show up in search results than audio content, so it boosts your online visibility. 

The most efficient way to transcribe podcasts is to use a multichannel transcription setup. To do this, use a separate microphone for each speaker. The transcription model will transcribe each speaker separately, so you get accurate results even when speakers talk over each other. 

Additionally, turn on audio event tagging when transcribing podcasts. This setting captures laughter, whispering, sighing, or applause, so readers get the full context. To do this with ElevenLabs Speech to Text, toggle on “Tag Audio Events” or use the tag_audio_events parameter with ElevenAPI. 

Identifying speakers on a single recording

Multichannel transcription supports up to five channels. If you record every voice on one mixed track or have more voices than channels, turn on speaker diarization instead. Scribe v2 labels each speaker in the transcript and supports up to 32 speakers at once. After transcribing, you can rename speakers by clicking the edit button next to the speaker's label in the ElevenLabs dashboard. 

Multichannel uses separate mics; diarization uses one mixed recording; enable audio event tagging.

Repurposing recordings into clips, blogs, and newsletters

Transcribe an interview once and reuse it across every channel you publish on. 

The same transcript supplies the captions and the raw material for clips and written content. ElevenLabs STT is used by creators and businesses around the world to help expedite the podcast-to-written-content pipeline.

Every podcast, keynote and interview I do goes through speech to text. One transcript gives me accurate captions for the whole thing, the best moments to clip into short videos, and key quotes I turn into written content.

Isaac PeirisFounder, Brand ChemistryDiscover their work

Here’s a simple repurposing workflow you can use:

  1. Transcribe the full recording and add guest and brand names by adding them to your pronunciation dictionary.
  2. Export the captions as SRT or VTT and use them on the full video. 
  3. Read through the transcript for the strongest moments. Click a word in the transcript to jump to that point in the audio, then use the word-level timestamps to cut each clip at the exact start and end.
  4.  Copy key quotes into social posts, and edit longer sections into a blog post or newsletter.

It only takes a few minutes to create long-form content from your STT podcast transcriptions.

Workflow for repurposing one recording: transcribe, caption, clip, and create posts.

Turning your videos into transcripts for LLM analysis

After turning your videos into text, you can bulk upload your content to an LLM for analysis. Identify new ideas, highlight talking points you can use for content repurposing, or simply identify what’s working about your content. 

Everything I make starts with my voice, but most of my AI tools still work best with text. ElevenLabs Scribe is my translation layer: it turns my videos into transcripts, so any LLM can analyse what's working (and what isn't). In my opinion, that closes one of the biggest gaps in AI.

Charlie HillsAI EducatorDiscover their work

Here’s how to set up a similar workflow:

  • Upload your video files for transcription: ElevenLabs STT accepts video as well as audio, with files up to 3 GB and up to 10 hours long. 
  • Turn on speaker diarization: If more than one person speaks, enable diarization so the LLM can tell who said what. 
  • Upload to your LLM of choice: Add in analytics numbers or additional information to improve the insights you can derive.
  • Ask specific questions about your content: Asking, “Compare the first 20 seconds of my top-performing videos to see which hooks work best for my audience,” or “List every claim I’ve made about X topic and flag any contradictions," can help unearth new insights.
Infographic explains analyzing videos with an LLM: upload, diarize, analyze, and ask questions.

Dictating prompts and notes

Voice typing lets you give an AI tool the background and nuance that you might skip if you had to type it all out. Speech to text turns what you say into text you can paste straight into a prompt, a brief, or your notes. Some writers are even pivoting to using STT to help them write faster by transcribing speech instead of typing everything out.

I can’t imagine working without it, especially when it comes to prompting. There’s so much nuance that needs to go into every interaction with AI and I can’t be bothered to type all of that.

Jamey GannonBrand Designer & AI Creative DirectorDiscover their work

There are two ways to dictate with ElevenLabs:

  • Record and upload: Record a voice note, upload it to the ElevenLabs Speech to Text page, and copy the transcript into your AI tool.
  • Stream in real time: If you are building your own tools, Scribe v2 Realtime transcribes speech as you talk over WebSockets, with low latency of about 150 ms according to the docs.

Make sure to turn on no verbatim mode, which removes filler words, false starts, and disfluencies, to make sure a rambling voice note arrives as readable text. Then add the product names and jargon you use often with keyterm prompting to ensure they’re transcribed correctly every time. Batch transcription accepts up to 1,000 keyterms, and realtime accepts up to 50.

ElevenLabs dictation options: upload recordings or use Scribe v2 Realtime with keyterms.

Getting names, brands, and niche terms right with STT

Speech to text models won’t always recognize speaker names, brand names, or industry-specific terms. When transcribing your content, use keyterm prompting to clarify spelling and formatting. 

Keyterm prompting allows you to provide the correct spelling for names or niche terms before transcription begins. For each video or podcast episode, add names of guests, channels, or brands you mention frequently. You may also need to add industry jargon or other niche terms.

Keyterm prompting makes your transcripts more accurate and easier for audiences to read. It also speeds up the editing process, since you won’t need to correct these terms manually. 

Reaching audiences in other languages

Speech to text models go beyond transcription. As a content creator, you can also use them to localize your content and reach audiences who speak other languages. 

ElevenLabs Scribe v2 transcribes content in over 90 languages. You can pair it with ElevenLabs Dubbing Studio to build a complete localization workflow.

To do this, upload the audio to the Dubbing Studio to dub content in your preferred language. Then, transcribe the dubbed audio to create localized captions, show notes, or other written content. 

What speech to text doesn’t do for you

Speech to text is a powerful tool, but it has its limitations. While speech to text models transcribe audio with accurate timestamps, they aren’t video editors. You’ll need to use a separate video editing platform to create the final product. 

When creating content, start by using speech to text to transcribe the audio. Then, export both the raw transcript and the captions to use across your content. Upload the captions to your video editor or directly to social media, and use the transcript as a basis for show notes, blog posts, and other written assets. 

Be sure to review every transcript before you publish, especially names and passages where speakers are talking at the same time. The Transcript Editor lets you fix mistakes easily inside the app.

How to choose the best speech to text tool as a content creator

The right STT tool transforms your recording into clean, correctly spelled text with timestamps that make content repurposing as easy as possible.

When searching for the best speech to text platform, make sure it has these five things:

  1. Accuracy in your language: STT performance can vary between languages, especially for languages with less available data. Look for published figures on accuracy. For example, ElevenLabs Scribe v2 has 98% accuracy (~2% WER) in languages such as English, French, Italian, Spanish, and others.
  2. Handling of names and industry jargon: Your STT model needs to be able to understand the context of your conversations and transcribe them accurately. Look for STT platforms that offer keyterm prompting and pronunciation dictionaries.
  3. Timestamps and export formats: You’ll need word-level timestamps and the option to export SRT or VTT captions.
  4. Speaker handling: Especially if you’re working with audio that features more than one speaker, accurately identifying those voices as distinct will help keep transcripts clear. 
  5. File limits: For larger audio or video projects, like podcasts, you may have to deal with larger file sizes. ElevenLabs accepts files up to 3GB and, in standard mode, up to 10 hours. 

Here’s how a dedicated STT model like Eleven Scribe v2 compares to the automated caption tools built into social platforms: 

What you need

Automatic platform captions

Dedicated model such as Scribe v2

Correct spelling of names and brands

Can make mistakes

Keyterm prompting, up to 1,000 terms per batch request

Readable punctuation

Often limited

Clean output with no verbatim mode

Reusing the text elsewhere

Captions stay on the platform

Download the transcript and captions and use them anywhere

Timing

Tied to that platform’s player

Word-level timestamps you can carry into clips

Languages

Varies by platform

90+ languages

Two ways to get started: no-code upload or the API

With ElevenLabs, there are two ways to transcribe your video content using speech to text. 

Your first option is to upload your audio file to the ElevenLabs Playground dashboard. Adjust your transcription settings, edit the output directly in the Transcript Editor, then export in the file format you need. The process is quick and easy, and there’s no coding required. 

If you’re building your own content publishing workflow, you can also transcribe using ElevenAPI. Add the API directly to the tools you’re already building to get the same accurate transcriptions without switching tools.

Sign up for ElevenLabs to get started with STT today, or learn more about how speech to text for creators is changing the game.

FAQ

To transcribe a YouTube video for captions, upload the original video to a speech to text tool like ElevenLabs Playground. Download the transcript as an SRT or VTT file and upload it to your video editor or directly to YouTube’s Caption Editor. 

In most cases, podcast captions should be cleaned up by removing repetitions, stutters, and filler words like ‘um’ and ‘uh’. This makes them easier to read while preserving the meaning of what’s being said. 

Yes. To do this, start by dubbing the video in your target language, then transcribe the dubbed video. 

No, you don’t always need an API for speech to text. Instead, you can upload a file directly to a tool like ElevenLabs Playground.

Open the video’s description on YouTube and click Show transcript. YouTube shows a transcript for any video that has captions. If you need a file you can edit, reuse as captions, or turn into show notes, transcribe the YouTube video with a speech to text tool like ElevenLabs instead.

Written by

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Jack Limebear

Growth Marketing

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Jack Limebear is on the Growth team, acting as a content writer and strategist across the blog and insights pages. Before ElevenLabs, he spent over a decade leading content strategy for organizations ranging from fast-growing SaaS startups to Fortune 500 companies. He holds a Master's degree in English Literature from the University of Cambridge.

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